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 Requirements 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 Core Competencies 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. Highest-signal resume keywords AI/ML Engineering Leadership Generative AI/LLM Expertise ML Pipeline Architecture AWS Machine Learning Specialty CMMC Compliance Awareness Hard Skills 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 Soft Skills Mentoring Technical Guidance Collaboration Problem Solving Communication Certifications & Qualifications AWS Machine Learning Specialty Google Professional ML Engineer Azure AI Engineer Associate CMMC/NIST SP 800-171 Compliance Training Industry Keywords AI Platform LLM Gateway Hybrid Environment Data Classification Compliance Standards Tools & Technologies AWS Google Cloud Azure MLOps Tools Enterprise Systems #J-18808-Ljbffr Jobtailor