1,292 AI Development jobs in the United States

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified work location.At the heart of innovation at Schwab, the AI Incubation and Enablement Team is where cutting-edge ideas come to life. Our mission is to develop new and novel AI applications that transform the way Schwab serves its clients, enhancing experiences and driving value across the organization. We don’t just solve today’s challenges—we anticipate tomorrow’s opportunities, pioneering solutions that position Schwab as a leader in financial services innovation.As Schwab’s central AI business enablement team, we bridge the gap between research, technology, and business units, ensuring that AI-powered innovation is integrated seamlessly and strategically throughout the organization. From exploring transformative AI technologies to delivering practical applications, our team is dedicated to empowering every corner of Schwab with the tools, insights, and capabilities to succeed in an increasingly AI-driven world.We are looking for an experienced and innovative Senior Manager to lead our AI Business Development function and play a pivotal role in shaping and executing Schwab’s firmwide AI strategy. Reporting to the Director of AI Business Enablement, this role serves as a critical bridge between the external AI ecosystem, and internal business and technical stakeholders, helping to embed AI into the operational DNA at Schwab. You will represent the AI Business Enablement team in key forums and working groups. The ideal candidate is both technically proficient and business-savvy, with a deep understanding of AI technologies and the broader tech ecosystem.

What You’ll Do

• AI Business Development: Engage with the AI business ecosystem, from early stage-up to enterprise, to identify emerging capabilities and communicate their potential to Schwab executives. Partner with cross-functional teams to ensure responsible and scalable AI adoption of potential solutions & integration.

• Competitive Analysis: Stay current on emerging AI technologies, trends, and best practices to inform Schwab’s AI roadmap. Evaluate and recommend new AI capabilities for enterprise adoption, including partnerships with startups and vendors.

• AI Strategy & Implementation: Support the development and execution of GenAI-driven solutions across business units, translating business needs into AI opportunities by collaborating with stakeholders across product, operations, and technology.

• Executive Communication : Manage executive-level communications, including presentations, briefings, and strategic updates. Craft compelling narratives that articulate the value and impact of AI initiatives to senior leadership.

What you’ll gain

• Be a key driver of Schwab’s AI transformation journey.

• Opportunity to network with executives at leading external companies in the AI ecosystem

• Gain exposure to cutting-edge AI technologies and strategic business initiatives.

• Collaborate with a dynamic, forward-thinking team at the forefront of financial services innovation.

• Ability to contribute to strategic business initiatives, positioning yourself for an impactful career at Schwab

• Develop your personal brand and key relationships across the different enterprises

Required Qualifications

• A Bachelor’s degree is required.
• 5+ years of proven experience within AI Business Development or Partnership teams, having a defined track record for engaging with the wider AI ecosystem to identify and leverage opportunities for collaboration with other AI companies.
• 5+ years developing understanding ofAI technologies and trends, for informed discussions and strategic decision-making.
• 8+ years professional analytical and problem-solving, assessing market opportunities and developing strategies to capitalize on them.
• 8+ years of demonstrated senior-level communication skills and abilities to craft compelling narratives and deliver effective presentations tailored to executive audiences.
• 8+ years' experience influencing cross-functional stakeholders and championing initiatives across departments.
• 3+ years of experience enabling effective engagements with executives and key stakeholders in the AI industry.

Preferred Qualifications

• MBA or equivalent post-MBA level experience.
• Excellent communication skills—both written and verbal—with the ability to craft compelling narratives and deliver effective presentations tailored to executive audiences.
• Strong relationship-building and collaboration skills; a team player with experience influencing cross-functional stakeholders and championing initiatives across departments.
• Strategic mindset with the ability to identify and leverage opportunities for collaboration between Schwab and other AI companies, ensuring productive and mutually beneficial connections.
• Exceptional communication and interpersonal skills.

