The role involves leading the design, governance, and implementation of AI-centric technology architectures across a hybrid infrastructure landscape including AWS and GCP
Job Summary
The role involves leading the design, governance, and implementation of AI-centric technology architectures across a hybrid infrastructure landscape including AWS and GCP.
Candidates must have hands-on experience developing and governing AI agents and copilots using frameworks like LangGraph and Microsoft Copilot Studio.
The position requires ensuring responsible and secure adoption of Generative AI technologies while establishing architectural standards for enterprise use cases.
Matching Summary
The role involves leading the design, governance, and implementation of AI-centric technology architectures across a hybrid infrastructure landscape including AWS and GCP.
Salary
Base: $163,200 - $244,800; Bonus/Equity: Short-term or annual bonuses and long-term incentives available; Benefits: Not specified
Skills & Requirements
Must-have
Generative AI and Agentic AI development
Google Cloud Platform (GCP) services
LangGraph LangChain and Agent Engine
Microsoft Copilot Studio experience
Cloud Security and IAM implementation
Infrastructure as Code with Terraform
Nice-to-have
Strategic architectural background
Mentorship of junior engineers
Proactive industry trend analysis
Strong stakeholder engagement skills
Experience with RAG patterns
Key Requirements
10-12 years in Engineering or Architecture disciplines
At least 2+ years in GenAI and Agentic AI development
End-to-end delivery experience of at least one GenAI project
Bachelor's or Master's degree in Computer Science or related field
Authorized to work in the US without company sponsorship
Work Rights
Must be authorized to work in the US without sponsorship