Jobs in the United States

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Added 1 min ago
Senior Analyst, Compliance Technology
Coinbase
Carson City, NV
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 1 min ago
Quality Engineer, AI & Test Automation
Baylor Scott & White Health
Carson City, NV
· The Quality Engineer, AI & Test Automation helps modernize BSWH’s quality approach by moving beyond traditional manual testing toward automation-first, engineering-integrated, and…
Added 1 min ago
Core Senior .NET Software Engineer
Evolent
Carson City, NV
The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…
Added 1 min ago
Cyber - AI Engineer - Manager - Consulting
EY
Carson City, NV · Las Vegas, NV
As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
Added 1 min ago
Senior Financial Planning & Analysis Manager
Cornerstone OnDemand
Las Vegas, NV
Support software capitalization analysis with Accounting and track engineering efficiency metrics (e.g., R&D as a percent of revenue, cost per engineer)
Added 2 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Carson City, NV
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 7 mins ago
Senior AI Engineer (AI Automation)
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer (AI Automation) based in United States.
Added 9 mins ago
Senior Forward Deployed Engineer, AWS Forward Deployed Engineering
Amazon Web Services, Inc.
Boston, MA · Seattle, WA · Arlington, VA · New York, NY · East Palo Alto, CA · San Francisco, CA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 10 mins ago
AI Enablement Engineer
Insight Global
Franklin, TN
Exposure to agent-based AI solutions and automation tools (Power Automate, etc.)
Added 11 mins ago
Global Product Manager - Pediatric Spine Portfolio
Medtronic
Memphis, TN
Added 11 mins ago
A
AI - Cybersecurity Forward Deployed Engineer - FDE Senior Manager
Accenture
Nashville, TN
- $132,500 to $366,300 USD / year
…not a pen test engagement. A Cybersecurity Forward Deployed Engineer is a production engineer who works embedded inside a client’s enterprise - shoulder to shoulder with their security and…
Added 11 mins ago
Cyber - AI Engineer - Manager - Consulting
EY
Nashville, TN · Chattanooga, TN · Memphis, TN
As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
Added 11 mins ago
Senior Analyst, Compliance Technology
Coinbase
Nashville, TN
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 11 mins ago
TPM, Fwd Deployed Engineer, Business Innovation and AI
Amazon
Nashville, TN
…Java, C#, Chef, Perl, Ruby and/or PHP) and experience with automation and any version control…
Added 11 mins ago
A
Cybersecurity AI Forward Deployed Engineer - FDE - Manager
Accenture
Nashville, TN
- $94,400 to $316,300 USD / year
…not a pen test engagement. A Cybersecurity Forward Deployed Engineer is a production engineer who works embedded inside a client’s enterprise - shoulder to shoulder with their security and…
Added 11 mins ago
Quality Engineer, AI & Test Automation
Baylor Scott & White Health
Nashville, TN
· The Quality Engineer, AI & Test Automation helps modernize BSWH’s quality approach by moving beyond traditional manual testing toward automation-first, engineering-integrated, and…
Added 11 mins ago
Site Reliability Engineer
Highmark Health
Nashville, TN
…leaders and teams to navigate and to monitor and support building automation and facility systems, clinical engineering / IoT, healthcare delivery technology architecture, infrastructure…
Added 11 mins ago
Senior Financial Planning & Analysis Manager
Cornerstone OnDemand
Nashville, TN
Support software capitalization analysis with Accounting and track engineering efficiency metrics (e.g., R&D as a percent of revenue, cost per engineer)
Added 11 mins ago
Core Senior .NET Software Engineer
Evolent
Nashville, TN
The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…
Added 11 mins ago
District Sales Manager, Pelvic Health - Tennessee
Medtronic
Nashville, TN
Added 35 mins ago
Design Engineer II
Silicon Laboratories Inc.
United States
As a Digital Design Engineer II you will develop world class, highly integrated, low power, System on a Chip devices to serve the IoT wireless market.
Added 40 mins ago
CS
Software Engineer Full Stack / Backend I (Full Time) - United States
Cisco Systems, Inc.
Remote, United States
- Full-time
As a Full Stack Software Engineer, you will develop, build, and ship end-to-end features and bug fixes across our high-scale Java backend microservices and modern React frontend…
Added 40 mins ago
Software Engineer – Release Management
Cisco Systems, Inc.
RTP, NC
We are seeking a motivated Engineer to join our Release team in Research Triangle Park (RTP), North Carolina, helping us improve software project infrastructure and product quality for…
Added 45 mins ago
Project Manager- Professional Services
Leena AI
Remote, United States
Leena AI is a leading AI-powered enterprise automation platform that helps organizations transform their employee and customer experiences. Our cutting-edge LLM-based solutions streamline…
Added 46 mins ago
QA / DevOps Engineer
NetSpeek
Remote, United States
The QA / DevOps Engineer owns platform quality, release reliability, and the AI-assisted engineering workflows our team uses to ship safely.

Senior AI Software Developer & Engineer (US Citizen)

Remote, United States

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Job details

Experience: 8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems).
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 and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting federal programs.
Serve as the primary technical authority, defining AI and application architecture across multiple programs.
Lead architecture for distributed, cloud-native, and hybrid AI systems.
Define and enforce reference architectures, standards, and reusable frameworks.
Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability.
Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability.
Advise senior federal stakeholders (SES-level and above) on AI adoption, modernization, and risk management.
Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers.
Lead design, development, and deployment of advanced AI solutions using Python as the primary development language, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks.
Architect and implement scalable ML systems and services built on Python-based frameworks and APIs.
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.
Define and implement distributed training strategies (GPU/TPU clusters, parallelization, optimization).
Oversee full ML lifecycle in partnership with the senior data scientist: data pipelines, feature engineering, training, evaluation, deployment, and monitoring.
Drive model optimization techniques (quantization, distillation, caching) to improve performance and cost.
Establish robust MLOps practices leveraging Python-driven automation, 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 Python-based refactoring and re-platforming efforts).
Define repeatable modernization frameworks and accelerators.
Oversee DevSecOps pipelines, CI/CD automation, 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 Python 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).
Executive communication skills with experience influencing senior leaders.

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 Python-based AI/ML systems (including large language models), 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 Python development experience, including designing production-grade ML systems, data pipelines, and microservices-based architectures.
Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX) and distributed training (DeepSpeed, FSDP, Horovod).
Full-stack engineering skills, including front-end frameworks, back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes).
Deep experience with cloud platforms (Azure, AWS, GCP), including FedRAMP environments and designing AI systems in cloud-native, distributed environments.
Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs.
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.
Experience managing GPU-based infrastructure or high-performance ML environments.
Demonstrated ability to translate AI research into production system.
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.
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.
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.
Experience with federal civilian agencies preferred.
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 -$189k.

Salary Description

$155k - $189k

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More about this job

Skills

Regulatory compliance
Decision making
Risk management
Python
ML
CI/CD
Microservices
Supply chain management
Leadership
Communication skills
PyTorch
TensorFlow
API development
Kubernetes
Microsoft Azure
AWS
Google Cloud
Machine learning
Deep learning
LangChain
Research
CMS
Loss prevention
Data engineering
SQL
NoSQL
Analytical skills
Attention to detail
Problem solving
Collaboration
Computer science
Statistics

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