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified work location.At the heart of innovation at Schwab, the AI Incubation and Enablement Team is where cutting-edge ideas come to life. Our mission is to develop new and novel AI applications that transform the way Schwab serves its clients, enhancing experiences and driving value across the organization. We don’t just solve today’s challenges—we anticipate tomorrow’s opportunities, pioneering solutions that position Schwab as a leader in financial services innovation.As Schwab’s central AI business enablement team, we bridge the gap between research, technology, and business units, ensuring that AI-powered innovation is integrated seamlessly and strategically throughout the organization. From exploring transformative AI technologies to delivering practical applications, our team is dedicated to empowering every corner of Schwab with the tools, insights, and capabilities to succeed in an increasingly AI-driven world.We are looking for an experienced and innovative Senior Manager to lead our AI Business Development function and play a pivotal role in shaping and executing Schwab’s firmwide AI strategy. Reporting to the Director of AI Business Enablement, this role serves as a critical bridge between the external AI ecosystem, and internal business and technical stakeholders, helping to embed AI into the operational DNA at Schwab. You will represent the AI Business Enablement team in key forums and working groups. The ideal candidate is both technically proficient and business-savvy, with a deep understanding of AI technologies and the broader tech ecosystem.

What You’ll Do

• AI Business Development: Engage with the AI business ecosystem, from early stage-up to enterprise, to identify emerging capabilities and communicate their potential to Schwab executives. Partner with cross-functional teams to ensure responsible and scalable AI adoption of potential solutions & integration.

• Competitive Analysis: Stay current on emerging AI technologies, trends, and best practices to inform Schwab’s AI roadmap. Evaluate and recommend new AI capabilities for enterprise adoption, including partnerships with startups and vendors.

• AI Strategy & Implementation: Support the development and execution of GenAI-driven solutions across business units, translating business needs into AI opportunities by collaborating with stakeholders across product, operations, and technology.

• Executive Communication : Manage executive-level communications, including presentations, briefings, and strategic updates. Craft compelling narratives that articulate the value and impact of AI initiatives to senior leadership.

What you’ll gain

• Be a key driver of Schwab’s AI transformation journey.

• Opportunity to network with executives at leading external companies in the AI ecosystem

• Gain exposure to cutting-edge AI technologies and strategic business initiatives.

• Collaborate with a dynamic, forward-thinking team at the forefront of financial services innovation.

• Ability to contribute to strategic business initiatives, positioning yourself for an impactful career at Schwab

• Develop your personal brand and key relationships across the different enterprises

Required Qualifications

• A Bachelor’s degree is required.
• 5+ years of proven experience within AI Business Development or Partnership teams, having a defined track record for engaging with the wider AI ecosystem to identify and leverage opportunities for collaboration with other AI companies.
• 5+ years developing understanding ofAI technologies and trends, for informed discussions and strategic decision-making.
• 8+ years professional analytical and problem-solving, assessing market opportunities and developing strategies to capitalize on them.
• 8+ years of demonstrated senior-level communication skills and abilities to craft compelling narratives and deliver effective presentations tailored to executive audiences.
• 8+ years' experience influencing cross-functional stakeholders and championing initiatives across departments.
• 3+ years of experience enabling effective engagements with executives and key stakeholders in the AI industry.

Preferred Qualifications

• MBA or equivalent post-MBA level experience.
• Excellent communication skills—both written and verbal—with the ability to craft compelling narratives and deliver effective presentations tailored to executive audiences.
• Strong relationship-building and collaboration skills; a team player with experience influencing cross-functional stakeholders and championing initiatives across departments.
• Strategic mindset with the ability to identify and leverage opportunities for collaboration between Schwab and other AI companies, ensuring productive and mutually beneficial connections.
• Exceptional communication and interpersonal skills.

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

Job Description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

If making an impact and having a seat at the table is important to you, this is the opportunity for you. Join our small, rapidly-growing team at Quadric to develop supercomputer technology designed for the Edge. In this position, you will be a core member of our team, and will have an opportunity to grow in the company of expert technologists who also happen to be good people you’ll want to spend time with.

What We Value:

Integrity, Humility, Happiness

What We Expect:

Initiative, Collaboration, Completion

As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.

• Drive the lowering and optimization of cutting edge deep neural networks using Quadric’s technology
• Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems
• Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture

Requirements

• MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industry
• Strong background in numerical and/or algorithmic optimization
• Understanding of building application-appropriate heuristics for NP-hard problems
• Knowledge of both classical as well as ML algorithms, e.g., Computer Vision, DSP, DNNs, etc.
• Strong background in graphs and related algorithms

• Proficiency in C++ >= 11
• Experience using / developing in TVM
• Knowledge of front-end and back-end compiler techniques

• Develop a deep understanding of the hardware platform and low level software and leverage that for optimal performance of applications.
• Have a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric EPU parallel processor.

