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Added just now
Software Engineer II
Humata Health, Inc
Remote, United States
…payers. With our proprietary artificial intelligence (AI) and automation technology, Humata Health delivers quality prior authorization submissions to help get patients the care they…
Added just now
Senior Software Engineer
Humata Health, Inc
Remote, United States
…payers. With our proprietary artificial intelligence (AI) and automation technology, Humata Health delivers quality prior authorization submissions to help get patients the care they…
Added 1 min ago
Vice President – Full Java Stack Engineer
ewminds consulting Services
Pittsburgh, PA
We are seeking a Vice President – Full Stack Engineer to join a mission-critical engineering team supporting a high-performance, regulated enterprise platform. This is a hands-on…
Added 2 mins ago
AWS Engineer
MANTECH
United States
MANTECH seeks a highly technical AWS Engineer to join our team in Herndon, VA. Join a dedicated team of cybersecurity experts focused on enhancing the customer’s cloud incident response…
Added 2 mins ago
OA
Senior Infrastructure Software Engineer
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- $200,000 to $240,000 USD / year
…ship mission-critical systems. As an infrastructure software engineer, you'll design, build, the internal platforms, libraries, and tooling that enable our engineering organization to move…
Added 3 mins ago
Cloud Engineer I
The University Of Texas At Dallas
TX
The Enterprise Cloud & Infrastructure Services team is seeking a motivated Cloud Engineer I to help deploy, secure, and operate production workloads across AWS, Microsoft Azure, and Google…
Added 4 mins ago
Process Design Engineer, Quick Commerce Design Engineering
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Bellevue, WA
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Added 4 mins ago
Sr. System Development Engineer, Amazon Leo
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…Bedrock, SageMaker, Textract, and Comprehend for intelligent automation (document processing, conversational interfaces,…
Added 4 mins ago
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Lead Principal Application Software Engineer
Oracle
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- $104,600 to $264,100 USD / year
…organization, is seeking a Lead Principal Application Software Engineer (IC5) to lead engineering practices and architecture. Our team modernizes corporate systems, processes, and data,…
Added 4 mins ago
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Principal Site Reliability Engineer - Oracle Health (US REMOTE)
Oracle
TX · Philadelphia, PA · Atlanta, GA · Miami, FL · TN · IL · Portland, OR
- $84,900 to $209,500 USD / year
Principal Site Reliability Engineer – Oracle Health US
Added 5 mins ago
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Data Engineer
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Irving, TX
- $52 to $57 USD / hour
Kforce has a client in Irving, TX that is seeking a Data Engineer.
Added 7 mins ago
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Added 9 mins ago
Lead Data Engineer
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Added 10 mins ago
Lead Software Engineer - Enterprise AI Services & Agents
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As a Lead Software Engineer on Wellmark’s Enterprise AI Services & Agents team, you will lead the design and delivery of reusable enterprise assistants, agents, AI services, skills, and…
Added 11 mins ago
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Founding Engineer
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New York, NY
- $165,000 to $185,000 USD / year
- Work with clients and domain experts to identify automation opportunities and deliver features from discovery through production.
Added 11 mins ago
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Technical Product Manager
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- $175,000 to $275,000 USD / year
Join an internal AI team at a Series B fintech company focused on accounting automation. You will help shape how AI agents support company-wide workflows, working closely with technical…
Added 12 mins ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
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…
Added 13 mins ago
Systems Engineer - TS/SCI w/Polygraph
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Added 14 mins ago
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Added 14 mins ago
Engineer
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We are seeking a Senior AI Engineer to design, build, and operate AI and agentic solutions supporting Canadian Banking, International Banking, Global Banking and Markets (GBM), Global…
Added 15 mins ago
Manager, Engineering
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…QA engineers drive regression and risk, and an SDET owns the automation platform that checks our flows at scale. AI-assisted development is part of how we build. We share our own AI skills…
Added 17 mins ago
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- $165,000 to $219,000 USD / year
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Added 20 mins ago
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Added 21 mins ago
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Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
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Added 21 mins ago
Lead Data Engineer
projects/helpful-passage-853/companies/9810ab3a-d8cd-4ba4-9ee5-ca421241fe3c
San Francisco, CA · Seattle, WA
…management (CLM). What you'll do As the Lead Assignment Engine Data Engineer, you will lead the data engineering design for an explainable, configurable engine that converts normalized…

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 6, 2026

Original job description

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Job Type

Full-time

Description

NOTE: This is a full-time employment opportunity and open to W2, 1099, or C2C (no third parties or staffing agencies, please). The candidate MUST be a U.S. Citizen (preferred) or U.S, Permanent Resident (GC). 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 (preferred) or U.S. Permanent Resident (GC), 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, preference given to candidates in the DMV area.
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.

This role is open to W2 or 1099/C2C engagements. Compensation/rate 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 -$175k.

Salary Description

$155k - $175k

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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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