Jobs in the United States

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Added 6 mins ago
Cloud Solutions Architect
Booz Allen Hamilton_United States
Fayetteville, NC
As an experienced engineer, you know how to design, develop, and deliver production-grade agentic AI systems that demonstrate the practical value of generative AI, large language models…
Added 20 mins ago
Lead Software Engineer - Agentic AI
JPMC page
Jersey City, NJ
As a Lead Software Engineer at JPMorganChase with in Enterprise Technology Cloud Foundational Services, you are an integral part of an agile team that works to enhance, build, and deliver…
Added 1 hour ago
F
Platform Security Engineer
Fly.io
Remote, United States
- $180,000 to $225,000 USD / year
…next, and between any workload and our own control plane, is a stack of things we build and run: the VMMs and their jailers, seccomp filters, host networking rules, the identity each host…
Added 1 hour ago
HA
Software QA Manager
Health Advocate Solutions, Inc.
Remote, United States
- Up to $140,000 USD / year
…discussing product risks with business leaders, coaching a QA engineer, reviewing automation code, and investigating an issue across the full application…
Added 1 hour ago
Senior Full Stack AI Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems.
Added 1 hour ago
AP
Senior Software Engineer - Lead Platform
A Place for Mom
Remote, United States
- $160,000 to $190,000 USD / year
We are seeking a proactive and highly skilled Senior Software Engineer to join our high-impact Lead Platform engineering team. This team designs and scales the mission-critical systems…
Added 2 hours 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 3 hours ago
AVP, API Engineer
Synchrony
Alpharetta, GA
The Assistant Vice President, Principal Software Engineer craves working in a hands-on system design and architecture environment and leads by example to make sure time sensitive projects…
Added 4 hours ago
MI
Senior Software Engineer
Maxar Intelligence I
Westminster, CO
- $128,000 to $170,000 USD / year
Full-stack development experiencewithmodern front-endJavaScriptbasedframeworks, particularlyReact,Next,Leaflet,Map Libre, and Redux.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Dallas, TX
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
West Palm Beach, FL
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Fort Lauderdale, FL
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Chicago, IL
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Orlando, FL
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Tallahassee, FL
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Irving, TX
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Richmond, VA
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Tampa, FL
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Houston, TX
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Port Charlotte, FL
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Atlanta, GA
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Boston, MA
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
Jersey City, NJ
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
New York, NY
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.
Added 4 hours ago
Staff Software Engineer ID99041
AgileEngine
San Francisco, CA
- Lead technical design for major features while writing production full-stack code, including the hardest and most ambiguous problems.

Senior Full Stack AI Engineer (US Citizen)

Remote, United States

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Job details

Experience: 6+ years of significantly demonstrated leadership responsibility experience.
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, leading the design, development, and delivery of large-scale mission-critical AI systems.
Serve as a senior technical lead, defining AI and application architecture for the platform in partnership with and under the direction of the Director.
Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability.
Lead architecture for distributed, cloud-native, and hybrid AI systems.
Define and enforce reference architectures, standards, and reusable frameworks.
Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability.
Lead design, development, and deployment of advanced AI solutions, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks.
Architect and implement scalable AI applications and services using Next.js, cloud-native APIs, and managed AI services across AWS, Azure, and GCP.
Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers.
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.
Oversee the full AI solution lifecycle: data pipelines, evaluation, deployment, and monitoring.
Drive LLM performance and cost optimization (e.g., caching, prompt and context optimization, model selection).
Establish robust MLOps practices leveraging GitHub-based automation, CI/CD 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 refactoring and re-platforming efforts).
Define repeatable modernization frameworks and accelerators.
Oversee DevSecOps pipelines and CI/CD automation (e.g., GitHub Actions), 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 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).

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 AI and LLM systems built on a modern cloud stack (Next.js, Terraform, GitHub, AWS, Azure, and GCP), 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 full-stack development experience, including designing production-grade AI systems, data pipelines, and microservices-based architectures.
6+ years of significantly demonstrated leadership responsibility experience.
Expert-level proficiency across the platform stack (Next.js, Terraform, GitHub, AWS, Azure, and GCP), including building large-scale AI applications, APIs, and data pipelines.
Full-stack engineering skills, including modern front-end frameworks (e.g., Next.js/React), back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes).
Deep expertise in LLMs and generative AI, including transformer-based model architectures and their practical application.
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.
Expertise designing AI systems in cloud-native, distributed environments across AWS, Azure, and GCP.
Proficiency with infrastructure as code, including Terraform, for provisioning and managing cloud environments.
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.
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.
Demonstrated ability to translate AI research into production systems.
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.
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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