Senior AI Ecosystem Lead: Generative AI & Platforms

Google LLC; Chicago (IL); On-site; USD 233,000 - 324,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement 401(k) with company match

Paid time off 20 days/year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google Cloud seeks an Ecosystem Engineering Lead to guide AI and Agentic AI Platforms, collaborating with Partners, Product Development, and Technical Sales to deliver Google Cloud AI products.

The role involves helping customers grasp AI capabilities, designing architectures, and building AI-powered applications, while guiding partners to deploy Generative AI services, including LLMs, agent platforms, and Tensor Processing Unit hardware.

Qualifications

• Bachelor’s degree in CS, STEM, or equivalent practical experience.
• 10 years as a technical Solution Architect in cloud computing, customer/partner facing.
• 5 years with LLMs, agentic frameworks, Open Source, Big Data, ML.
• 5 years with AI products, technologies, and infrastructure.
• Experience bridging technical implementation with business strategy.

Responsibilities

• Serve as trusted technical advisor to partner leadership, aligning multiyear AI roadmaps.
• Lead AI and agentic activities with strategic partners, including value realization.
• Identify opportunities with partners and lead teams to deliver proofs of concept.
• Collaborate with product, engineering, and sales to enable partner success with Google AI.
• Recommend architectures and infrastructure to deploy robust AI solutions on Google Cloud.

Skills

LLMs experience

Agentic AI

Cloud architecture

Cross-functional leadership

AI platforms

Education

Bachelor's degree in CS/Eng or related field

Master's degree in Computer Science

Tools

Kubeflow

Generative Language APIs

TPU/ML hardware

Open Source tooling

Job description

Google Cloud seeks an Ecosystem Engineering Lead to guide AI and Agentic AI Platforms, collaborating with Partners, Product Development, and Technical Sales to deliver Google Cloud AI products.

The role involves helping customers grasp AI capabilities, designing architectures, and building AI-powered applications, while guiding partners to deploy Generative AI services, including LLMs, agent platforms, and Tensor Processing Unit hardware.