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Job ID: 2600149 Location: REMOTE WORK, VA, US Date Posted: 2026-01-07 Category: Engineering and Sciences Subcategory: Machine Learning Engineer 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: Yes 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.