Jobs in the United States

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Added 6 mins ago
SentinelOne Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a SentinelOne Engineer based in the United States.
Added 6 mins ago
J
Senior Data Engineer
Jobgether
Remote, United States
- $130,000 to $200,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in the United States.
Added 6 mins ago
Cloud Security Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Security Engineer based in the United States.
Added 8 mins ago
Consultant, Data Engineer - Reference Data Management
AB3 Nationwide Life and Annuity Insurance Co
OH · AZ
…the platform’s internal tables - for example, supporting an application that retrieves current, approved fund…
Added 15 mins ago
T
Elasticsearch Engineer *No C2C*
TEKsystems
Lincoln, MA
- $120,000 to $250,000 USD / year
Experience with Elastic AI Assistant or integration of LLMs into Elastic Security workflows such as natural language querying and alert triage assistance
Added 15 mins ago
Manufacturing Engineer III
General Atomics
Acton, MA
We have an exciting opportunity for an Optical Payload Manufacturing Engineer to join our team in Acton, MA!
Added 15 mins ago
Electrical Engineer, RDPI
Amazon
Westboro, MA
As an Electrical Engineer on our team, you will design industrial control panels, select and integrate sensors and components, and develop electrical systems for packaging and sortation…
Added 15 mins ago
Senior Technical Engineering Leader - Guidewire PolicyCenter & Policy Lifecycle
MAPFRE Insurance
Webster, MA
Improve application scalability, observability, resilience, and release readiness.
Added 15 mins ago
RF Product Test Engineer
Insight Global
North Reading, MA
Seeking an RF-focused Product Verification Engineer to develop automated test solutions, validate RF instrumentation products, design test hardware, and troubleshoot integration issues.…
Added 15 mins ago
Senior Frontend Engineer - Hashicorp Vault
IBM
LOWELL, MA
Debug and resolve complex UI issues, including API integration, performance optimization, and security vulnerabilities
Added 16 mins ago
Cyber - AI Engineer - Manager - Consulting
EY
Boston, MA
As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
Added 16 mins ago
Senior Ellucian Technical and Integrations Engineer
State of Massachusetts
Boston, MA
Added 16 mins ago
Senior Network Engineer
Cognizant
Boston, MA
Cognizant is seeking a Senior Network Engineer to design, implement, secure, operate, and optimize enterprise datacenter, campus, branch, wireless, and hybrid-cloud networks. This role…
Added 16 mins ago
Software Engineer II
Amentum
Boston, MA
The Software Engineer II will perform full stack development with C# program, ReactJS, MVC, Linq, and rest API development in NET Core platform. This position is US remote teleworking…
Added 16 mins ago
AI Automation Architect - Manufacturing and MES processes- Remote
Cognizant
Boston, MA
…fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products…
Added 16 mins ago
Software Engineer
Teradata
Boston, MA
This position is for a Software Engineer in the POD Services team within the TD Factory team. The position involves development, integration, functional and performance testing, and fault…
Added 16 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Boston, MA
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 17 mins ago
AI Solutions Engineer
ISACA
Remote, United States
The AI Solutions Engineer is responsible for the development, integration, implementation, and maintenance of large language model (LLM) applications used to support internal business…
Added 37 mins ago
ASIC Design Verification Engineer, Google TPU
Google
Sunnyvale, CA
Application Instructions: In most instances, this position requires in-person interviews as part of the hiring process.
Added 37 mins ago
BIOLOGICAL SCIENTIST (ENVIRONMENTAL)
Air Combat Command
Luke AFB, AZ
Added 38 mins ago
Machine Perception (MP) Engineer – Level 6
Northrop Grumman
Gilbert, AZ
…spirit to our collaborative teams. As a Machine Perception (MP) Engineer – Level 6 located in Dulles, VA, or Gilbert, AZ , you’ll be a linchpin in missions of paramount importance, defining…
Added 38 mins ago
Systems Engineer - Level 5 IPT Lead
Northrop Grumman
Chandler, AZ
Northrop Grumman Space Systems has an opening for a Systems Engineer - Level 5 to join our team of qualified, diverse individuals at our Chandler, AZ site .
Added 38 mins ago
Energetics Lead Engineer Propulsion – Level 4: Active Secret Clearance
Northrop Grumman
Chandler, AZ
The Mechanical Engineering & Energetics team is hiring an Energetics Lead Engineer Propulsion – Level 4: Active Secret Clearance professional at our Chandler, AZ location.
Added 38 mins ago
Sr. Principal Electrical Engineer IV
Northrop Grumman
Chandler, AZ
Northrop Grumman Space Systems is currently seeking a Lead Sr. Principal Electrical Engineer (Strike) in our Chandler AZ facility.
Added 38 mins ago
IG
Automation Engineer (Terraform)
Insight Global
Tucson, AZ
- $65 to $75 USD / hour
- Collaborate with developers, including a full‑time full‑stack engineer, supporting integration needs and front‑end alignment when required (Angular/TypeScript exposure beneficial)

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 4, 2026

Original job description

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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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