Role overview
- As required by our governmental client, U.S. Citizenship is required. Ability to obtain a DoD Secret Security Clearence and IRS suitability/Public Trust (candidates with an active IRS suitability/Public Trust are preferred) ***
The AI Engineer will be a key contributor to the IRS Unified API (UAPI) initiative, focusing on building and deploying AI/ML solutions that integrate with modernized APIs and legacy systems. This role involves designing and implementing machine learning models, enabling AIdriven API development, and supporting workflows such as automated language conversion (COBOL to modern languages), model deployment, inference, and feedback loops. The engineer will collaborate with data and API teams to deliver secure, scalable, and production-ready AI capabilities aligned with IRS standards.
Compensation & Benefits
Estimated Starting Salary Range for
AI Engineer
: $110-140K
Pay commensurate with experience.
Full time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided.Benefits are subject to change with or without notice.
What we're looking for
- AI/ML Solution Development: Design, build, and optimize machine learning models for tasks such as language conversion, code generation, error detection, and automated testing.
- Model Deployment & Integration: Deploy models into production environments using tools like AWS SageMaker, GCP Vertex AI, or custom APIs (FastAPI, TorchServe); ensure operational readiness and scalability.
- API Enablement for AI Workflows: Develop APIs that support model inference, feedback loops, and integration with IRS microservices; ensure compliance with REST/GraphQL/gRPC standards.
- MLOps & Automation: Implement CI/CD pipelines for ML workflows; manage model
versioning, monitoring, and retraining using tools like MLflow, Docker, and Kubernetes.
- Data Collaboration: Work closely with data engineers to ensure high-quality datasets for training and inference; support feature engineering and data validation.
- Performance & Observability: Configure synthetic monitoring and alerts for deployed models and AI-enabled APIs using Datadog, Prometheus, or similar tools.
- Documentation & Governance: Produce clear documentation for models, APIs, and workflows; ensure alignment with IRS/Treasury IT governance and security standards.
- Innovation & Research: Explore and apply advanced techniques such as LLMs, generative AI, and Retrieval-Augmented Generation (RAG) to enhance IRS modernization efforts.
AI Engineer Experience, Education, Skills, Abilities Requested
Company Information
ATA, LLC
is a part of Cherokee Federal – the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and
serving
the government’s mission with compassion and heart. To learn more about
ATA
, visit cherokee-federal.com.
#CherokeeFederal -1
Cherokee Federal is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply.
- Machine Learning Engineer
- Applied AI Engineer
- MLOps Engineer
- AI Software Engineer
- Generative AI Engineer
Keywords
- Python / PyTorch / TensorFlow
- LLMs & Generative AI (RAG, NLP)
- MLOps (MLflow, Docker, Kubernetes, CI/CD)
- Model Deployment (SageMaker, Vertex AI, FastAPI)
- API Integration (REST, GraphQL, gRPC)
Legal Disclaimer:
All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law.
Many of our job openings require access to government buildings or military installations. Candidates must pass pre-employment qualifications of Cherokee Federal.