Jobs in the United States

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Added 2 mins ago
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Sr. Data Engineer
Robert Half
Minneapolis, MN
- $115,000 to $144,000 USD / year
We are looking for a Senior Data Engineer to strengthen our data foundation and help deliver reliable, scalable information solutions across Minneapolis, Minnesota. In this role, you will…
Added 5 mins ago
Staff Process Development Engineer
Dexcom
San Diego, CA · San Diego
· Access to career development through in-house learning programs and/or qualified tuition reimbursement.
Added 10 mins ago
Senior Software Engineer
Grainger Businesses
CHICAGO, IL
…Grainger products at scale. This team partners closely with machine learning engineers and data specialists to build systems that support critical business workflows and customer…
Added 18 mins ago
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Forward Deployed Engineer
Generalist
San Mateo, CA
- $150,000 to $200,000 USD / year
- Learn unfamiliar technical domains quickly and are curious about machine learning, robotics, and the gap between a successful demonstration and reliable operation.
Added 18 mins ago
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Forward Deployed Engineer
Generalist
Somerville, MA
- $150,000 to $200,000 USD / year
- Learn unfamiliar technical domains quickly and are curious about machine learning, robotics, and the gap between a successful demonstration and reliable operation.
Added 22 mins ago
Quality Engineer, AI & Test Automation
Baylor Scott & White Health
Montpelier, VT
· The Quality Engineer, AI & Test Automation helps modernize BSWH’s quality approach by moving beyond traditional manual testing toward automation-first, engineering-integrated, and…
Added 24 mins ago
Software Engineer, Triage Services
Apple
Cupertino, CA
MS or PhD in Computer Science, Machine Learning, or a related field.
Added 28 mins ago
I
Sr. IT Support Engineer
iSoftStone
Bellevue, WA
- $48 to $60 USD / hour
iSoftStone is a global IT service and consulting company that creates value and drives success through technology solutions, service excellence, and digital innovation. We specialize in web…
Added 32 mins ago
GI
Data Engineer/Analyst
Guidehouse Inc.
VA
- $98,000 to $163,000 USD / year
…to advance American diplomacy, strengthen global operations, and improve mission and management decisions. This high-performing team partners with Department bureaus, offices, and overseas…
Added 37 mins ago
Data Engineer
Booz Allen Hamilton_United States
Tampa, FL
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data…
Added 37 mins ago
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Principal Research Scientist I
AbbVie
North Chicago, IL
- $124,500 to $236,500 USD / year
For the Principal Research Scientist I position, we are seeking a highly motivated and experienced data scientist to provide scientific and technical leadership for analytical data science,…
Added 37 mins ago
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Data Engineer (Azure)
Kforce
New York, NY
- $45 to $50 USD / hour
Develop solutions combining data blending, profiling, mining, statistical analysis, and machine learning, to better define and curate models, test hypothesis, and deliver key insights
Added 38 mins ago
Principal Software Development Engineer (AI Innovation)
CVS Health
Richardson, TX
Proficiency in AI/ML, with hands-on experience in building, integrating, and scaling machine learning models and intelligent systems using state-of-the-art frameworks.
Added 38 mins ago
Software Engineer II - AI Platforms
US: Mastercard International Incor
Atlanta, GA
Mastercard is seeking a Software Engineer II to design, build, and enhance production-grade AI platform capabilities that enable AI-powered products and agentic experiences across B&MI.
Added 38 mins ago
Software Engineer II - AI Platforms
US: Mastercard International Incor
Atlanta, GA
Mastercard is seeking a Software Engineer II to design, build, and enhance production-grade AI platform capabilities that enable AI-powered products and agentic experiences across B&MI.
Added 38 mins ago
Senior Software Engineer - AI Platforms
US: Mastercard International Incor
Atlanta, GA
Mastercard is seeking a Senior Software Engineer to design and build production-grade AI platform capabilities that enable AI-powered products and agentic experiences across B&MI.
Added 40 mins ago
Machine Learning Engineer
ADT
Irving, TX · Boca Raton, FL
The Machine Learning Engineer will be responsible for designing, building, and deploying production-grade machine learning models and AI systems within ADT's Data & AI organization. This…
Added 44 mins ago
Distinguished Engineer, Trading
LPL Financial Corp
United States
…visionary responsible for driving the adoption, governance, and scale of artificial intelligence across LPL's trading, advisory, and wealth management platforms. You will partner with…
Added 57 mins ago
Senior Sales Systems Engineer (South Atlantic)
Veeam Software
Miami, FL
Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to articulate how trusted, resilient data underpins AI initiatives.
Added 59 mins ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs.
Added 59 mins ago
AI DevOps Engineer
PingWind
Rockville, MD
PingWind is seeking an AI DevOps Engineer with a strong emphasis on Artificial Intelligence and Machine Learning to join the PingWind team supporting Agency for Healthcare Research and…
Added 1 hour ago
Mission Operations Engineer, USMC (Active Clearance)
Anduril Industries
Washington, DC · Costa Mesa, CA
Technical Aptitude and Intellectual Curiosity. We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed…
Added 1 hour ago
Mission Operations Engineer, USMC (Active Clearance)
Anduril Industries
Costa Mesa, CA · Washington, DC
Technical Aptitude and Intellectual Curiosity. We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed…
Added 1 hour ago
Senior Staff Software Engineer_Voice AI Agent Prompting
ServiceNow
Santa Clara, CA
The Forward Deployed Engineer, Voice AI Agent Engineering designs, builds, ships, and operates voice AI agents whose core behavior is model-driven rather than explicitly authored -…
Added 1 hour ago
Principal Engineer, Clinical Data and AI Platforms
CVS Health
Work at Home, CT · Work At Home, CA · Work At Home, FL · Work At Home, IL · Work At Home, MA · Work At Home, NJ · Work At Home, NY · Work At Home, PA · Work At Home, RI · Work At Home, TN · Work At Home, TX · Work At Home, VA · Work At Home, WA
Production experience with machine learning or large language model systems, including retrieval, extraction, evaluation and serving at scale.

