AI/ML Engineer / Lead / Architect

Job title:                                            AI/ML Engineer / Lead / Architect

Job Location:                                   Santa Clara, CA or Milford, OH

Job Type:                                          Fulltime

Roles & Responsibilities                                                                                                                                                                                                                                                                                                                                                       

• Define and drive the enterprise AI and cloud architecture strategy for strategic customer engagements.
• Lead large-scale AI transformation programs leveraging Gemini, Vertex AI, Agentic AI, and Google Cloud services.
• Establish architecture standards, governance frameworks, and AI adoption roadmaps.
• Engage with C-level executives to align technology investments with business outcomes.
• Lead architecture reviews, technical due diligence, and solution assurance activities.
• Design reference architectures, accelerators, reusable frameworks, and industry-specific AI solutions.
• Mentor architects and engineering leaders while driving technical excellence across programs.
• Collaborate with Google product, engineering, partner, and customer teams to shape strategic AI initiatives.

Technical and Functional Skills:

• Must have 15+ years of experience in enterprise architecture, solution design, and
• large-scale digital transformation programs.
• Must have deep expertise in Google Cloud Platform (Google Cloud Platform), Vertex AI, Gemini, AI Agents, and
• cloud-native architectures.
• Must have extensive experience designing Enterprise AI, GenAI, Agentic AI, RAG, and multi-agent solutions.
• Must have proven experience leading end-to-end architecture for mission-critical, scalable, and secure platforms.
• Must have expertise in distributed systems, microservices, APIs, event-driven architectures, and platform engineering.
• Must have strong experience in AI governance, responsible AI, security, compliance, and
• enterprise adoption frameworks.
• Must have experience driving executive stakeholder management, technology strategy, and
• business transformation initiatives.
• Must have experience leading global engineering teams, architects, and customer engagements across multiple industries.