AWS AI Team Lead

SAIC

13d

About The Position

We are seeking a Team Lead for the AWS AI & GenAI Solutions Team to oversee the design, development, and delivery of advanced AI/ML and GenAI capabilities within the IRS Advanced Analytics Program (AAP). This role provides technical and delivery leadership for a multi-disciplinary team building scalable, secure, and reusable AI/ML workflows on AWS services such as SageMaker, Bedrock, Lambda, and Step Functions. The AWS AI Team Lead serves as both a hands-on technical leader and a strategic collaborator, ensuring AAP's AI/ML and LLM solutions align with enterprise architecture, governance, and mission team requirements. This role partners closely with the Chief Architect, Product Manager, and Databricks Lead to define cross-platform integration patterns and accelerate model development and deployment.

Requirements

Must be a U.S. Citizen with the ability to obtain and maintain a Public Trust security clearance
Bachelor's or Master's degree in Computer Science, AI/ML Engineering, or related technical field.
8+ years of experience in AI/ML engineering, data science, or cloud-based model development.
3+ years of leadership experience managing or mentoring technical teams.
Deep hands-on expertise with AWS SageMaker, Bedrock, and AI/ML workflows (training, fine-tuning, deployment, inference).
Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain).
Working knowledge of AWS cloud services (S3, Lambda, Step Functions, ECS/EKS).
Familiarity with MLOps concepts and CI/CD integration for AI workflows.
Experience implementing or integrating Trustworthy AI principles (bias testing, explainability, traceability).

Nice To Haves

Certifications: AWS Certified Machine Learning Specialty, AWS Solutions Architect Professional, or equivalent.
Understanding of LLM integration patterns (RAG, prompt chaining, multi-model orchestration).
Familiarity with federal compliance standards (FedRAMP, NIST 800-53) and ATO processes.
Experience building secure, API-based AI/ML services for enterprise consumption.
Excellent communication and presentation skills for both executive and technical audiences.
Ability to manage cross-functional collaboration between engineering, architecture, and customer success teams.

Responsibilities

Lead the AWS AI/LLM engineering team delivering AI/ML and GenAI solutions using SageMaker, Bedrock, and related services.
Provide technical oversight and hands-on guidance in model development, fine-tuning, deployment, and inference.
Collaborate with the Databricks, Infra, and Trustworthy AI teams to design cross-platform AI/ML workflows.
Define standards and reusable patterns for model pipelines, API integrations, and data flow between SageMaker, Bedrock, and Databricks.
Guide the development of secure, compliant architectures that meet IRS enterprise governance and ATO requirements.
Mentor AI/ML and LLM engineers, data engineers, and automation testers in technical execution and solution design.
Partner with Product Management to translate customer needs into technical roadmap items and delivery milestones.
Ensure quality, cost-efficiency, and performance of AWS AI solutions through consistent monitoring and optimization.
Support customer demos, workshops, and onboarding sessions as the technical SME for AWS AI/GenAI capabilities.
Stay current with emerging AWS and GenAI technologies, advising on their adoption and integration.