Forward Deployed Engineering Manager, Gen AI, Manufacturing and Conglomerate, Google Cloud
Technology, Data & Digital · Data, AI & Analytics · Artificial Intelligence · Machine Learning · Software Engineering
In short
Lead a team of AI/ML engineers bridging the gap between frontier AI products and production-grade reality for customers. Responsibilities include technical mentorship, strategic alignment, and resolving production-level obstacles for AI in enterprise environments.
Responsibilities
- Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks.
- Partner with Sales and Tech Leadership to define requirements for high-value opportunities.
- Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills.
- Identify skill gaps in emerging tech and ensure the team maintains subject matter expertise.
- Collaborate with Product and Engineering to resolve blockers and translate field insights into roadmaps.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in cloud computing or a technical customer-facing role.
- 5 years of experience managing a software engineering, FDE, or similar technical customer-facing team in a cloud computing environment.
- Experience in Python or similar coding language.
- Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or Retrieval-Augmented Generation (RAG) systems.
Desired Qualifications
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience designing end-to-end secure, observable multi-agent systems using complex design patterns.
- Experience working with manufacturing and conglomerates customers.
- Experience designing intuitive interfaces for complex AI and agentic systems.
- Experience architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
- Experience performing discovery interviews to identify business problems and translate complex constraints.
Benefits
- Access to Google's world-class AI portfolio, including frontier Gemini models and the Vertex AI platform.
- Collaborative culture with direct access to DeepMind's engineering and research minds.
- Opportunity to be a catalyst for Google Cloud's mission and drive customer success in the AI revolution.
#Gen AI#Manufacturing#Google Cloud#AI/ML#Customer-facing#Team Leadership
Company
Job Posted
1 week ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Senior
Locations
Mumbai, India
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant