AWS AI Team Lead

Job Description

Location:

REMOTE WORK, VA, United States

Schedule:

Full-time

Shift: Day Job
Travel:
No
Minimum

Clearance Required:

None
Clearance Level Must Be Able to Obtain:
Public Trust
Potential for Remote Work:
Remote

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 Sage Maker, 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.

• Lead the AWS AI/LLM engineering team delivering AI/ML and GenAI solutions using Sage Maker, 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 Sage Maker, 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.

• 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 Sage Maker, Bedrock, and AI/ML workflows (training, fine‑tuning, deployment, inference).
• Strong programming skills in Python and experience with ML frameworks (PyTorch, Tensor Flow, Hugging Face, Lang Chain).
• 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).

• 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.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

SAIC is an Equal Opportunity Employer. SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high‑end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion.

Please apply through the internal career site here >