Jobs in the United States

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Added 1 min ago
RM
Mechanical Engineer
Re:Build Manufacturing
Rochester, NY
- $97,000 to $145,000 USD / year
We operate an advanced, end-to-end manufacturing platform that partners with industrial companies and innovators to take products from first concept to full-scale production in critical…
Added 2 mins ago
Middle/Senior MarTech Engineer (Adobe)
Exadel Inc (Website)
United States
We are looking for a Middle/Senior MarTech Engineer (Adobe) with strong hands-on experience across the Adobe Experience Cloud ecosystem, particularly Customer Journey Analytics (CJA), Adobe…
Added 2 mins ago
GTM Engineer
Vendasta
Boca Raton, FL
You work comfortably with APIs, webhooks and an automation platform
Added 4 mins ago
Senior Manufacturing Engineer – CNC Metrology & Probing Integration
GE Gas Turbines (Greenville) L.L.C.
United States
Experience with at least one major CNC control platform such as Fanuc, Siemens, Okuma, or Haas.
Added 5 mins ago
AP
Senior Software Engineer - Lead Platform
A Place for Mom
Remote, United States
- $160,000 to $190,000 USD / year
We are seeking a proactive and highly skilled Senior Software Engineer to join our high-impact Lead Platform engineering team. This team designs and scales the mission-critical systems…
Added 10 mins ago
CI
IT Systems Engineer
CATAWBA INDIAN NATION
Rock Hill, SC
- $110,000 to $126,000 USD / year
The Systems Engineer is responsible for the administration, maintenance, security, availability, and continued improvement of the Catawba Nation’s on-premises and cloud-based technology…
Added 10 mins ago
Senior Principal Embedded Engineer, AI Solutions
Autodesk
Remote, United States
Autodesk Technical Advisory is seeking a highly technical and customer-focused Senior Principal Embedded Engineer, AI Solutions to join our new Embedded Engineering (forward-deployed…
Added 10 mins ago
Application Engineer
ALLIENT INC
Williamsville, NY · Rochester, NY
Allient Inc. is in growth mode and currently seeking an Application Engineer to join our team in Rochester, New York!
Added 11 mins ago
WD
Staff Machine Learning Engineer
Walt Disney Pictures
Burbank, CA
- $158,100 to $211,900 USD / year
The Staff Machine Learning Engineer is part of the Creative Technology Platform organization within Studio Technology. This role leads applied deep learning work in computer vision and…
Added 13 mins ago
Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer
ewminds consulting Services
Jersey City, NJ
(SVP) Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer)
Added 13 mins ago
Vice President – Full Java Stack Engineer
ewminds consulting Services
New York, NY
The Vice President, Project Manager is responsible for leading client onboarding, platform implementation, and strategic enhancement initiatives for BNY Archer Managed Account Services…
Added 13 mins ago
Senior Forward Deployed Engineer (FDE Lead
ewminds consulting Services
East Pittsburgh, PA
Lead a portfolio of forward-deployed engineering engagements across business and platform domains; define priorities, allocate resources, and ensure delivery of measurable outcomes within…
Added 13 mins ago
Full Stack Engineer
ewminds consulting Services
Clairton, PA
· Own platform resiliency: vulnerability management, compliance to enterprise resiliency initiatives, root-cause analysis, problem management, and continuous service improvement
Added 13 mins ago
Senior Pre-Sales Infrastructure/Network Design Engineer
ewminds consulting Services
New York, NY
Dashboard and Platform Optimization: Improve dashboard usability, information presentation, navigation, and consistency across complex applications.
Added 13 mins ago
Vice President – Full Java Stack Engineer
ewminds consulting Services
Pittsburgh, PA
We are seeking a Vice President – Full Stack Engineer to join a mission-critical engineering team supporting a high-performance, regulated enterprise platform. This is a hands-on…
Added 14 mins ago
OA
Senior Infrastructure Software Engineer
Overland AI
Seattle, WA
- $200,000 to $240,000 USD / year
We are looking for a senior backend or full-stack software engineer to join our infrastructure team in a role that sits at the intersection of software engineering, developer experience,…
Added 15 mins ago
Cloud Engineer I
The University Of Texas At Dallas
TX
The Enterprise Cloud & Infrastructure Services team is seeking a motivated Cloud Engineer I to help deploy, secure, and operate production workloads across AWS, Microsoft Azure, and Google…
Added 16 mins ago
Software Development Engineer II, Client Engineering
Amazon.com Services LLC
Seattle, WA
We are building the next generation of Client Engineering capabilities: an autonomous fleet management platform that can understand endpoint state, identify risks and drift, make…
Added 16 mins ago
Data Engineer, SPTC
Amazon.com Services LLC
Austin, TX · Seattle, WA · Irving, TX
…anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional data engineer to help us develop new ways to…
Added 16 mins ago
Data Engineer, Selling Partner Trust
Amazon.com Services LLC
Austin, TX · Seattle, WA · Irving, TX
…anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional data engineer to help us develop new ways to…
Added 16 mins ago
Software Development Engineer, iOS
Audible, Inc.
Newark, NJ
As an iOS Engineer, it’s up to you to define, design and refine the tech that keeps us one step ahead of listeners. Anticipate. Innovate. Bring challenging ideas and we’ll support you with…
Added 16 mins ago
O
Lead Principal Application Software Engineer
Oracle
Nashville, TN
- $104,600 to $264,100 USD / year
…organization, is seeking a Lead Principal Application Software Engineer (IC5) to lead engineering practices and architecture. Our team modernizes corporate systems, processes, and data,…
Added 17 mins ago
WL
Staff Engineer (Virtual, Full-time)
WEALTHCOUNSEL LLC
Jersey City, NJ
- Full-time
…expand, we are seeking a motivated and driven Quality Assurance Engineer to join our…
Added 17 mins ago
IG
DevOps Infrastructure Engineer Lead
Insight Global
Tampa, FL
- From $76 USD / hour
5+ years of hands-on experience with Infrastructure as Code, automation, CI/CD, and cloud platform delivery.
Added 18 mins ago
Engineer Systems III
IGT, a Nevada Corporation
Las Vegas, NV
The Engineer Systems III oversees the architecture, development, testing, documentation, and engineering support of key production systems. The role designs scalable, reliable, and secure…

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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