Senior AI Software Developer & Engineer (US Citizen)

Remote, United States

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Job details

Experience: 8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems).
Posting language: English
Posted: Nov 4, 2026

Original job description

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Job Type

Full-time

Description

NOTE: This opportunity is full-time employment position only (no 1099 or C2C engagements, or third parties or staffing agencies, please). The candidate MUST be a U.S. Citizen). This is a remote opportunity; candidate must be based in the U.S.; preference given to candidates in the Washington DC, Maryland, Virginia (DMV) area; ET zone work schedule.

Daily Responsibilities

Serve as a senior, hands-on full-stack AI engineer and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting federal programs.
Serve as the primary technical authority, defining AI and application architecture across multiple programs.
Lead architecture for distributed, cloud-native, and hybrid AI systems.
Define and enforce reference architectures, standards, and reusable frameworks.
Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability.
Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability.
Advise senior federal stakeholders (SES-level and above) on AI adoption, modernization, and risk management.
Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers.
Lead design, development, and deployment of advanced AI solutions using Python as the primary development language, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks.
Architect and implement scalable ML systems and services built on Python-based frameworks and APIs.
Integrate AI and LLM capabilities into existing enterprise applications and legacy platforms (e.g., content management, case management, and records systems) via APIs, middleware, and event-driven patterns.
Define and implement distributed training strategies (GPU/TPU clusters, parallelization, optimization).
Oversee full ML lifecycle in partnership with the senior data scientist: data pipelines, feature engineering, training, evaluation, deployment, and monitoring.
Drive model optimization techniques (quantization, distillation, caching) to improve performance and cost.
Establish robust MLOps practices leveraging Python-driven automation, pipelines, and tooling.
Stand up the enterprise CI/CD-to-AI/MLOps pipeline, beginning with time-boxed proofs of concept and MVP implementations that mature into production systems.
Serve as SME in federal AI policy (e.g., NIST AI RMF, OMB M-25-21 and M-25-22, Executive Order 14179).
Define and operationalize Responsible AI frameworks, including model validation and evaluation, bias mitigation and fairness, and explainability, auditability, and safety.
Ensure compliance with FISMA, FedRAMP, NIST 800-53, privacy, and Section 508 requirements.
Lead large-scale modernization initiatives (e.g., legacy-to-cloud, microservices transformation, including Python-based refactoring and re-platforming efforts).
Define repeatable modernization frameworks and accelerators.
Oversee DevSecOps pipelines, CI/CD automation, zero-trust architectures, and secure software supply chain practices.
Ensure delivery of resilient, high-availability systems in regulated federal environments.
Lead multiple concurrent engineering efforts across integrated teams.
Provide technical leadership to architects, engineers, and DevSecOps specialists, including establishing Python coding standards and engineering best practices.
Mentor senior engineers and technical leaders; elevate engineering excellence and code quality.
Support technical strategy in proposals, captures, and client engagements.
Contribute to thought leadership (whitepapers, architecture patterns, platform strategy).
Executive communication skills with experience influencing senior leaders.