Benefits

• Provide competitive salaries and meaningful equity
• Provide a politics free community for the brilliant minds who want to make an immediate impact
• Provide an opportunity for you to build long term career relationships
• Foster an environment that allows for lasting personal relationships alongside professional one

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Job Description

About the Company

OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. We're off to a big start, and we're doing it on our terms and timelines.

About the Position

We are seeking a Computer Vision and Deep Learning Engineer with 4+ years of experience (or equivalent) in developing innovative AI solutions. The ideal candidate will excel in conducting advanced research, implementing cutting edge technology in applications, designing production-ready applications, and optimizing vision systems across on-premises and cloud environments. This role requires strong expertise in Python (e.g., PyTorch, OpenCV) and proficiency in scalable data processing for images, videos, and multimodal datasets.

Key Responsibilities

• Conduct advanced research to develop, implement and experiment traditional and cutting edge computer vision and deep learning algorithms.
• Design and build production-ready vision and deep learning applications to meet diverse internal and external requirements.
• Optimize existing on-device and on-premises vision and deep learning software for maximum performance and efficiency.
• Develop scalable systems to process, organize, and analyze large datasets, including images, videos, and IMU data.
• Document research findings, system designs, and software implementations to ensure clarity and reproducibility.
• Integrate, test, and deploy high-performance solutions across on-premises and cloud environments.
• Collaborate with cross-functional teams in a fast-paced, dynamic environment to innovate and solve complex problems.

Requirements

Qualifications

• Graduate degree, or at least 4 years of experience (or equivalent), in computer vision, deep learning, or related fields.
• Strong foundational knowledge in deep learning, computer vision, data structures, algorithms, software engineering, and computer systems architecture.
• In-depth understanding of the latest advancements in computer vision and deep learning technologies, and their practical applications.
• Proven ability to work with raw, real-world datasets, transforming theoretical concepts into effective solutions.
• Strong software development skills to design, implement, validate, and iterate on solutions efficiently.
• Proficiency in Python and frameworks/libraries such as PyTorch, OpenCV, NumPy, SciPy, Scikit-learn, Pandas, Matplotlib. Experience with FastAPI, Pydantic, C/C++, and Bash are nice to have.
• Excellent planning, problem-solving, and communication skills, with the ability to work independently and collaboratively in team settings.

Preferred Qualifications

• Expertise in deep learning models for images, videos, and time-series data.
• Experience with computer vision applications for resource-constrained devices.
• Familiarity with multiple-view geometry in computer vision.
• Proficiency in developing software for multimodal data processing.
• Proficiency in developing systems using sensors such as IMU, camera, GPS, and LIDAR.
• Research or industry experience in autonomous driving, robotics, or VR/AR.
• Expertise in parallel programming, system optimization, and real-time processing.
• Hands-on experience with large-scale image search and recommendation systems.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Published research in top-tier conferences or journals (e.g., CVPR, ICCV, ECCV, NeurIPS).

Benefits

• Base salary + bonus & stock options eligibility
• Health insurance, dental, vision, PTO days
• Flexible working hours and remote work options
• Opportunities for professional growth and development
• A collaborative and innovative work environment

Other Notes

Compensation package offerings are based on candidate experience and technical qualifications, as it relates to the role. These are identified and determined throughout your interviewing experience.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

TO ALL AGENCIES:

Please, no phone calls or emails to any employee of OneTrack outside of the Talent organization. Our policy is to only accept resumes from agencies via Workable. Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of OneTrack. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid.

Job Description

The Opportunity

We're building the AI-powered operating system for the next generation of software creation—where traditional engineers and non-technical builders (think lawyers, designers, and founders) can collaborate, create, and deploy AI-driven applications using plain English.

This isn’t just another IDE or low-code tool. We’re threading an impossible needle:

• Deep enough for engineers who demand power and flexibility.

• Accessible enough for domain experts who’ve never written a line of code.

• Compelling enough to make both groups wonder how they ever worked without it.

If you’ve ever wanted to architect systems that redefine how software is built—and see your work used by hundreds of thousands of builders—this is your shot.

• Architect foundational systems for collaborative AI development (think Google Docs meets VSCode, with real-time multi-user editing via Y.js).

• Build and scale LLM orchestration that actually works—low latency, debuggable, and reliable for both real-time and long-running AI agents.

