Jobs in the United States

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Added just now
Enterprise AI Standards Program Lead
Boston Scientific
Arden Hills
…collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week. Boston Scientific will not offer sponsorship or…
Added 2 mins ago
JD
Part-Time Student - Product Engineering - Urbandale, IA
John Deere
Urbandale
- $15 to $40 USD / hour
- Part-time
Develop synthetic data generation and simulation workflows to improve model robustness and reduce data collection costs.
Added 3 mins ago
Associate Software Engineer (Hybrid)
Vizient
Irving
Experience using AI-assisted development tools or participating in an AI-native Software Factory development model.
Added 3 mins ago
Sourcing Director - Clinical Categories
Vizient
Irving · Chicago · Nashville · Charlotte · Centennial
This role follows a hybrid work model, requiring three days per week in the office. Office locations include Irving, TX; Chicago, IL; Centennial, CO; Nashville, TN; and Charlotte, NC.
Added 3 mins ago
A
Embedded Software Engineer
Actalent
Phoenix, AZ
- $50 to $65 USD / hour
Work EnvironmentThe role offers a hybrid work model centered around Cedar Rapids, Iowa. A typical hybrid arrangement may include two weeks working remotely followed by two weeks onsite in…
Added 3 mins ago
FIB-TEM Automation Engineer
Micron Technology
Boise
AI Augmented model training, or machine‑learning–based analysis) with proficient programming skills using Python or iFast.
Added 3 mins ago
Staff Engineer, Technology - AMAIS
Micron Technology
Boise
Support the full model lifecycle, including development, validation, deployment, monitoring, and refresh of VPM and SPOCK applications.
Added 3 mins ago
Project Senior Consultant, Forensics and Investigations, Journeyman Program Security Officer
Deloitte US
McLean, VA · Rosslyn, VA
The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional…
Added 5 mins ago
AI/ML Engineer (Computer Vision)
CACI, INC.-FEDERAL
Ashburn, VA
· Performance Optimization: Optimize model inference speed (FPS) and accuracy (mAP, Precision, Recall) using hardware-acceleration toolkits (e.g., NVIDIA TensorRT, DeepStream, CUDA).
Added 9 mins ago
WI
(USA) Principal, Software Engineer
Walmart Inc.
United States
- $110,000 to $220,000 USD / year
Integrate AI agents and intelligent applications using modern programming languages and model-driven design techniques.
Added 10 mins ago
Design Verification Engineer, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Austin, TX · Irvine, CA · San Diego, CA
- System C or Matlab model : development or DV integration experience
Added 11 mins ago
Senior Director, Business Operations & NPI
SambaNova
San Jose, CA
…on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running…
Added 12 mins ago
Operational Technology System Architecture
Enbridge Employee Services Inc
Remote, United States
Familiarity with OT cybersecurity and architecture standards and frameworks such as IEC 62443, ISA-95/ISA-99, NIST Cybersecurity Framework, and the Purdue Model.
Added 15 mins ago
Mid Market Hunter District Manager
ADP
Fort Lauderdale, FL
…system integrations, advanced reporting, and a dedicated service model focused on long term partnership, compliance accuracy, and operational…
Added 15 mins ago
Construction Management Digital Delivery Leader
RS&H
Remote, United States
Demonstrated success implementing model-based coordination, quality assurance standards, and data-driven construction workflows
Added 17 mins ago
Manufacturing Operations Supervisor
American Bankers Insurance Company of Florida
United States
Develop and implement process improvements, and coordinate new model introductions
Added 18 mins ago
Director, Content Operations - Agency G
Gilead Sciences, Inc.
CA · NJ
Agency G Operating Model and Partner Experience:
Added 18 mins ago
AA
Sales Manager, Gallery Partnerships (New York)
Artsy and Artnet
New York, NY
- $65,000 to $78,000 USD / year
Added 18 mins ago
VP Flow Reinsurance
Athene Employee Services, LLC
NY
…innovation. You will lead with accountability, develop talent and model Athene’s BEAM…
Added 20 mins ago
RA
Head of Technology Foundations
Rivian and Volkswagen Group Technologies
Remote, United States
- $218,800 to $359,425 USD / year
…creating a more integrated, automated, and scalable operating model across foundational technology…
Added 20 mins ago
Nurse Practitioner or Physician Assistant – Primary Care Community Center – Mesa, AZ
UnitedHealth Group
Mesa, AZ
Experience in providing patient care under a Value Based Care Model
Added 21 mins ago
Software Engineer: Frontend
Generalist
Somerville, MA
…intuitive and useful. Your work will help researchers understand model behavior, operators manage robot fleets, and customers build with our foundation…
Added 21 mins ago
G
Electrical Engineer
Generalist
Somerville, MA
- $200,000 to $350,000 USD / year
…system architecture choices and discussing their impact on model performance with our ML engineers, to getting your hands dirty with bench level soldering and rework, measuring timing…
Added 21 mins ago
Strategic Deals Lead
Generalist
Somerville, MA
…contractual issues, including training data and data-use rights, model and fine-tune rights, intellectual property, exclusivity, deployment, and other emerging AI and robotics…
Added 21 mins ago
Partnerships Associate
Generalist
Somerville, MA
- Experience working in AI/ML, robotics, developer platforms, or another complex technical environment.

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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