Requirements

Must of a U.S. Citizen.as mandated by our government client.
Must be able to complete/pass/hold at a minimum a Public Trust Investigation / background check. An active clearance (e.g. Public Trust, Secret, or higher) is preferred.
Must be based / reside in the U.S.
12+ years of software engineering experience combining senior technical leadership, hands-on expertise in Python-based AI/ML systems (including large language models), and ownership of enterprise architecture, governance, and innovation.
8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems).
Expert-level Python development experience, including designing production-grade ML systems, data pipelines, and microservices-based architectures.
Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX) and distributed training (DeepSpeed, FSDP, Horovod).
Full-stack engineering skills, including front-end frameworks, back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes).
Deep experience with cloud platforms (Azure, AWS, GCP), including FedRAMP environments and designing AI systems in cloud-native, distributed environments.
Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs.
Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), embeddings, vector databases, and prompt engineering.
Experience with AI platforms and architectures (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI, RAG, agents).
Proven success delivering enterprise-scale systems and modernization programs.
Strong background in microservices, APIs, distributed systems, and DevSecOps practices.
Experience managing GPU-based infrastructure or high-performance ML environments.
Demonstrated ability to translate AI research into production system.
Proven ability to integrate AI capabilities into existing and legacy enterprise systems (e.g., legacy CMS or COTS platforms) using APIs, middleware, connectors, and event-driven architectures.
Strong understanding of large-scale data systems and ML evaluation methodologies.
Experience working with sensitive data, including PII safeguards such as anonymization, masking, and data loss prevention.
Experience with enterprise integration technologies, including REST/SOAP services, message queues, ETL pipelines, and SQL/NoSQL databases.
Proficiency with managed generative AI services (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI) and integrating frontier models such as GPT, Claude, and Gemini.
Demonstrated ability to own solutions end to end - from discovery and prototyping through production deployment, integration, and ongoing support.
Ability to balance strategic vision with deep hands-on technical execution.
Excellent analytical skills, attention to detail, and strong problem-solving abilities.
Excellent communication and collaboration skills to communicate complex analytical insights to executive and non-technical stakeholders. Ability to translate ambiguous business questions into analytical solutions.
Experience with federal civilian agencies preferred.
BS or MS degree (preferred) in engineering, data science, computer science, statistics or related field.

Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. $155k -$189k.

Salary Description

$155k - $189k

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More about this job

Skills

Regulatory compliance
Decision making
Risk management
Python
ML
CI/CD
Microservices
Supply chain management
Leadership
Communication skills
PyTorch
TensorFlow
API development
Kubernetes
Microsoft Azure
AWS
Google Cloud
Machine learning
Deep learning
LangChain
Research
CMS
Loss prevention
Data engineering
SQL
NoSQL
Analytical skills
Attention to detail
Problem solving
Collaboration
Computer science
Statistics

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