• Solve hard problems , like designing an executor that handles arbitrarily long-running agents, scales from zero to thousands in seconds, and remains traceable for end users.

• Write a ton of code (mostly TypeScript/Next.js) while keeping our AWS/Cloudflare stack humming.

• Wear multiple hats : debug user issues, make product calls on the fly, and help shape the future of AI development.

• 4+ years of experience building real products used by real people.

• An AI-curious engineer with hands-on experience building with LLMs (bonus if you’ve worked on agents or orchestration).

• Technical chops : Strong TypeScript skills (our whole stack is TS), front-end fluency (React/Next.js), and solid system design intuition.

• A builder at heart : You’ve shipped side projects, contributed to OSS, or have a presence that shows you love creating things.

• Low ego, high output : You fix problems before being asked, care more about users than your code, and thrive in fast-moving environments.

• Ex-founder/CTO? Even better—our team is stacked with former startup leaders who’ve raised VC, but we’re open to exceptional engineers who just love to build.

• STEM degree from a top-tier school.

• Experience with real-time collaboration tools (CRDTs, WebSockets, etc.).

• A knack for making complex systems feel simple.

• Unfounded arrogance (we’re a low-ego team).

• Poor communicators (we move fast—clear, concise wins).

• Work with ex-CTOs and founders who’ve built and scaled before.

• Shape the AI operating system that will define the next era of software.

• Backed by $30M in seed funding (largest in YC history).

• 300K+ signups and growing fast.

Job Description

This is a hybrid role based in Austin, TX but we are also open a remote contractor as well.

Our health-tech client is seeking a highly skilled AI Front End Engineer to lead the implementation of an AI-First Development process, leveraging cutting-edge AI tools to dramatically increase productivity. You will be responsible for integrating AI tooling throughout the software development lifecycle, with a primary focus on React and Next.js applications. This is a front-and-center role for someone passionate about (and with experience) transforming front-end engineering with AI, driving both innovation and efficiency.

Key Responsibilities:

• Lead the adoption and integration of AI tools across all phases of front-end development, from ideation and requirements gathering to deployment and maintenance.
• Architect, develop, and optimize user interfaces using React and Next.js as core frameworks
• Prototype and implement AI-assisted workflows (e.g., for code generation, UI scaffolding, automated testing, debugging, and documentation)
• Mentor and upskill engineering teams in AI-first methodologies, including prompt engineering and best practices for collaborating with AI systems
• Collaborate with product managers, designers, and backend teams to ensure seamless integration of AI-driven features and workflows
• Continuously evaluate and integrate emerging AI tools to maintain a state-of-the-art development environment
• Oversee code reviews, refactoring, and optimization of both human- and AI-generated code to ensure maintainability, scalability, and performance

Required Skills & Experience:

• Expertise in React and Next.js, with a strong portfolio of shipped web applications

Deep understanding of AI tooling for front-end development, such as (These are just examples):

• GitHub Copilot, Cursor, Codeium, Tabnine (AI code assistants)
• Vercel v0, Locofy, or similar “Figma-to-code” tools
• AI-driven UI generators and prototyping tools (e.g., Galileo, Penpot AI)
• AI-based testing and QA automation (e.g., QA Wolf, Testim)
• LLMs for documentation and requirements (e.g., ChatGPT, Claude)
• Experience leading or mentoring engineering teams in adopting new technologies and workflows
• Strong communication and collaboration skills; ability to translate business requirements into technical solutions and explain AI-driven processes to non-technical stakeholders
• Proficiency in modern front-end tooling (e.g., Redux, Webpack, Babel, ESLint) and version control (Git)
• Familiarity with backend integration (RESTful APIs, GraphQL) and cloud platforms (AWS, Vercel)

Preferred Qualifications:

• Demonstrated success in AI-first or AI-native software environments.
• Experience with prompt engineering and customizing LLMs for developer workflows
• Track record of delivering significant productivity gains through automation or AI
• Understanding of data privacy, security, and compliance in AI-driven applications

What We Offer:

• Opportunity to define and implement the future of AI-powered front-end engineering.
• Creative freedom to experiment with and adopt the latest AI technologies.
• Competitive salary, benefits, and flexible work arrangements.
• A collaborative, forward-thinking team environment.

If you are passionate about redefining front-end development with AI and have a proven ability to lead teams through technological transformation, we want to hear from you.

