Jobs in the United States

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Added 4 mins ago
RGM Product Manager
The Coca-Cola Company
Atlanta, GA
Added 7 mins ago
SM
Software & Business Intelligence Engineer
Santa Monica Seafood Company
Los Angeles, CA, CA
- $150,000 to $175,000 USD / year
Santa Monica Seafood is seeking a seasoned Software and Business Intelligence Engineer with a strong blend of software development/engineering, report writing, and business analysis…
Added 8 mins ago
Marketing Engineer (AI Agents)
Cresta
Remote, United States
As Cresta’s first Marketing Engineer (AI Agents), you'll own the systems behind how Cresta shows up on the internet. In this role, you will own the technical decisions behind cresta.com and…
Added 8 mins ago
AI Growth Engineer
Cresta
Remote, United States
As Cresta’s first AI Growth Engineer, you'll own the systems behind how Cresta shows up on the internet. In this role, you will own the technical decisions behind cresta.com and help shape…
Added 10 mins ago
Principal Application Engineer- Missile Defense
Synopsys
USA Off-Site, CO
Added 10 mins ago
Applications Engineering, Architect- Missile Defense
Synopsys
Exton, PA
…and then turn around and debug a MATLAB script with a junior…
Added 12 mins ago
BD
Senior Staff ML Engineer, Spot
Boston Dynamics, Inc.
United States
- $175,000 to $215,000 USD / year
Added 23 mins ago
Data and ML Engineer
Booz Allen Hamilton_United States
McLean, VA
…unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data…
Added 24 mins ago
C
Software Engineer Embedded Systems I (Full Time) - United States
Cisco
San Jose, CA
- Full-time
You are a passionate engineer skilled in low-level programming, networking protocols, and hardware-software integration, with strong communication and collaboration abilities. You thrive in…
Added 29 mins ago
Lead Software Engineer - AI
Humana Inc.
Charlotte, NC · Louisville, KY · Work at Home, TX · Tampa, FL · Dallas, TX · Fort Lauderdale, FL · Washington, DC · Chicago, IL · Atlanta, GA · Nashville, TN · Boston, MA
The Lead Software Engineer codes software applications based on business requirements. The Lead Software Engineer works on problems of diverse scope and complexity ranging from moderate to…
Added 29 mins ago
Forward Deployed Engineer, Senior - Data & Analytics
Humana Inc.
Louisville, KY · Charlotte, NC · Arlington, VA · Tampa, FL · Dallas, TX · Fort Lauderdale, FL · Chicago, IL · Atlanta, GA · NY · Nashville, TN · Boston, MA
The Senior Data Engineer Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at…
Added 30 mins ago
V
Senior QA/SDET
Vouched
Remote, United States
- $180,000 to $210,000 USD / year
Added 32 mins ago
PI
Sr Software Engineer
PayPal, Inc.
San Jose, CA
- $143,500 to $212,850 USD / year
Added 33 mins ago
UG
Senior Principal AI/ML Product Engineer- Full Stack
UnitedHealth Group
Boston, MA
- $184,600 to $316,500 USD / year
The Sr Principal AI/ML Engineer, AI & Product Office owns the hardest technical bets and the foundation the team builds on, and builds and deploys the AI-enabled products that help the…
Added 35 mins ago
S
GPU Kernel Engineer
Sciforium
San Francisco, CA
- $190,000 to $250,000 USD / year
We are seeking a highly skilled GPU Kernel Engineer who is passionate about pushing the limits of performance on modern accelerators. In this role, you will design and optimize custom GPU…
Added 35 mins ago
UG
Architect - Remote
UnitedHealth Group
Fort Washington, PA
- $112,700 to $193,200 USD / year
…involved across many aspects of architecture, design, build, engineer and implement technical solutions and capabilities providing technical leadership. Responsible for communicating…
Added 35 mins ago
UG
Associate Software Engineer
UnitedHealth Group
Minneapolis, MN
- $60,200 to $107,400 USD / year
Bachelor's degree or 4+ years of experience as a Software Engineer
Added 35 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 35 mins ago
UG
Oracle Exadata DBA - Remote
UnitedHealth Group
New York, NY
- $112,700 to $193,200 USD / year
Join the NY APD and Virginia EDW Analytics Operations and Maintenance team within Optum Technology as a Principal Data Engineer. In this role, you will lead the architecture, design, and…
Added 38 mins ago
Machine Learning Engineer, AI/ML Model Quality
Apple
Austin, TX · Cupertino, CA · New York City, NY · San Diego, CA
…across Wallet, Payments, and Commerce. As a Machine Learning Engineer, AI/ML Model Quality, you will build and maintain intelligent systems, validation frameworks, synthetic data generation…
Added 38 mins ago
Principal Platform Engineer - People Systems
Apple
Sunnyvale, CA
When you engineer for People Systems, your users are Apple’s most vital asset: its People. We are seeking a visionary Application Architect to shape the technical strategy for People…
Added 47 mins ago
Software Development Engineer III, AWS AI/ML Servers
Amazon.com Services LLC
Seattle, WA
We are seeking a Software Development Engineer to design and build the software that operates our accelerated compute fleet: fleet-management services, orchestration and remediation control…
Added 48 mins ago
Senior Data Engineer
CVS Shared Services Resources LLC
Remote, United States
The Senior Data Engineer will design, build, and support data engineering solutions on Google Cloud Platform, with a focus on scalable data pipelines, database integration, and ETL…
Added 48 mins ago
Staff Software Architect
CVS Shared Services Resources LLC
Remote, United States
Google Cloud Professional Architect, GCP Data Engineer, or Azure Solutions Architect certification
Added 49 mins ago
A
Sr DevOps Engineer
ArtosAI
San Francisco, CA
- $166,500 to $231,000 USD / year
We're looking for a Senior DevOps Engineer to design, build, and maintain the infrastructure that powers our platform. You'll play a critical role in scaling our AWS infrastructure,…

Closed listing

Senior Full Stack AI Engineer (US Citizen)

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 6+ years of significantly demonstrated leadership responsibility experience.
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

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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, 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, 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 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.

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. $159k -$201k.

Salary Description

$159k - $201k

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