Jobs in the United States

25+ jobs

Save this search

Added 3 mins ago
O
Lead Principal Application Software Engineer
Oracle
Nashville, TN
- $104,600 to $264,100 USD / year
Define cross-team API governance, versioning, interoperability, and dependency management practices. Lead modernization and migration decisions with clear compatibility and deprecation…
Added 3 mins ago
IG
Workday Financials Boomi Connector Architect
Insight Global
Tampa, FL
- From $68 USD / hour
The architect serves as the technical bridge between Workday and the Boomi iPaaS and API gateway teams, defining reusable integration patterns, canonical data models and end-to-end flows…
Added 3 mins ago
IG
Workday Financials Architect
Insight Global
Tampa, FL
- From $68 USD / hour
Strong understanding of integration patterns (batch, API-led, event-driven, file-based) and data formats (XML, JSON, XSLT, CSV).
Added 3 mins ago
IG
Workday Financials Business Analyst
Insight Global
Tampa, FL
- From $57 USD / hour
Experience documenting integration requirements and data mappings (EIB, Core Connector, Studio, web services, RaaS) and working with integration developers.
Added 6 mins ago
Senior Mobile Software Engineer
Picarro, Inc
Santa Clara, CA
Use AI-assisted development tooling to prototype and iterate quickly on UI and integration work.
Added 8 mins ago
Automation Tester
Cayuse Holdings
Sacramento, CA
…building robust automated testing solutions for functional, API, and user interface (UI) layers while ensuring seamless integration into our Continuous Integration/Continuous Deployment…
Added 9 mins ago
Applied AI Architect, Democratic Partnerships
Anthropic
San Francisco, CA · New York City, NY · NY
Work directly with partner technical teams to build and ship Claude deployments. Guide their setup, architecture, and integration as they build with Claude Code and the Claude API.
Added 11 mins ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Added 12 mins ago
Engineer
Scotiabank
Dallas, TX
Assess data readiness, integration dependencies, and technical feasibility; build focused prototypes to validate assumptions before production implementation.
Added 22 mins ago
Sr. Product Manager, L&I
Datavant
Remote, United States
5+ years of product management experience, with a proven record of leading complex, enterprise-grade, data-centric B2B SaaS products, ideally platform, API, or integration products.
Added 24 mins ago
Sr. Product & Alliances Counsel
Rubrik Job Board
United States
…own products, including OEM and embedded-software agreements, API and platform access agreements, inbound technology and data licenses, AI model and foundation-model access agreements, SDK…
Added 25 mins ago
Senior Software Engineer (ICAM / Zero Trust)
CACI
Hanover, MD · MD · Elkridge
In this role, you will contribute to the design, development, integration, and deployment of solutions that support modern Zero Trust architectures. You'll work alongside talented engineers…
Added 28 mins ago
AI Solutions Developer
Fairfield University
Fairfield, CT
The AI Solutions Developer designs, builds, tests, and supports modern software solutions that use AI, web, and cloud technologies to meet the needs of faculty, staff, and students. This…
Added 31 mins ago
Senior Solution Architect
Cognite - AI for Industry
United States
Design integration and data model using Cognite data connectors, SQL, Python/Java and Rest APIs
Added 32 mins ago
IG
COPY - Senior ERP Developer - REMOTE
Insight Global
Remote, United States
- From $94 USD / hour
Insight Global is seeking a highly skilled Senior Infor M3 ERP / Infor CloudSuite Developer to lead the design, development, integration, and support of business-critical solutions within…
Added 33 mins ago
CI
Senior Azure Application Developer (Cloud-Native) - Hybrid
Citizant Inc
Washington, DC
- $127,000 to $140,000 USD / year
Strong experience with C#/.NET, API development, and integration frameworks.
Added 35 mins ago
Forward Deployed Engineer, AWS Forward Deployed Engineering
Amazon Web Services, Inc.
Boston, MA · Seattle, WA · New York, NY · East Palo Alto, CA · San Francisco, CA
…agentic workflows - retrieval pipelines, workflow automation, API orchestration layers, data integration. Solve difficult problems with visible risks or roadblocks, bringing clarity and…
Added 36 mins ago
Sr Software Engineer, Retail & Marcom Engineering
Apple
Cupertino, CA · Sunnyvale, CA
Experience in API design and implementation, including proficiency in RESTful API principles, gRPC, GraphQL, contract-first design (e.g. OpenAPI/Swagger, Protobuf, etc.), API versioning…
Added 36 mins ago
IT Tech Lead -Revenue Cycle Applications
OhioHealth Corporation
WORK AT HOME, OH
Project work may include application development, API tooling, and system design to enable external applications with database secure access to RDBMS or No SQL, and related tasks.
Added 36 mins ago
Director, Active Directory Engineering
United Services Automobile Asn
United States
…engineering capabilities, strengthening directory security, identity integration, and access…
Added 42 mins ago
Sr Platform Engineer
Mayo US
Rochester, MN
Under the direction of the Director – Platform Technology and the Principal Platform Integration Engineer, this team member will support the direct execution and delivery of technical…
Added 42 mins ago
Lead Software Test Automation Engineer
Wolters Kluwer DXG U.S., Inc.
Coppell, TX
…lead an enterprise-grade test automation strategy across UI, API, data, integration, and platform layers while evolving our quality engineering capabilities for AI and agentic systems. This…
Added 44 mins ago
S
AI Systems Design Architect, Vice President
SSB&T
Quincy, MA
- $120,000 to $217,500 USD / year
Expertise in API architecture, microservices, distributed systems, event-driven patterns, enterprise integration, and platform design.
Added 44 mins ago
S
AI Systems Design Architect, Vice President
SSB&T
Quincy, MA
- $120,000 to $217,500 USD / year
Expertise in API architecture, microservices, distributed systems, event-driven patterns, enterprise integration, and platform design.
Added 45 mins ago
Pentesting Engineer
Bechtel Corporation
Glendale, AZ

Senior AI Software Developer & Engineer (US Citizen)

Remote, United States

Apply

Applications open in a new tab.

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

Apply

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

Apply

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

Report this job