#ZR

Job Description

Description:

Company Overview

Ambiq's mission is to develop the lowest-power semiconductor solutions to enable intelligent devices everywhere by developing the lowest-power semiconductor solutions to drive a more energy-efficient, sustainable, and data-driven world. Ambiq has helped leading manufacturers worldwide develop products that last weeks on a single charge (rather than days), while delivering a maximum feature set in compact industrial designs. Ambiq's goal is to take Artificial Intelligence (AI) where it has never gone before in mobile and portable devices, using Ambiq's advanced ultra-low power system on chip (SoC) solutions. Ambiq has shipped more than 230 million units as of October 2023. For more information, visit

Our innovative and fast-moving teams of research, development, production, marketing, sales, and operations are spread across several continents, including the US (Austin and San Jose), Taiwan (Hsinchu), China (Shenzhen and Shanghai), Japan (Tokyo), and Singapore. We value continued technology innovation, fanatical attention to customer needs, collaborative decision-making, and enthusiasm for energy efficiency. We embrace candidates who also share these same values. The successful candidate must be self-motivated, creative, and comfortable learning and driving exciting new technologies. We encourage and nurture an environment for growth and opportunities to work on complex, engaging, and challenging projects that will create a lasting impact. Join us on our quest for 100 billion devices. The endpoint intelligence revolution starts here.

This role can be in San Diego, CA or Austin, Texas.

The expectation is that the candidate will be required to maintain a regular in-office presence five days per week.

Scope

At Ambiq, the Endpoint AI team enables state-of-the-art ML and DL model development across our hardware portfolio, using sophisticated model compression techniques to deploy previously impractical AI tasks to battery-powered environments. Our team of data scientists research neural architectures best suited to our customer’s needs, select those models most amenable to deployment on our platform, and train them carefully tuning for memory, compute, and energy constraint tradeoffs. Finally, we publish our findings to our Model Zoo and socialize them via conferences, workshops, and publications.

Beyond a healthy obsession with computational efficiency, the successful candidate will be comfortable with operating in a ‘version zero’ environment, marshaling internal, open source, and third-party resources to solve our customer’s problems quickly and elegantly.

• Identify, refine, and/or develop sophisticated ML and DL models for deployment on highly constrained environments.
• Train models using SOTA compression techniques to fit in specific memory, compute, and power envelopes, making trade-offs between compression and accuracy.
• Publish and maintain these models in a Model Zoo, including, documentation, and other assets needed by our customers to bootstrap their internal AI features.
• Socialize their achievements via conferences, meetups, workshops, and publications.

Required Skills/Abilities

• Experience with SOTA pruning, distillation, quantization approaches for CNNs and RNNs
• Experience with one or more of the following AI task domains: audio classification, speech, vision, and/or time series tasks, including domain-specific feature extraction related to those tasks
• Tensorflow (TFLite, TFLite for Microcontrollers, and/or PyTorch are a plus)
• Dataset creation and curation

Bonus Qualifications

• Past “TinyML” involvement or experience
• Experience developing and optimizing for TFLite for Microcontrollers
• Experience with embedded C/C++ environments
• Experience with compression of attention-based architectures
• Experience with model-to-binary compilers (IREE, MicroTVM, etc)
• Experience with ONNX, TOSA, Jax, LLVM, and/or MLIR
• Experience with optimizing for heterogenous AI compute (e.g. CPU+NPU+DSP)

Education and Experience

• A bachelor’s degree in computer science or a related field is required with at least 2 years of relevant experience. A master’s degree or PhD in related topics is highly desirable.

Job Description

JOB DESCRIPTION OVERVIEW 

The AI Development Manager and Solution Architect leads technical teams through the full software development lifecycle (SDLC), from initial solution concept through deployment and ongoing support, while also designing and overseeing the architecture of custom AI, analytics, and data science solutions. This individual manages multiple concurrent projects, ensuring that solutions align strategically with business objectives, regulatory compliance, budget, timeline, and quality standards. They supervise teams comprising developers, data scientists, architects, and analysts, guiding agile practices and fostering team productivity, collaboration, and professional growth. The role requires deep expertise in integrating cloud-based technologies (e.g., Microsoft Azure AI related products), large language models (LLMs), AI frameworks, and custom-developed components into secure, scalable, and compliant solutions tailored for life sciences and healthcare clients. The AI Development Manager and Solution Architect ensures the effective use of technology stacks and modern containerization practices while collaborating closely with technical teams, stakeholders, and clients. 

