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Staff Machine Learning Engineer, Model Platform
Wonder Group, INC
NY
Wonder's Model Platform team builds the systems that take machine learning models from prototype to production and keeps them running well once they're there. Our models rank restaurants…
Added 1 min ago
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Driver OTR
Clean Harbors
Easton, IL
- $80,000 to $110,000 USD / year
…rooted in a strong sense of tradition. Our entire business model revolves around keeping North American businesses green. We generate more than $1.2 billion in annual revenue as a…
Added 1 min ago
Director, Technical Program Management
projects/helpful-passage-853/companies/9810ab3a-d8cd-4ba4-9ee5-ca421241fe3c
San Francisco, CA
…role, you will establish the portfolio governance, operating model, and delivery frameworks that bridge Engineering, Product, Design, and Go-to-Market (GTM). You will shape pillar-level…
Added 3 mins ago
Senior FinOps Analyst ID94366
AgileEngine
Irving, TX
- Model team cost projections and respond to customer help requests via Slack, email, and other channels.
Added 3 mins ago
Senior FinOps Analyst ID94366
AgileEngine
Dallas, TX
- Model team cost projections and respond to customer help requests via Slack, email, and other channels.
Added 3 mins ago
Senior FinOps Analyst ID94366
AgileEngine
Fort Lauderdale, FL
- Model team cost projections and respond to customer help requests via Slack, email, and other channels.
Added 3 mins ago
Senior FinOps Analyst ID94366
AgileEngine
Houston, TX
- Model team cost projections and respond to customer help requests via Slack, email, and other channels.
Added 3 mins ago
Senior FinOps Analyst ID94366
AgileEngine
Jersey City, NJ
- Model team cost projections and respond to customer help requests via Slack, email, and other channels.
Added 3 mins ago
P&
Senior AI Engineer
Procter & Gamble
CINCINNATI, OH
- $132,200 to $165,300 USD / year
…IT policies. The role also involves developing data models, model features, data quality tests, ETL/ELT pipelines, and distributed computer architectures. Deploying algorithmic products…
Added 4 mins ago
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Propulsion Engineer
Actalent
Hampton, VA
- $57.69 to $76.92 USD / hour
Model engine control and accessory systems, including FADEC, fuel control units (FCU), propeller governors, starters, bleed air, anti-ice systems, and engine indication.
Added 5 mins ago
Associate Director - Application Security
S&P Global Inc.
NY
…fast-paced culture emphasizes automation-first approaches, developer partnership, and continuous learning in emerging technologies. Team members gain exposure to enterprise-wide security…
Added 5 mins ago
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AI Full Stack Engineer
Wavestone
Pittsburgh, PA
- $90,000 to $120,500 USD / year
Participate in data preparation, model training, prompt engineering, and solution validation activities.
Added 5 mins ago
Software Engineering Generative AI Intern
our team
Elk Grove Village
…a standard for how we manage ourselves, and our Leadership Model sets the standard for how we engage with each other. Whether you are an individual contributor or you lead a large team,…
Added 8 mins ago
Product Manager / Engineer -- TS/SCI
Parsons Technical Services, Inc.
VA
Understanding of AI/ML product development, responsible AI, data governance, and model lifecycle management
Added 9 mins ago
Account Manager, Corporate Enterprise Growth Strategy
Extend
Remote, United States
Added 10 mins ago
Sr. Silicon Design Engineer: Hardware-Software Co-Design
Advanced Mircro Devices, Inc.
Bellevue, WA
…AMD Instinct GPUs. You will work with hardware architects to model and evaluate how GPU microarchitecture, AI frameworks, and the ROCm software stack interact, using that analysis to drive…
Added 10 mins ago
Senior Full Stack AI Engineer (US Citizen)
Remote, United States
Drive LLM performance and cost optimization (e.g., caching, prompt and context optimization, model selection).
Added 10 mins ago
Practice Director, Cloud Services - US-Based
Toptal
Remote, United States
Learn about Toptal’s history, culture, and vision, with a focus on the state of our industry, Toptal’s operating model, and the core messages important to Toptal.
Added 12 mins ago
Senior Software Development Engineer, EC2 Trainium AI Infra
Amazon.com Services LLC
Seattle, WA
…applications including LLMs, multimodal systems, and emerging model…
Added 13 mins ago
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Customer Support Specialist (Integrations & Accounting)
Miter
Remote, United States
- $90,000 to $110,000 USD / year
…through CSV imports and exports, and learning how a system's data model fits together. You can work out what's going on without a…
Added 13 mins ago
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Senior Transportation Analyst
StockX
Detroit, MI
- $90,000 to $100,000 USD / year
Passion for our business model and product categories a plus
Added 13 mins ago
FY27 Intern - Software Validation Engineering Internship - Canada (16 months)
ON, CA
Our internship hiring model routes candidates from this application into multiple project specific roles. Your "Profile Visibility" choice will guide how we manage your data across our…
Added 14 mins ago
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Joint Staff J5 Data & AI Enablement Specialist
Forge Group, LLC
Arlington, VA
- $100,000 to $130,000 USD / year
Added 15 mins ago
Senior Product Delivery Associate-Workflow Services Aurora
JPMC page
Newark, DE · Plano, TX · Chicago, IL
Direct the execution of release management activities within the Agile / Kanban model.
Added 15 mins ago
Innovation Business Partner_3381
Allianz Insurance
Minneapolis, MN
We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working

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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