Jobs in the United States

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Added 1 min ago
ER
Environmental Regulatory Specialist
Environmental Research Group
Austin, TX
- $80,000 to $90,000 USD / year
Bachelor's degree in Environmental Engineering, Environmental Science, or a closely related field. Master's degree, Professional Engineer, and/or relevant certifications are preferred.
Added 1 min ago
ER
Environmental Regulatory Specialist
Environmental Research Group
Baltimore, MD
- $80,000 to $90,000 USD / year
Bachelor's degree in Environmental Engineering, Environmental Science, or a closely related field. Master's degree, Professional Engineer, and/or relevant certifications are preferred.
Added 1 min ago
ER
Environmental Regulatory Specialist
Environmental Research Group
Phoenix, AZ
- $80,000 to $90,000 USD / year
Bachelor's degree in Environmental Engineering, Environmental Science, or a closely related field. Master's degree, Professional Engineer, and/or relevant certifications are preferred.
Added 1 min ago
ER
Environmental Regulatory Specialist
Environmental Research Group
Portland, OR
- $80,000 to $90,000 USD / year
Bachelor's degree in Environmental Engineering, Environmental Science, or a closely related field. Master's degree, Professional Engineer, and/or relevant certifications are preferred.
Added 2 mins ago
UG
Lead AI/ML Engineer - Office Based - Eden Prairie, MN
UnitedHealth Group
Eden Prairie, MN
- $145,500 to $249,500 USD / year
…us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us in making healthcare work…
Added 2 mins ago
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Staff Backend Engineer, Internal
Horizon3
Remote, United States
- $229,000 to $270,000 USD / year
As a Staff Backend Engineer on the Internal Attack team, you'll set technical direction for the backend systems that power NodeZero's internal pentesting capabilities, from architecture and…
Added 2 mins ago
A
Senior Mechanical Engineer, Data Centers - Remote (U.S.)
AECOM
Remote, United States
- $170,000 to $200,000 USD / year
AECOM is seeking to hire a highly skilled Senior Mechanical Engineer for the Data Center and Mission Critical team for our east region. The ideal candidate for this position should be…
Added 3 mins ago
Biomedical Equipment Engineer
Quest Diagnostics
Saint Louis, MO
The Biomedical Equipment Engineer (BME) is responsible for the proper operation, repair, and Preventive Maintenance (PM) carried out on all assigned equipment in the laboratory, ensuring…
Added 3 mins ago
Data Engineer - Snowflake & DBT
Kapitus
Arlington, VA
…structure, dbt project conventions, testing requirements, and performance and cost discipline (warehouse sizing, query efficiency, clustering…
Added 3 mins ago
Data Engineer - Snowflake & DBT
Kapitus
Arlington, VA
…structure, dbt project conventions, testing requirements, and performance and cost discipline (warehouse sizing, query efficiency, clustering…
Added 3 mins ago
Data Engineer - Snowflake & DBT
Kapitus
Arlington, VA
…structure, dbt project conventions, testing requirements, and performance and cost discipline (warehouse sizing, query efficiency, clustering…
Added 3 mins ago
LCMS Field Service Engineer 1
ThermoFisher Scientific
Guilford, CT
Join us at Thermo Fisher Scientific as a Field Service Engineer, where you'll contribute by ensuring our sophisticated scientific instruments operate at peak performance. In this role,…
Added 3 mins ago
Senior Supplier Quality Engineer
Medtronic
North Haven, CT
The Senior Supplier Quality Engineer will lead quality activities supporting supplier transfers and product lifecycle changes. This role partners with suppliers and cross-functional teams…
Added 3 mins ago
Staff Engineer, Electrical Engineering
Doosan Bobcat
South Windsor, CT
The Staff Electrical Design Engineer is responsible for the design, development, analysis, and implementation of electrical power, control, and instrumentation of the fuel cell electrical…
Added 4 mins ago
Environmental Program Leader – Hazardous Waste and Dangerous Goods Compliance
GE Aerospace
Norwalk, CT
…expertise, and continuous improvement across hazardous waste management and dangerous goods/hazmat transportation. In this highly visible role, the successful candidate will shape strategy,…
Added 4 mins ago
Lead Software Engineer
Highmark Health
Hartford, CT
The job is an integral member of an agile software engineer team responsible for building scalable software applications across all digital channels to serve our customers. The position…
Added 4 mins ago
Associate Software Engineer
Highmark Health
Hartford, CT
This job is an integral member of an agile software engineer team responsible for building scalable software applications across all digital channels to serve our customers. Responsible for…
Added 4 mins ago
Software Engineer 2
Humana
Hartford, CT
The Software Engineer 2 will join a collaborative engineering team focused on building and enhancing applications that support cybersecurity and identity access management initiatives. This…
Added 4 mins ago
Network Operations Engineer
Meta
Hartford, CT
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 4 mins ago
Lead Engineer
PwC
Stamford, CT · Hartford, CT
As a Lead Engineer you will guide the design, build, testing, and modernization of custom applications across cloud-native and on-premise environments, using modern engineering approaches,…
Added 4 mins ago
Mechanical Engineer, Data Center Operations Engineering
Meta
Hartford, CT
Develop effective measurements and reports from Building Management System (BMS) and other monitoring systems to optimize performance and reliability
Added 4 mins ago
Senior Telecom Engineer
Maximus
Hartford, CT
Maximus is seeking an experienced Senior Telecom Engineer to lead the design, implementation, and optimization of Genesys Cloud solutions. This role is responsible for executing large-scale…
Added 4 mins ago
C
Salesforce Production Support Engineer
Cognizant
Hartford, CT
- $64,000 to $95,000 USD / year
As a Salesforce Production Support Engineer , you will make an impact by ensuring the stability, reliability, and continuous availability of the Salesforce Service Cloud platform. You will…
Added 4 mins ago
Director - Customer Response Engineering
Trellix
Hartford, CT
Partner with Technical Support, Customer Success, Product Management, and Engineering so issues reach the right engineer fast and customer feedback reaches the roadmap.
Added 4 mins ago
Senior Lead Engineer
PwC
Stamford, CT · Hartford, CT
As a Senior Lead Engineer you will lead custom application development and testing efforts that help clients turn business needs into scalable software solutions across cloud-native and…

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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