Jobs in the United States

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Added 24 mins ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
- Data science or machine learning experience, or academic grounding in statistics, mathematics, applied mathematics, computer science, or another quantitative field.
Added 56 mins ago
Software QA Engineer II Senior - (E2)
Applied Materials
Billerica, MA
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 57 mins ago
Software Development Engineer, OneMHS
Amazon
Boston, MA
We are seeking an exceptional Software Development Engineer to build and scale edge machine learning compute, equipment monitoring, and computer vision capabilities across our global…
Added 1 hour ago
O
Pursuit Manager - Federal
Oracle
Jefferson City, MO
- $21.3 to $33.22 USD / hour
+ Identify and surface candidates for AI-enabled automation as the Applied AI capability comes online; partner with the AI Integration Engineer on pilot workflows.
Added 1 hour ago
Cloud Solution Engineer (Genomics & AI)
Oracle
Jefferson City, MO
The opportunity Oracle is seeking a senior pre-sales engineer with expertise in genomics, software engineering, and applied AI/ML. You will help molecular diagnostics companies, genomics…
Added 2 hours ago
Research Engineer, Cybersecurity RL (Reinforcement Learning)
Anthropic
San Francisco, CA · New York City, NY
…comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability…
Added 3 hours ago
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Software Engineer II & Senior Software Engineer - CoreAI Speech Team
Microsoft
WA · Redmond, WA · Redmond
- $102,100 to $202,200 USD / year
We are hiring an experienced Software Engineer II and a Senior Software Engineer to join our team! As a Software Engineer within the Microsoft CoreAI Speech Team, you will help design,…
Added 3 hours ago
Senior Staff / Senior Algorithm Engineer (Clearance Required)
Scitec, Inc.
Dayton, OH
…have any of the following skills will be preferred: - PhD in Applied Mathematics, Physics, Electrical Engineering, or related technical field - Active TS/SCI security clearance - Experience…
Added 4 hours ago
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Principal Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
…for decades to come. We are looking for Principal Software Engineer to join our…
Added 4 hours ago
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Principal Software Engineer(s) + Senior Software Engineer(s)
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $234,700 USD / year
We are hiring Principal Software Engineer(s) + Senior Software Engineer(s) across the teams led by David Weston and Pankaj Naik. Depending on the team, you may build large-scale security…
Added 4 hours ago
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Software Engineer II
Microsoft
BC, CA
- $85,800 to $169,300 CAD / year
As a Software Engineer II on our team, you will design, develop, test, and maintain components of highly scalable and reliable cloud infrastructure. You will solve technical challenges…
Added 4 hours ago
Model Engineer, Multimodal Understanding
SpaceXSI
Palo Alto, CA
Collaborate cross-functionally with pre-training, post-training, reasoning, data, applied, and product teams to deliver frontier capabilities in multimodal reasoning, world modeling, tool…
Added 4 hours ago
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Software Development Engineer I, Tools
Optimum
Bethpage, NY
- $83,538 to $137,241 USD / year
Optimum Technology Operations & Resilience is looking for a Tools Engineer I to help build and improve internal applications, automations, dashboards, and integrations that support our…
Added 4 hours ago
Software Engineer
Turing
Remote, United States
This is a role for an experienced engineer who works independently, makes sound tradeoffs, and turns a loosely defined request into something shipped, tested, and safe to leave alone.
Added 4 hours ago
Senior Principal Engineer- Autonomous Driving (ADAS) Data Loop & Flywheel
Bosch Group
Sunnyvale, CA
As the Senior Principal Engineer – ADAS & AV Data Loop & AI Flywheel, you will spearhead the architectural strategy, design, and execution of the end-to-end continuous data engine powering…
Added 5 hours ago
Senior Software Engineer, AI/ML
Google
Mountain View, CA
Applied ML skills (LLMs, NLP), experience with TensorFlow, python, and building/launching ML models.
Added 6 hours ago
Security Engineer
BOOZ, ALLEN & HAMILTON, INC.
Annapolis Junction, MD
Knowledge of AI / ML concepts applied to security analytics such as anomaly detection, behavioral baselining, or threat scoring
Added 6 hours ago
PM
Lead Forward Deployed Engineer
Prologis Management
Denver, CO
- $200,000 to $285,000 USD / year
Coordinate closely with central AI Product, Applied AI Engineering, Platform, Data and Knowledge, Security and Governance, Process and Agent Orchestration, Enablement, Architecture and AI…
Added 6 hours ago
Intern, Field Process Engineering
ASM
United States
We are seeking a motivated Field Process Engineer Intern to gain hands-on experience supporting process development, optimization, qualification, and troubleshooting activities for advanced…
Added 6 hours ago
Intern, Electrical Engineering
ASM
United States
We are seeking a motivated Hardware Engineer Intern, Electrical to join our engineering team and gain hands-on experience supporting the design, integration, testing, and continuous…
Added 7 hours ago
FEP TPS Engineer - E3
Applied Materials, Inc
Phoenix, AZ
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 7 hours ago
New College Grad - Process Engineer - Doctorate (Winter 2026)
Applied Materials, Inc
Santa Clara, CA
As a Process Engineer, you'll play a critical role in solving our customers’ biggest challenges by designing and optimizing semiconductor manufacturing processes. You will work on some of…
Added 7 hours ago
New College Grad - Process Engineer - Doctorate (Winter 2026)
Applied Materials, Inc
Santa Clara, CA
As a Process Engineer, you'll play a critical role in solving our customers’ biggest challenges by designing and optimizing semiconductor manufacturing processes. You will work on some of…
Added 7 hours ago
Global Product Support Engineer III
Applied Materials, Inc
Kalispell, MT
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 7 hours ago
AA
Product Manager, Incentives
Augeo Affinity Marketing, Inc.
St Paul, MN
- $125,000 to $152,000 USD / year
Augeo's Applied AI team builds THEO, the orchestration and intelligence layer behind the reward, recognition, incentive and advocacy programs our clients run. We are hiring a Product…

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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