Job Description/Preferred Qualifications
The AI Manager leads a team of engineers delivering AI enabled products and platforms that drive measurable business outcomes. This role combines people leadership, technical oversight, and delivery accountability, ensuring AI solutions are built responsibly, operate reliably in production, and align with enterprise priorities. The manager partners closely with product, data, platform, security, and business stakeholders to translate opportunities into scalable AI solutions.
Key Responsibilities
Manage and grow a team of AI engineers, ML engineers, and/or software engineers working on AI initiatives.
Set clear goals, expectations, and success metrics; conduct regular 1:1s, performance reviews, and career development planning.
Coach team members on technical excellence, delivery discipline, and responsible AI practices.
Own delivery of AI and GenAI initiatives from concept through production, ensuring scope, timelines, and quality standards are met.
Guide teams in building productiongrade AI systems, including data pipelines, model training, LLM applications, deployment, and monitoring.
Balance experimentation with operational rigorensuring solutions are scalable, secure, and supportable.
Provide architectural and design guidance for:
ML pipelines and model lifecycle management
LLM applications (e.g., RAG, agents, copilots, tool/function calling)
Integration of AI services into enterprise applications
Review designs and key technical decisions; ensure alignment with platform standards and best practices.
Partner with data, cloud, and platform teams to ensure AI solutions align with enterprise architecture.
Collaborate with security, legal, and governance teams to ensure responsible AI, privacy, and compliance requirements are met.
Communicate status, risks, and outcomes clearly to leadership and stakeholders.
Ensure AI systems meet standards for reliability, monitoring, cost management, and incident response.
Establish guardrails for responsible AI: data privacy, model risk, transparency, bias awareness, and auditability.
Drive continuous improvement through retrospectives, metrics, and adoption of best practices.
Preferred / Nice to HaveExperience managing teams building LLMbased applications or GenAI platforms.
Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) and modern data stacks.
Exposure to MLOps practices, model monitoring, and AI governance frameworks.
Experience delivering AI solutions in enterprise domains such as manufacturing, supply chain, finance, or customer operations.
Core Competencies
People Leadership: coaching, feedback, performance management, hiring
AI Delivery: ML lifecycle, LLM applications, production readiness
Technical Judgment: architecture reviews, tradeoff decisions
Execution: roadmap planning, dependency management, risk mitigation
Collaboration: product partnership, stakeholder communication
Responsible AI: security, privacy, governance awareness
Minimum Qualifications
Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience).
10+ years of experience in software engineering, ML/AI engineering, or applied data roles.
4+ years of people management experience leading technical teams.
Strong understanding of AI/ML systems and how they are built, deployed, and operated in production.
Handson background with modern engineering practices (APIs, CI/CD, testing, observability).
Ability to communicate effectively with both technical and nontechnical stakeholders.
Base Pay Range: $114,100.00 - $194,000.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA
KLAs total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
