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Senior AI Architect & Lead Prompt Engineer

Sunnyvale, CA, US • Posted 1 day ago • Updated 8 hours ago

Contract W2

On-site

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Job Details

Skills

PostgreSQL
GCP
AI/ML
AI
Redis

Summary

Job Title: Senior AI Architect & Lead Prompt Engineer
Location: Sunnyvale, CA

Key Responsibilities:

AI Architecture & Design: Lead the end-to-end architecture of multi-agent
systems, moving from initial concept to production-grade deployment on Google
Cloud Platform (Google Cloud Platform).
Prompt Engineering & Orchestration: Develop sophisticated prompt
engineering frameworks, including system prompts, few-shot templates, and
output guardrails. Utilize Chain-of-Thought (CoT) prompting and structured
prompt chains for complex reasoning tasks.
Intelligent Dialog Systems: Design conversational interfaces using Dialogflow
and Gemini-powered agents to manage inquiry routing and automated workflow
orchestration.
System Integration: Architect integrations between LLM platforms (Vertex
AI/Gemini) and enterprise CRM/ITSM tools like Salesforce and ServiceNow,
specifically focusing on Telecom-grade inquiry response and ticketing workflows.
RAG & Knowledge Retrieval: Build and optimize RAG (Retrieval-Augmented
Generation) pipelines grounded in internal client policies and technical
documentation.
MLOps & Deployment: Oversee the deployment of microservices using GKE
(Google Kubernetes Engine), Cloud SQL, and Cloud Build, ensuring scalable
and reliable AI performance.

Required Core Expertise:

LLM Stack: Deep expertise in Gemini, Vertex AI, and LangChain or
LlamaIndex.
Enterprise Integration: Proven experience architecting AI solutions that
interface with Salesforce and ServiceNow within a Telecom or large enterprise
context.
Agentic Systems: Experience building multi-agent architectures for autonomous
task execution and workflow automation.
Data & Search: Mastery of hybrid search, reranking, and vector databases (e.g.,
Redis, PostgreSQL).

Qualifications:

Experience: 10+ years in the AI stack, ranging from classical NLP/NLU to
modern generative AI architectures.
Education: B.Tech in Computer Science, Mathematics, or a related technical
field.
Technical Proficiency: Strong command of Python, Terraform IAC, Docker, and
the Google Cloud Platform ecosystem (GKE, Cloud Deploy).
Industry Knowledge: Demonstrated understanding of the Service Now,
Salesforce, Net Cracker in Telecommunications service lifecycle, specifically
regarding inquiry management and automated support.

Tools & Platforms:

AI/ML: Gemini, Vertex AI, Hugging Face, OpenAI, Claude.
Frameworks: LangChain, LlamaIndex, Dialogflow.
Cloud & Infra: Google Cloud Platform (GKE, Cloud Build), Docker, TensorRT.
Data: Cloud SQL, PostgreSQL, Redis.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10106248
Position Id: 2026-4302
Posted 1 day ago

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