Jobs in the United States

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Added 2 mins ago
G
Engineer I - Forward Deployed Engineer
GSK
Cambridge, MA
- $95,700 to $159,500 USD / year
…disease, thereby protecting people and supporting healthcare…
Added 16 mins ago
IG
TS/SCI Full Stack Software Engineer
Insight Global
Beavercreek, OH
- From $68 USD / hour
Experience with Elasticsearch/OpenSearch or distributed search systems
Added 27 mins ago
UG
Lead AI/ML Engineer - Office Based - Eden Prairie, MN
UnitedHealth Group
Eden Prairie, MN
- $145,500 to $249,500 USD / year
As a Lead AI/ML Engineer on the Optum Technology team, you will drive the design, development, and deployment of enterprise-grade machine learning models and artificial intelligence…
Added 29 mins ago
Senior AI Engineer
P&G US Business Serv Co
United States
The Senior AI Engineer is part of our Data, Analytics, and AI job family. This job family is responsible for transforming large complex data sets into pragmatic, actionable insights.…
Added 31 mins ago
Hybrid South Carolina Cloud Engineer – Managed IT Services (5117)
SMX
Columbia, SC · Hollywood, MD
We are looking for a skilled Cloud Engineer to join our State and Local Platforms and Data Managed Services team. As a core member of our operations group, you will work across multiple…
Added 32 mins ago
Staff Machine Learning Engineer, Model Platform
Wonder Group, INC
NY
We're hiring a Staff Machine Learning Engineer with deep Java backend experience to set the technical direction for how our models and services work together. You'll define how every team…
Added 40 mins ago
Product Manager / Engineer -- TS/SCI
Parsons Technical Services, Inc.
VA
Serve as the primary Product Manager & Systems Engineer for the Joint Staff CDAO development POD, owning the end-to-end implementation and successful delivery of data, analytics, and…
Added 42 mins 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 44 mins ago
Senior Software Development Engineer, EC2 Trainium AI Infra
Amazon.com Services LLC
Seattle, WA
The Software Development Engineer will lead the team in technical strategy, design, build, and operation of infrastructure services including provisioning and availability of AWS…
Added 44 mins ago
Software Development Engineer
Amazon.com Services LLC
Seattle, WA
You’ll be part of the core engineering team responsible for the systems that power ad delivery, performance optimization, and reporting across devices. These systems process hundreds of…
Added 44 mins ago
Network Security Engineer, ADC Security
Amazon.com Services LLC
Herndon, VA
A Security Engineer in Amazon will be strong in multiple security domains and sought out for advice on technical issues. Efficient time management skills are required along with the ability…
Added 48 mins ago
IG
REMOTE ML Ops Engineer
Insight Global
Remote, United States
- From $71 USD / hour
…within their environment and are seeking an experienced MLOps Engineer to help operationalize, scale, and support AI solutions in…
Added 51 mins ago
Distinguished Platform Engineer
ServiceNow
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 53 mins ago
Applied AI Architect
Databricks
Remote, United States
…orchestration, guardrails, AI evaluation, and observability…
Added 1 hour ago
Process Integration and Technology Development Engineer
onsemi
Gresham, OR
The Process Integration and Technology Development Engineer defines, develops, and implements silicon process technology for the manufacture of integrated silicon devices. The successful…
Added 1 hour ago
Sr. System Development Engineer, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Bellevue, WA
…infrastructure support for integrations and multiple SAP S/4HANA systems, develop infrastructure as code (IaC) to provision, configure, and maintain secure, scalable, and reliable cloud…
Added 1 hour ago
K
Data Engineer
Kforce
Irving, TX
- $52 to $57 USD / hour
Kforce has a client in Irving, TX that is seeking a Data Engineer.
Added 1 hour ago
Staff Machine Learning Engineer
Indeed
United States
As a Staff Machine Learning Engineer in our Staffing Technology Marketplace group, you'll own the source data, the models and the business impact behind Indeed's AI-first staffing platform,…
Added 1 hour ago
Senior Data Engineer (Databricks) - Contractor - US
Object Edge
Walnut Creek, CA
As a Senior Engineer in the Databricks practice, you will bring a curious mindset and a passion for
Added 1 hour ago
Senior Architect Data Engineer (Databricks) - Contractor - US
Object Edge
Walnut Creek, CA
Expertise in NoSQL Databases, Container Management Systems, and AI/ML tools.
Added 1 hour ago
Senior Backend Software Engineer- (AI Platform)
Databricks
Mountain View, CA · San Francisco, CA
Experience with distributed systems, scalable APIs, or cloud-native infrastructure
Added 1 hour 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 1 hour ago
Software Engineer (AI Agents)
Fluent, LLC
Remote, United States
Fluent is hiring its first dedicated AI Engineer. Over the past year, AI at Fluent has moved from pilots to production: a service desk agent that closes tickets without a human touch, a…
Added 1 hour ago
Software Engineer (AI Agents)
Fluent, LLC
New York, NY
Fluent is hiring its first dedicated AI Engineer. Over the past year, AI at Fluent has moved from pilots to production: a service desk agent that closes tickets without a human touch, a…
Added 1 hour ago
Manager, Engineering
Priority Technology Holdings, LLC
Remote, United States
…the technical bar in any conversation - and the team's senior engineer would say so. AI-native practice is a team standard with expectations, not an encouraged…

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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