AI & Data Platform Engineering Manager

• Lead the AI/LLM Platform and MLOps engineering team delivering the enterprise AI platform
• Provide technical guidance on LLM and generative AI architectures, including the LLM gateway, model routing, and agent/workflow orchestration
• Oversee integration of ML models and AI capabilities into enterprise systems and business platforms
• Establish validation, verification, and compliance processes
• Manage resourcing, budgeting, schedules, and risk mitigation
• Mentor senior engineers and technical leads
• Drive AI/LLM platform capability development and own the long-term technical roadmap
• Lead multi-team engineering operations in a hybrid environment
• Participate in integration events, customer reviews, and working groups
• Travel up to 20% for program execution and external coordination
• Provide technical escalation support for complex ML challenges

• Bachelor’s degree in computer science, mathematics, statistics, engineering, or related STEM field
• 6-8+ years of experience in AI/ML or software engineering
• 2+ years in a management role
• Relevant experience can substitute for required educational qualifications; without a degree, minimum 13 years of related experience is required
• Higher level relevant degree may substitute for experience
• Demonstrated success leading engineering teams and delivering complex technical programs
• Expertise in generative AI/LLM techniques
• Familiarity with supervised and unsupervised ML for data platform use cases
• Experience architecting and optimizing ML pipelines and high-performance systems
• Strong understanding of security, compliance, and data governance requirements, including CMMC and data classification
• Ability to drive cross-functional execution across software, data, and business platform teams
• AWS Machine Learning Specialty, Google Professional ML Engineer, Azure AI Engineer Associate, or equivalent hands-on experience with a major cloud AI/ML platform
• CMMC/NIST SP 800-171 awareness or equivalent compliance training
• U.S. citizenship, lawful permanent residence, protected individual status, or eligibility to obtain required U.S. government authorizations

Demonstrates expertise in leading AI/LLM platform development and MLOps engineering, with a strong focus on generative AI architectures and compliance processes. Proven ability to manage engineering teams, drive cross-functional execution, and oversee complex technical programs.

• AI/ML Engineering Leadership
• Generative AI/LLM Expertise
• ML Pipeline Architecture
• AWS Machine Learning Specialty
• CMMC Compliance Awareness

• AI/ML Engineering
• Generative AI Techniques
• ML Pipeline Optimization
• Data Governance
• Model Routing
• Workflow Orchestration
• Validation and Verification Processes
• Risk Mitigation
• Technical Roadmap Development
• Cross-Functional Execution

• Mentoring
• Technical Guidance
• Collaboration
• Problem Solving
• Communication

• AWS Machine Learning Specialty
• Google Professional ML Engineer
• Azure AI Engineer Associate
• CMMC/NIST SP 800-171 Compliance Training

• AI Platform
• LLM Gateway
• Hybrid Environment
• Data Classification
• Compliance Standards

• AWS
• Google Cloud
• Azure
• MLOps Tools
• Enterprise Systems