Jobs in the United States

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Added 6 mins ago
Principal Engineer
B10 Wells Fargo Bank, N. A.
CHANDLER, AZ · IRVING, TX
Wells Fargo is seeking a Principal Engineer to lead the design, development, and delivery of Generative AI (GenAI) and Agentic AI solutions across enterprise platforms. This role will…
Added 8 mins ago
Utility Engineering Analyst 1/2/3 Flex (PCN 086095)
State of Alaska
Anchorage, AK
Added 8 mins ago
Senior Analyst, Compliance Technology
Coinbase
Jackson, MS
We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable…
Added 14 mins ago
Lead Software Engineer
B10 Wells Fargo Bank, N. A.
COLUMBUS, OH
The Lead Software Engineer will serve as a key technical contributor for Customer Account Servicing (CAS) team. This role is responsible for designing, developing, testing, and deploying…
Added 15 mins ago
AI Solutions Lead
B10 Wells Fargo Bank, N. A.
CHARLOTTE, NC · CHANDLER, AZ · IRVING, TX · DES MOINES, IA · SALT LAKE CITY, UT · SHORT HILLS, NJ · SAINT LOUIS, MO · MINNEAPOLIS, MN
Hands-on delivery of AI, machine learning, generative AI, RAG, automation, or agentic solutions - building, not only advising (Experience as a Forward Deployed Engineer, Customer Engineer,…
Added 31 mins ago
O
Senior Platform Software Engineer, AI
Oracle
Nashville, TN
- $92,500 to $209,500 USD / year
We are seeking a Senior Platform Software Engineer to design, build, and operate scalable services that improve the developer experience and increase engineering productivity. You will work…
Added 31 mins ago
Senior Agentic AI Software Engineer
Insight Global
Nashville, TN
The Staff Agentic AI Engineer will provide crucial engineering leadership in the application of advanced Generative AI, supporting the revolutionization of healthcare by designing and…
Added 1 hour ago
UI
Senior Software Engineer
Untamed Intelligence
Remote, United States
- $250,000 to $300,000 USD / year
You are a product-minded engineer who has learned to build with AI without confusing generated code with good engineering.
Added 1 hour ago
AI Engineer Internship (UNPAID)
Holiday World
Remote, United States
…focus on NLP, computer vision, recommendation systems, and generative AI. As an AI Engineer Intern, you will collaborate with our engineering team to design, develop, and deploy AI-powered…
Added 1 hour ago
Sr IT Software Engineer
Palo Alto Networks, Inc.
CA
The Senior Software Engineer on the Data & Analytics team will design, build, and support full-stack applications; integrate AI technologies into existing and new applications to deliver…
Added 1 hour ago
AI Engineer - Equity Only
Luupli
Remote, United States
As an AI Engineer at Luupli, you will play a pivotal role in developing intelligent systems and orchestrating agentic workflows that power Luupli’s AI features. Your work will span…
Added 1 hour ago
MT
Site Reliability Engineer
Medina Talent Group
Irvine, CA
- $125,000 to $155,000 USD / year
As a Site Reliability Engineer, you will be immersed in a high-performing and frequently challenged team responsible for the reliability, scalability, and operational excellence of product…
Added 1 hour ago
MT
Lead Engineer
Medina Talent Group
Irvine, CA
- $135,000 to $150,000 USD / year
The Lead Engineer for Enterprise Applications is responsible for driving the design, development, modernization, and lifecycle management of enterprise application portfolios. This role…
Added 1 hour ago
DA
ML Engineer - Demand Geneneration / Research / Engineering
Deccan AI
Mountain View, CA
- $160,000 to $320,000 USD / year
We are looking for an ML Engineer – Demand Generation / Research / Engineering to build intelligent systems that leverage machine learning, data science, and AI to drive business growth and…
Added 1 hour ago
DA
Founding Engineer - ML Research
Deccan AI
Mountain View, CA
- $160,000 to $320,000 USD / year
We’re looking for a Founding ML Research Engineer to help build and scale our AI research backbone from the ground up. This role sits at the intersection of applied machine learning and…
Added 1 hour ago
Founding Engineer - Machine Learning
Deccan AI
Mountain View, CA
We’re looking for a Founding ML Engineer to build and scale core machine learning systems from the ground up. This is a hands-on role for someone who can move fast between experimentation…
Added 1 hour ago
Sr. SDE, AWS Agentic WorkSpaces - Forefront (Agentic Harness)
Amazon.com Services LLC
Seattle, WA
…customers discover onboard and manage WorkSpaces by embedding generative AI directly into our consoles and SDK. As a Senior Software Development Engineer you will be a key contributor to…
Added 1 hour ago
TW
AI Marketing Project Manager
Together We Talent
Remote, United States
- $50 to $60 USD / hour
This is not an AI Engineer or AI Developer position. The Project Manager will serve as the critical bridge between Marketing business owners and AI development teams, translating marketing…
Added 1 hour ago
Software Engineer, XR Developer
Aether
Remote, United States
We're looking for a sharp, ambitious Frontend Engineer with strong CAD / 3D skills to take ownership of key parts of our in-browser solar configurator - a Three.js-powered design engine…
Added 1 hour ago
Software Engineer, Three.js
Aether
Remote, United States
We're looking for a sharp, ambitious Frontend Engineer with strong CAD / 3D skills to take ownership of key parts of our in-browser solar configurator - a Three.js-powered design engine…
Added 1 hour ago
Senior CAD Engineer (Remote)
Aether
Remote, United States
We're looking for a sharp, ambitious Frontend Engineer with strong CAD / 3D skills to take ownership of key parts of our in-browser solar configurator - a Three.js-powered design engine…
Added 1 hour ago
ET
AI/ML Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $130,000 USD / year
We are seeking a motivated and technically skilled AI/ML Engineer to join our engineering team. The ideal candidate will have a strong foundation in Python programming, machine learning…
Added 1 hour ago
ET
AI Engineer (US)
EdgeQ Technologies Private Limited
San Francisco, CA
- $100,000 to $180,000 USD / year
We are seeking a talented and motivated AI Engineer to design, develop, and deploy AI-powered applications using Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG),…
Added 1 hour ago
C
Lead Software Engineer - Java/AWS
Capgemini
New York, NY, NY
- $140,000 to $175,000 USD / year
We are seeking an experienced Lead Software Engineer with deep Java, Spring Boot, and AWS expertise to lead the design and development of large-scale, cloud-based enterprise applications.
Added 1 hour ago
Google Cloud Data Architect 1
Capgemini
Nashville, TN, TN · Atlanta, GA
We are seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This role is hands-on…

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 4, 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. $159k -$201k.

Salary Description

$159k - $201k

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