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Added 2 mins ago
Senior AI Engineer, Marketing
OPSWAT
Remote, United States
We are looking for an innovative engineer for the GTM Product Team to strengthen the technology beneath OPSWAT's marketing operations. Marketing runs on HubSpot today, and it works hard for…
Added 2 mins ago
Senior AI Engineer, Marketing
OPSWAT
Tampa, FL
We are looking for an innovative engineer for the GTM Product Team to strengthen the technology beneath OPSWAT's marketing operations. Marketing runs on HubSpot today, and it works hard for…
Added 2 mins ago
Junior Environmental Engineer - Water Services
CDM Smith
Fairfax, VA
…work alongside experienced engineers and our Regional Lead Service Line Rehabilitation Project Technical Lead, based in Indianapolis, to develop solutions that meet client needs and comply…
Added 4 mins ago
Product Engineer
EnPro Associates LLC
PALMYRA, NY
Position: Product Engineer About the Role: We're looking for a versatile and driven Product Engineer to join our team and contribute across the full product lifecycle-from concept and…
Added 4 mins ago
PC
Field Engineer
Pyramid Consulting, Inc.
ELMHURST, NY
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Added 4 mins ago
Lead Engineer Energy Control Sys
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BIBLE SCHOOL PARK, NY
…configuring, commissioning and testing Remote Terminal Units (RTU#s) Field testing methodology, develop testing plans Ability to interpret engineering documentation: Control System…
Added 4 mins ago
Controls Engineer II
SP Industries Inc.
GARDINER, NY
ATS Company: SP Industries Requisition ID: 17568 Location: Gardiner, NY, US, 12525Date: Aug 7, 2026 Controls Engineer II SP Industries, Inc., an ATS company, has an opening for a Controls…
Added 5 mins ago
Senior Process Development Engineer
Veeco Instruments Inc.
PLAINVIEW, NY
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Added 5 mins ago
Engineer I Design
Microchip Technology Inc.
HAUPPAUGE, NY
…perks await!Job Description:Join the Design Engineering team as Engineer I-Design supporting semiconductor architecture, RTL and circuit design, integration, verification, performance,…
Added 5 mins ago
M
Project Engineer
MTA
Jamaica, NY
- $59.24 USD / hour
…contract award through inspection of the work performed in the field. File all documents and reports as per ISO 9001-2008 standard. Perform concrete…
Added 6 mins ago
WM
Field Engineer- Weeks Marine Construction-NY, NJ, CT
Weeks Marine
Staten Island, NY · Manhattan, NY · Brooklyn, NY
- $66,000 to $77,000 USD / year
As a Field Engineer, you will be exposed to all aspects of the project, and report directly to the Project Manager. As a Field Engineer, you will be expected to be a job-site leader in…
Added 6 mins ago
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Associate, Geotechnical Engineer
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Added 6 mins ago
Principal Aortic Clinical Specialist - Syracuse, NY
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Front End Web Applications Developer (Mid-Level) (5664)
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SMX is currently looking for a highly motivated Software Engineer - Front End Web Applications to contribute to the design, build, support, and implementation of the Budget and Spend (BAS)…
Added 6 mins ago
Front End Web Applications Developer (Junior) (5660)
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Associate Software Engineer
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Network Operations Engineer
Meta
Albany, NY
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…
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Vice President, Cloud Platform Engineer
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…Docker, Kubernetes, and familiar with Git development. The Engineer is expected to provide strategy and implement enterprise-scale automation for scalability, performance, security, and…
Added 6 mins ago
Associate Engineer Distribution Planning
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Added 6 mins ago
Infrastructure Operations Engineer (IT Infrastructure Engineer 1) - Provisional (Repost)
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Added 7 mins ago
Manufacturing Software Test Engineer - Kansas City KS
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Added 7 mins ago
Lead Field Services Engineer
Cognizant
New York, NY
Cognizant is seeking a Lead Field Services Engineer for a full-time opportunity in New York City, NY

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 5, 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. $155k-$175k.

Salary Description

$155k - $175k

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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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