Jobs in the United States

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Added 2 mins ago
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Transportation Engineer
GPAC
Raleigh, NC
- $80,000 to $125,000 USD / year
Partnership/equity track for senior-level professionals
Added 3 mins ago
Senior Antenna Engineer
Astranis
San Francisco, CA
As a Senior Antenna Engineer you will be responsible for the design, qualification, and procurement of antenna system components for ongoing production as well as R&D programs. You will…
Added 4 mins ago
Senior Mechanical Engineer with CFD Expertise
ARA Brand
Panama City, FL
ARA’s Engineering Science Division is seeking an experienced mechanical engineer with computational fluid dynamics (CFD) expertise to support the design, development, prototyping,…
Added 5 mins ago
Senior Application Engineer
ALLIENT INC
Williamsville, NY · Rochester, NY
Allient Inc. is in growth mode and currently seeking a Senior Application Engineer to join our team in Rochester, New York!
Added 6 mins ago
Senior Software Engineer
Humata Health, Inc
Remote, United States
🔍 What we're looking for: Humata Health Inc. is seeking an experienced Senior Backend Software Engineer to lead our efforts in modernizing our existing healthcare technology solutions. In…
Added 8 mins ago
G
Water-Wastewater Engineer
GPAC
Raleigh, NC
- $80,000 to $125,000 USD / year
Partnership/equity potential for senior-level candidates
Added 11 mins ago
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Lead Principal Application Software Engineer
Oracle
Nashville, TN
- $104,600 to $264,100 USD / year
Technical Strategy & Engineering, within Oracle’s Corporate Systems and Strategy organization, is seeking a Lead Principal Application Software Engineer (IC5) to lead engineering practices…
Added 11 mins ago
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Senior Systems Engineer
Modern Technology Solutions Inc
Colorado Springs, CO · Colorado Springs
- $180,000 to $200,000 USD / year
Modern Technology Solutions, Inc. (MTSI) is seeking a systems engineer who has achieved an expert level of subject-matter expertise who is recognized nationally for thought-leadership and…
Added 11 mins ago
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DevOps Infrastructure Engineer Lead
Insight Global
Tampa, FL
- From $76 USD / hour
Provides technical leadership and Level 3 escalation support for enterprise infrastructure, including Azure and AWS services, Kubernetes platforms, Windows and Linux systems, identity and…
Added 14 mins ago
Industrial Engineer 2 - Supply Chain - West Coast Omni Center
Nordstrom Inc
Riverside, CA
At Nordstrom, we strive for engineering excellence and the Industrial Engineer 2, Supply Chain contributes to that by applying industrial engineering discipline on both established and new…
Added 16 mins ago
Lead Data Engineer
Docusign
San Francisco, CA · Seattle, WA
…documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using the Docusign AI-native IAM platform, companies can…
Added 16 mins ago
Sr CRM Account Executive - Federal
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 16 mins ago
Sr CRM Account Executive - Federal
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 16 mins ago
Sr CRM Account Executive - Federal
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 16 mins ago
AI and DSP Applications Software Engineer
ON, CA
Design and develop processing frameworks running on Android, Linux, and other high-level operating systems as well as the AI Processor to enable AI-based multimedia use cases and hardware…
Added 17 mins ago
Senior Architect Data Engineer (Databricks) - Contractor - US
Object Edge
Walnut Creek, CA
As a Senior Architect in the Databricks practice, you will bring your broad experience in architecture
Added 17 mins ago
Applied AI Architect, International Policy
Anthropic
San Francisco, CA · New York City, NY · Washington, DC
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly…
Added 17 mins ago
Applied AI Architect, Democratic Partnerships
Anthropic
San Francisco, CA · New York City, NY · NY
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly…
Added 17 mins ago
TT
Senior Software Engineer, Customer Studio Backend
True Talent Solutions Partners
Remote, United States
- $180,000 to $320,000 USD / year
- Senior-level experience, with a track record of increasing scope and responsibility.
Added 19 mins ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
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…
Added 20 mins ago
Senior DevSecOps Engineer (Contingent)
Mile Two, LLC
Dayton, OH
…of opportunities to advance your career. If you're ready to level up your career and be part of something special, check out our current openings and apply…
Added 20 mins ago
Product Development Engineer – Wiper/Washer (Subject Matter Expert)
Ford
Dearborn, MI · Dearborn
A role for Wiper and Washer Systems within Global Body Exterior Ornamentation team responsible for technical content, strategy & processes. In this role, you will serve as the Subject…
Added 22 mins ago
Manager, Engineering
Priority Technology Holdings, LLC
Remote, United States
…hold the technical bar in any conversation - and the team's senior engineer would say so. AI-native practice is a team standard with expectations, not an encouraged…
Added 25 mins ago
Lead Propulsion Integration Engineer
Odys
Long Beach, CA
This is a hands-on senior technical role. You will act as the aircraft-level technical authority for propulsion integration and the primary focal point for external suppliers and the…
Added 27 mins ago
QA Automation Engineer
DRB
Akron, OH
The Quality Assurance Automation Engineer I is a key contributor to ensuring overall hardware and software quality through proven test automation practices. The role includes working…

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 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 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 (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 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.

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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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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