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Added 6 mins ago
AT
Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Montpelier, VT
- $121,400 to $218,600 USD / year
As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models…
Added 6 mins ago
Senior Security GRC Engineer, AI & Automation
American Express Global Business Travel
Montpelier, VT
AmexGBT’s Security GRC team is looking for a talented Senior Security GRC Engineer to design, build, and scale automation and AI-driven solutions that modernize our governance, risk, and…
Added 6 mins ago
AT
Senior Software Engineer
Akamai Technologies, Inc.
Montpelier, VT
- $121,400 to $218,600 USD / year
…traffic environment. You will be involved in creating both platform and product related services. You will work closely with Cloud Engineers, Product Engineers, Data science and DevOps to…
Added 6 mins ago
Network Operations Engineer
Meta
Montpelier, VT
Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center…
Added 6 mins ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Montpelier, VT
…obligations governing AI use. This role implements and operates platform configuration to the requirements defined by Information Security and AI GRC. Governance, policy, risk acceptance,…
Added 6 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Montpelier, VT
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 10 mins ago
Lead Director Product Membership
CVS Health
Remote, United States
EHR & Platform Integration: Partner with Epic Analysts, platform architects, and core Salesforce teams to ensure seamless data flow between frontline clinical workflows in Epic and…
Added 10 mins ago
Staff Software Architect
CVS Health
Concord, NH
…systems architecture vision for the Clinical Insights Engine platform, drive cross-functional alignment on engineering strategy, and lead the design of mission-critical systems that power…
Added 23 mins ago
Public Cloud Network – Security Engineer - VP
Citigroup
Irving, TX
Are you a talented Public Cloud Network – Security Engineer looking for their next challenge? Do you have a passion for building cutting-edge enterprise products and a hands-on approach to…
Added 23 mins ago
MC
Principal, Digital Security Engineer
Microsoft Corporation
Dallas, TX
- $130,900 to $272,300 USD / year
As a Principal, Digital Security Engineer you will take the lead in harnessing the power of AI to achieve customer leadership. Your efforts will be instrumental in executing solution sales…
Added 23 mins ago
G
Forward Deployment Agentic Engineer
Guidehouse
SAN ANTONIO, TX · HOUSTON, TX
- $70,000 to $116,000 USD / year
Anthropic Academy coursework or certificates in areas such as AI Fluency, API development, Model Context Protocol, Claude Code, or related Claude platform topics
Added 24 mins ago
Customer Engineer I, AI Infrastructure, Google Cloud
Google
Austin, TX · Addison, TX
Share Customer Engineer I, AI Infrastructure, Google Cloud
Added 24 mins ago
DevOps Engineer III
Deloitte
Dallas, TX · Houston, TX · Austin, TX
…implementation, and optimization of cloud, automation, and platform engineering solutions across complex environments. This role blends technical delivery, client collaboration, and…
Added 24 mins ago
Lead AI and Data Science Engineer II- Marketing Measurement
Deloitte
Fort Worth, TX · Houston, TX · Austin, TX · Dallas, TX · San Antonio, TX · Westlake, TX
…collaborative environment? As an experienced Lead AI and Data Science Engineer II - Marketing Measurement, you will have the opportunity to share new ideas and collaborate on projects as a…
Added 24 mins ago
GRC Architect/ Information Security Manager- US
DXC Technology
Austin, TX
Administer and maintain the Archer SaaS platform infrastructure
Added 28 mins ago
C
Software Engineer - Mobile Crowdsourcing Platform
Calder
Redwood City, CA
- $125,000 to $250,500 USD / year
The Crowdsourcing Platform team connects people worldwide with opportunities to collect and contribute data for Physical AI. We build the contributor experience and infrastructure that turn…
Added 28 mins ago
C
Senior Software Engineer - Platform
Calder
Redwood City, CA
- $179,000 to $250,500 USD / year
- Engineer Calder's data processing infrastructure - compute orchestration, storage, scheduling, and monitoring
Added 28 mins ago
C
Software Engineer - Crowdsourcing Platform
Calder
Redwood City, CA
- $125,000 to $250,500 USD / year
The Task Platform connects people worldwide with opportunities to collect and contribute data for Physical AI. Demand across a wide range of customers and use-cases are mapped in real-time…
Added 1 hour ago
Founding Product Engineer
Raydar
San Francisco, CA
Raydar is recruiting for this role on behalf of our client. Work as a hands-on engineer who builds product features and also spends significant time with customers, handling integrations,…
Added 1 hour ago
TT
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $230,000 to $300,000 USD / year
…of AI agents in production. You will work across product and platform engineering, with a backend emphasis and ownership from customer problem discovery through…
Added 1 hour ago
Senior AI Engineer, AI Safety
NVIDIA USA
Remote, United States
Serving as an AI Engineer on our AI Safety Engineering team, you will have a key and adaptable role in scaling methods to secure and align advanced AI systems. Your early work will center…
Added 1 hour ago
Senior Deep Learning Software Infrastructure Engineer
NVIDIA USA
CA
…We are in search of a Deep Learning Software Infrastructure Engineer to propel NVIDIA’s Autonomous Vehicles project forward. In this role, you will build and scale training libraries and…
Added 2 hours ago
S
Electrical Engineer
Subsense
Mountain View, CA
- $90,000 to $110,000 USD / year
This role offers an opportunity for an early-career engineer to gain hands-on experience across electrical engineering, biomedical instrumentation, and multidisciplinary system development.…
Added 2 hours ago
Marketing Lead
Flint
San Francisco, CA
Added 2 hours ago
F
Founding Account Executive
Flint
San Francisco, CA
- $220,000 to $260,000 USD / year
Flint is the agentic platform that ships pages from your brand and ad campaigns. AI doesn't replace marketers. It removes the work that should never have been theirs: building a one-off…

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 5, 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. $155k-$175k.

Salary Description

$155k - $175k

More about this job

Skills

Regulatory compliance
Decision making
GitHub
CI/CD
Microservices
Supply chain management
Leadership
Next.js
IBM Terraform
AWS
Microsoft Azure
Google Cloud
ML
Full-stack development
React
API development
Kubernetes
CMS
Loss prevention
Data engineering
SQL
NoSQL
Infrastructure as code
LangChain
Research
Analytical skills
Attention to detail
Problem solving
Communication skills
Collaboration
Computer science
Statistics

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