POSITION RESPONSIBILITIES 

• Evaluate, select, and integrate commercial and open-source technologies, including Microsoft Azure services, Python environments, and LLM APIs (OpenAI, Anthropic, Perplexity, Meta). 

• Lead design sessions and technical workshops with client stakeholders to define solution requirements and architecture. 

• Document detailed architectural diagrams, technical specifications, and implementation plans. 

• Provide hands-on code development and configuration of all architectural components, services, and products. 

• Lead software development initiatives from requirements and design through development, testing, deployment, and support. 

• Architect robust AI and data-driven solutions leveraging industry-leading technologies. 

• Manage technical teams, including developers, data scientists, architects, and analysts. 

• Apply agile methodologies (Scrum, Kanban) for effective project planning, execution, and team coordination. 

• Provide ongoing architectural oversight throughout the project lifecycle, ensuring compliance with regulations (e.g., 21 CFR Part 11, HIPAA). 

• Establish and promote architectural best practices, standards, and governance models for AI and analytics development and deployment. 

• Collaborate with clients to understand their business goals, AI maturity, and develop tailored strategies and solution roadmaps. 

• Interface effectively with executives and stakeholders to communicate clearly about project scopes, progress, resource needs, and risks. 

• Track, control, and report on project scopes, budgets, risks, schedules, and overall quality. 

• Support business development efforts, including RFP responses, solution proposals, technical consultations, and client presentations. 

• Continuously evaluate emerging AI trends, tools, and platforms to maintain solution effectiveness and innovation. 

• Drive internal development of reusable frameworks, components, and accelerators for future projects. 

• Contribute actively to the firm's AI strategy, thought leadership initiatives, and knowledge-sharing activities.  

• Mentor team members, encourage a culture of innovation, and uphold high standards for engineering excellence. 

• Provide technical mentorship to development team members as needed. 

REQUIRED QUALIFICATIONS, SKILLS, AND EXPERIENCE 

• Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical discipline; Master’s degree preferred. 

• 7+ years of experience in solution architecture and software development, including at least 2 years in a management or leadership role. 

• Prior experience in consulting, specifically in life sciences or healthcare environments; strongly preferred. 

• Proven track record of delivering complex projects in a client-facing or consulting capacity. 

• Demonstrated experience in regulatory compliance solutions and software used in life sciences (e.g., 21 CFR Part 11, HIPAA). 

• Advanced expertise in Microsoft’s technology stack (Azure, SharePoint, Co-Pilot), DevOps practices (Azure DevOps, GitHub Actions), and containerization (Docker, Kubernetes). 

• Familiarity with AI orchestration platforms such as Azure Machine Learning, Databricks, and MLflow. 

• Deep understanding of AI/ML algorithms, frameworks, lifecycle management (MLOps), and software engineering best practices. 

• Proven experience managing software solutions and deployments in Microsoft Azure environments. 

• Competence in security best practices (Azure Security Center, Azure Key Vault). 

• Strong leadership, team management, and mentoring skills with proven ability to grow and develop team capabilities. 

• Excellent interpersonal, communication, client engagement, and consultative problem-solving skills. 

• Certifications or professional training in cloud technologies (Azure), AI/ML, or agile methodologies strongly preferred. 

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Job Description

DCS is looking for a computer engineer with experience in the enhancement of image quality for computational and/or human analysis and inspection to include the application of deep learning and applied mathematics. This includes real-time signal processing and analysis, machine learning/generative AI software development, and signal analysis optimization and integration. 

Essential Job Functions:

Job responsibilities include design, development, and integration of algorithms, software, and hardware for data collection, processing, calibration, and test.

Programming and hardware interfacing at all levels is expected to be applied to real-time airborne, ship-based, and terrestrial systems. 

Required Skills:

Due to the sensitivity of customer related requirements, U.S. Citizenship is required.

Must have a Master's degree in related field and 4+ years of related experience.

Must be eligible to obtain a secret clearance.

Experience in image/signal processing, software programming, deep learning, generative AI and computer vision.

Must have experience with EO/IR systems.

Desired Skills:

Experience with hyperspectral data sets.