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Tech Lead AI Engineer ​/ Tech Lead Prompt Engineer

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: CLOUDSUFI
Full Time position
Listed on 2026-08-03
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 230000 USD Yearly USD 180000.00 230000.00 YEAR
Job Description & How to Apply Below

Tech Lead AI Engineer / Tech Lead Prompt Engineer

Location:
Sunnyvale, CA (Bay Area)

About the Role

Cloud Sufi is seeking an experienced Tech Lead AI Engineer / Tech Lead Prompt Engineer to lead the design, architecture, and delivery of enterprise-scale Generative AI solutions for a strategic telecommunications client. This hands-on leadership role focuses on building production-ready AI platforms powered by Large Language Models (LLMs), agentic AI, and Google Cloud technologies.

Key Responsibilities

  • Lead the architecture, design, and deployment of enterprise Generative AI applications on Google Cloud Platform (GCP).
  • Design and build scalable multi-agent AI systems for workflow automation and intelligent decision-making.
  • Develop advanced prompt engineering strategies, including system prompts, few-shot prompting, prompt chaining, and response guardrails.
  • Build conversational AI solutions using Gemini and Dialogflow.
  • Integrate Vertex AI, Gemini, Salesforce, Service Now, Netcracker, SAP, and other enterprise platforms.
  • Design and optimize Retrieval-Augmented Generation (RAG) solutions.
  • Build production-ready AI services using GKE, Docker, Cloud Build, and Cloud SQL.
  • Collaborate with business and engineering teams to deliver AI solutions.
  • Establish AI best practices and mentor engineering teams.

Required Skills

  • Lang Chain, Llama Index, Dialogflow, Agentic AI frameworks
  • Enterprise AI architecture and production LLM applications
  • Salesforce, Service Now, Netcracker, SAP integrations
  • RAG, vector search, semantic search, hybrid search, reranking
  • Leadership, communication, and stakeholder management

Preferred Qualifications

  • Telecommunications or large enterprise AI experience
  • Experience leading AI engineering teams
  • Enterprise workflow automation expertise
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