SAIC · 1 week ago
AWS AI Team Lead
United States
Full-time
Remote
Senior Level, Lead/Staff
$160K/yr - $200K/yr
8+ years expSAIC is 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. This role provides technical and delivery leadership for a multi-disciplinary team building scalable, secure, and reusable AI/ML workflows on AWS services.
Information TechnologySecurityService IndustrySoftware
No H1B
U.S. Citizen Only
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
Qualification
Required
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)
Preferred
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
Company
SAIC
SAIC specializes in IT, enterprise IT, engineering, and professional services.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$522.13MKey Investors
U.S. Geothermal
2025-09-22Post Ipo Debt· $500M
2010-09-13Post Ipo Equity· $22M
2006-10-13IPO
Leadership Team
Robert Fecteau
IT Advisor to CEO
Prabu Natarajan
Chief Financial Officer
Recent News
2025-12-16
2025-12-16
2025-12-05
Company data provided by crunchbase