Jobs in the United States

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Added just now
Delinea/PAM Engineer - Active TS/SCI
GuidePoint Security
VA
GuidePoint Security is looking for a skilled Delinea/PAM Engineer that is responsible for maintaining the application layer of the product suites.
Added just now
Network Engineer Principal
GD Information Technology, Inc.
United States
Added just now
Systems Engineer - TS/SCI w/Polygraph
GD Information Technology, Inc.
United States
At GDIT, people are our differentiator. As a Systems Engineer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a strong Systems Engineer joining our team to…
Added 1 min ago
Lab Technician
Mariana Minerals
Moab, UT
Engineer Out Requirements, then Automate. We simplify, optimize, and then automate for scale.
Added 2 mins ago
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Quality Engineer II
Arlon Graphics LLC
Placentia, CA
- $85,000 to $100,000 USD / year
The Quality Engineer II is responsible for supporting and improving the Quality Management System (QMS), ensuring compliance with applicable ISO standards, and independently leading complex…
Added 3 mins ago
Staff Robotics Software Engineer, CUAS, Omen
Anduril Industries
Costa Mesa, CA
Small drones are hard to hit. Hitting them from a moving aircraft is harder. We need a Staff Software Engineer to own software integration of Omen’s airborne counter-UAS effector payload…
Added 3 mins ago
Staff Electrical Integration Engineer, Air Dominance and Strike
Anduril Industries
Costa Mesa, CA
We are looking for an Staff Electrical Integration Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will work closely with avionics, systems, manufacturing,…
Added 5 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 6 mins ago
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Staff Backend Engineer, Internal
Horizon3
Remote, United States
- $229,000 to $270,000 USD / year
As a Staff Backend Engineer on the Internal Attack team, you'll set technical direction for the backend systems that power NodeZero's internal pentesting capabilities, from architecture and…
Added 6 mins ago
Data Engineer - Snowflake & DBT
Kapitus
Arlington, VA
…Senior-level candidates (8+ years) are considered for Senior Data Engineer and should demonstrate workstream-level technical leadership, design ownership, code-review responsibility, and…
Added 6 mins ago
Data Engineer - Snowflake & DBT
Kapitus
Arlington, VA
…Senior-level candidates (8+ years) are considered for Senior Data Engineer and should demonstrate workstream-level technical leadership, design ownership, code-review responsibility, and…
Added 6 mins ago
Data Engineer - Snowflake & DBT
Kapitus
Arlington, VA
…Senior-level candidates (8+ years) are considered for Senior Data Engineer and should demonstrate workstream-level technical leadership, design ownership, code-review responsibility, and…
Added 7 mins ago
Information Security and Cloud Architecture Lead
Astellas
Northbrook, IL
…security architects and engineers to architect, design and engineer the right security solutions for Astellas. The role's primary accountability will remain Information Security…
Added 7 mins ago
Senior Contract Manager, Enterprise Accounts - Minneapolis, MN
Medtronic
North Haven, CT
Added 7 mins ago
Senior Supplier Quality Engineer
Medtronic
North Haven, CT
The Senior Supplier Quality Engineer will support the Global Supplier Quality Supplier Change Implementation function, with a focus on supplier transfers, component qualification, supplier…
Added 7 mins ago
Senior Security GRC Engineer, AI & Automation
American Express Global Business Travel
Hartford, CT
AmexGBT’s Security GRC team is looking for a talented Senior Security GRC Engineer to design, build, and scale automation and AI-driven solutions that modernize our governance, risk, and…
Added 7 mins ago
Senior Software Engineer (Institutional, Financing)
Coinbase
Hartford, CT
As a Senior Software Engineer on the Financing Engineering team within the Institutional group, you'll design, build, and scale the systems that safely manage billions of dollars in loans…
Added 7 mins ago
Head of Forward Deployed Engineering
Bausch + Lomb
Hartford, CT
Bausch + Lomb is seeking a Head of Forward Deployed Engineer (FDE) to turn AI from pilots into production capability across B+L. This is a hands-on builder role embedded in manufacturing,…
Added 7 mins ago
Network Operations Engineer
Meta
Hartford, CT
Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center…
Added 7 mins ago
Lead Engineer
PwC
Stamford, CT · Hartford, CT
As a Lead Engineer you will guide the design, build, testing, and modernization of custom applications across cloud-native and on-premise environments, using modern engineering approaches,…
Added 7 mins ago
Mechanical Engineer, Data Center Operations Engineering
Meta
Hartford, CT
Meta is seeking a Mechanical Engineer to join our Data Center Operations Engineering team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently…
Added 7 mins ago
Senior Engineer
PwC
Stamford, CT · Hartford, CT
As a Senior Engineer you will help design, build, and test custom applications within our Advisory practice, bringing together software engineering, cloud-based solution delivery, and…
Added 7 mins ago
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Platform Security Engineer
Fly.io
Remote, United States
- $180,000 to $225,000 USD / year
You're comfortable being the technical authority on low-level work without a more senior security engineer above you.
Added 7 mins ago
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AI-Native Detection and Triage Engineer
Fly.io
Remote, United States
- $180,000 to $225,000 USD / year
…breaking our own hypervisor and kernel stack. A Platform Security Engineer, hiring in parallel with this role, will own isolation on the hosts. The seat we are adding will own the signal:…
Added 7 mins ago
Director - Customer Response Engineering
Trellix
Hartford, CT
Partner with Technical Support, Customer Success, Product Management, and Engineering so issues reach the right engineer fast and customer feedback reaches the roadmap.

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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