• AWS AI Team Lead

    SAIC (VA)


    Description

    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.

    Key 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.

    Qualifications

    Required Qualifications:

    + **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).

    Desired Skills:

    + 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.

    REQNUMBER: 2600149

    SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability