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Added 7 mins ago
Lead Director Product Membership
CVS Health
Remote, United States
Direct Ownership of Core Retention Portfolios: Lead software, data engineering, Data Science, and Epic Analyst initiatives across key operational programs, including:
Added 7 mins ago
Lead Distributed Systems Engineer (AI/ML Platform) - Watertown, MA
Kelly Services
Watertown, MA
A fast-growing AI and data platform company is seeking a Lead Distributed Systems Engineer (AI/ML Platform) to architect and scale the infrastructure that powers enterprise AI and machine…
Added 7 mins ago
C
Customer Success Program Manager - Food
Carrier
Beverly, MA
- $79,000 to $158,000 USD / year
…cold chain implementations using advanced proprietary tracking software and predictive platforms. The ideal candidate does not just manage projects and programs, they unlock the potential…
Added 7 mins ago
Image Sensor Characterization Engineer
MIT Lincoln Laboratory
Lexington, MA
…problems. You may own discrete project/program components or lead complex workstreams and small…
Added 7 mins ago
DevOps Engineer III
Deloitte
Boston, MA
…and operational improvement to help organizations strengthen software delivery performance and business…
Added 7 mins ago
Software Engineer, Machine Learning RecSys
Meta
Boston, MA
Software Engineer, Machine Learning RecSys Responsibilities:
Added 7 mins ago
Lead Field Service Engineer – Automation
GE Vernova
Boston, MA
System Commissioning: Lead the end-to-end installation, loop testing, and commissioning of integrated Marine Automation and Dynamic Positioning (DP) systems, ensuring full compliance with…
Added 7 mins ago
Lead Field Service Engineer – Drives
GE Vernova
Boston, MA
As a Lead Field Service Engineer, you will serve as the technical authority for the installation, commissioning, and maintenance of GE’s advanced drive architectures. You will operate with…
Added 7 mins ago
C
Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Boston, MA
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
Added 7 mins ago
OneStream Lead Analytics and Insights Engineer II Manager
Deloitte
Boston, MA
Lead the design and implementation of OneStream solutions for financial consolidation, planning, budgeting, and reporting
Added 7 mins ago
GA
Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
GE Aerospace
Boston, MA · Lynn, MA
- $131,000 to $174,000 USD / year
Serve as the senior technical operations authority across engineering application pods (software, hardware and electronic design, and project and portfolio management tools) for US and UK…
Added 7 mins ago
Lead AI and Data Science Engineer II- Marketing Measurement
Deloitte
Boston, MA
…wants to work in a collaborative environment? As an experienced Lead AI and Data Science Engineer II - Marketing Measurement, you will have the opportunity to share new ideas and…
Added 7 mins ago
Lead Data Engineer, Scientific Data - Boston, Ma
Kelly Services
Boston, MA
…data engineering, and artificial intelligence is seeking a Lead Data Engineer, Scientific Data to join its high-impact engineering…
Added 7 mins ago
C
Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Boston, MA
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
Added 7 mins ago
Manufacturing Engineer 3 - 31037
HII
Pocasset, MA
…vehicles (UUVs), unmanned surface vehicles (USVs) and autonomy…
Added 7 mins ago
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Senior Manufacturing Engineer
VulcanForms
Newburyport, MA
- $99,584 to $136,920 USD / year
…brings deep expertise in manufacturing, materials science, software, automation, and operations, united by a shared commitment to quality, curiosity, and accountability. We foster an…
Added 7 mins ago
EG
Cloud Engineer
Eliassen Group
Boston, MA
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 17 mins ago
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Bridge Engineer PE - DOT Bridge Design
GPAC
Ankeny, IA
- $150,000 to $180,000 USD / year
…strong DOT bridge program across the Midwest, is hiring a Bridge Engineer PE based in central Iowa. A local presence near Des Moines is preferred to support Iowa DOT work; regional…
Added 17 mins ago
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Bridge Engineer PE - DOT Bridge Design
GPAC
Ames, IA
- $150,000 to $180,000 USD / year
…strong DOT bridge program across the Midwest, is hiring a Bridge Engineer PE based in central Iowa. A local presence near Des Moines is preferred to support Iowa DOT work; regional…
Added 17 mins ago
G
Bridge Engineer PE - DOT Bridge Design
GPAC
Altoona, IA
- $150,000 to $180,000 USD / year
…strong DOT bridge program across the Midwest, is hiring a Bridge Engineer PE based in central Iowa. A local presence near Des Moines is preferred to support Iowa DOT work; regional…
Added 21 mins ago
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Senior Bridge Engineer PE - Structures Lead (DOT)
GPAC
Waukee, IA
- $145,000 to $175,000 USD / year
…practice in central Iowa. They're looking for a senior bridge engineer to lead structures work locally, mentor engineers, and help grow the…
Added 22 mins ago
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Structures Group Manager PE - Transportation Bridges
GPAC
Highlands Ranch, CO
- $145,000 to $175,000 USD / year
…practice in the Denver area. They're looking for a senior bridge engineer ready to step into group leadership, with a structured hand-off and mentorship from the current group…
Added 22 mins ago
G
Structures Group Manager PE - Transportation Bridges
GPAC
Englewood, CO
- $145,000 to $175,000 USD / year
…practice in the Denver area. They're looking for a senior bridge engineer ready to step into group leadership, with a structured hand-off and mentorship from the current group…
Added 22 mins ago
G
Structures Group Manager PE - Transportation Bridges
GPAC
Denver, CO
- $145,000 to $175,000 USD / year
…practice in the Denver area. They're looking for a senior bridge engineer ready to step into group leadership, with a structured hand-off and mentorship from the current group…
Added 23 mins ago
Plant Smart Factory Lead
ZF
Gray Court, SC
The IT Team Lead/Supervisor is a key member of the plant’s Smart Factory / Industry 4.0 team, responsible for implementing software solutions and coordinating all digitalization and…

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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