Jobs in the United States

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Added 5 mins ago
Field Service Engineer II - San Antonio, Texas
Abbott Laboratories Inc(ALI)
TX
We’re hiring a Field Service Engineer within our Diagnostics Division. This is a field-based, remote role that covers the San Antonio, TX territory.
Added 9 mins ago
SentinelOne Engineer
Jobgether
Remote, United States
The SentinelOne Engineer will play a critical role in managing, securing, and optimizing advanced endpoint detection and response capabilities across mission-critical environments. In this…
Added 9 mins ago
Senior Software Engineer - Cloud SaaS - IE&A
Jobgether
Remote, United States
…and next steps. Our partner is looking for a Senior Software Engineer – Cloud SaaS – IE&A based in the United…
Added 9 mins ago
Senior Knowledge Engineer
Jobgether
Remote, United States
The Senior Knowledge Engineer will play a key role in transforming complex clinical and healthcare specifications into structured, accessible, and actionable data queries. In this position,…
Added 9 mins ago
Cloud Security Engineer
Jobgether
Remote, United States
The Cloud Security Engineer will play a key role in strengthening and maintaining security across enterprise cloud environments, with a primary focus on AWS and Microsoft Azure, alongside…
Added 18 mins ago
Data Warehouse Analyst
State of Massachusetts
Quincy, MA
Added 19 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Boston, MA
- $65 to $75 USD / hour
Hybrid 3 days onsite / 2 days remote in Rockville, MD
Added 19 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 41 mins ago
J
Lead Site Reliability Engineer
Jobgether
Remote, United States
- $150,000 to $175,000 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 Lead Site Reliability Engineer based in the United States.
Added 42 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Phoenix, AZ
- $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 42 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Phoenix, AZ
- $65 to $75 USD / hour
Hybrid 3 days onsite / 2 days remote in Rockville, MD
Added 53 mins ago
SS
Windows Systems Engineer
Samsung SDS America
Plano, TX
- $135,000 to $147,000 USD / year
We are seeking a Senior Microsoft Exchange and Active Directory Engineer to design, implement, maintain, and optimize enterprise messaging and directory services to ensure secure, highly…
Added 53 mins ago
SS
VMWare Engineer
Samsung SDS America
Plano, TX
- $156,000 to $166,000 USD / year
We are seeking a VMware Engineer to manage, maintain, and optimize enterprise virtualized environments, including VMware ESXi, vCenter, Horizon View, and end-user virtual desktop…
Added 1 hour ago
Engineer I: Aftermarket Development Program (ADP)
RTX
United States
…deep understanding of how aftermarket teams collaborate to support engine sustainment. Upon successful completion of the program, participants are prepared to transition into full-time…
Added 1 hour ago
O
Director of Strategic Communications
OpenMined
Remote, United States
- $139,000 to $245,000 USD / year
This is a fully remote role for people based in the US Eastern or Central time zone. New York is preferred. Expect occasional travel, about once a quarter.
Added 1 hour ago
Senior Backend Engineer - India
Lighthouz AI
Remote, United States
We're looking for a Backend Engineer with familiarity with front end tech to join our fast-growing engineering team. You'll play a key role in building and scaling the core infrastructure…
Added 1 hour ago
Senior Systems & Infrastructure Engineer
GEM Technologies
NY · New York, NY
New York Metropolitan Area | Primarily Remote with Occasional Client-Site Work
Added 1 hour ago
Media Director
The Shipyard
San Diego, CA
…communications, media and digital landscape. Uniquely designed to Engineer Brand Love through a unifying approach of paid, owned and earned channels, we work together to grow brands that…
Added 1 hour ago
Associate Director, Power Systems Engineering
Scout Clean Energy
Boulder, CO
…construction, commissioning, and major operational events. Remote candidates will be expected to be in the Boulder office one week per month. This role reports to the Senior Director of…
Added 1 hour ago
Senior Director, Engineering
Scout Clean Energy
Boulder, CO
…engineering teams deliver consistent, high-quality technical support that improves project execution, enhances operational reliability, and supports Scout's long-term growth…
Added 1 hour ago
VT
Client Engineer
Varsity Technologies
San Francisco, CA
- $75,000 to $90,000 USD / year
Varsity, a company under Treeline, is looking for a Client Engineer to handle complex technical issues across both remote and onsite client environments. Based in the Bay area, this is a…
Added 1 hour ago
PP
QA Automation Engineer
Pecan POS
Remote, United States
- $90,000 to $111,000 USD / year
Pecan POS builds software that helps businesses run and grow - where reliability, speed, and trust matter. Our products support real workflows and, in many cases, live transactions, so…
Added 1 hour ago
S
Senior Software Engineer
Source
Remote, United States
- $155,000 to $175,000 USD / year
Senior Software Engineer (Backend or Full-Stack)
Added 1 hour ago
Senior Distributed Systems Engineer
OpenDataLabs
Remote, United States
This is a remote position with in-person onboarding and retreats a few times a year.
Added 1 hour ago
HPC & MLOps Engineer
C-Gen.AI
Mountain View, CA
As an HPC & MLOps Engineer, you will be a foundational member of our Data Center team - integral to the design, deployment, and maintenance of high-performance computing (HPC) and MLOps…

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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