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AI Technical Architect (California Locals)

SRS Consulting IncSan Jose, CA🇺🇸United StatesPosted Oct 2, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to architect cutting-edge enterprise AI solutions, leveraging your expertise in GenAI and LLMs to drive innovation. You'll thrive here if you possess a strong hands-on background in AI solution architecture and Python, eager to lead impactful projects within a dynamic environment.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
San Jose, CA, United States
Posted
4 days ago
AWSMachine LearningNLPAzureGoogle CloudLLMPythonStakeholder Management

Job Description

Role: AI Technical Architect

Location: San Jose CA
Work Arrangement: Hybrid 2 days a week
Duration: Long-Term Contract

Job Summary

We are seeking an experienced AI Technical Architect with a strong hands-on background in GenAI, LLMs, RAG, Agentic AI, Machine Learning, NLP, Python, and AI Solution Architecture. The candidate will be responsible for solutioning, architecture, and development of enterprise AI solutions.

Key Responsibilities

  • Design and architect enterprise GenAI, LLM, RAG, and Agentic AI solutions.
  • Work with business and technical stakeholders to understand requirements and develop AI solutions.
  • Lead technical solutioning, architecture, POCs, and implementation roadmaps.
  • Build and integrate LLM/RAG applications using Python.
  • Design AI agents, tool calling, orchestration, and multi-step workflows.
  • Integrate AI solutions with enterprise applications, databases, APIs, and cloud platforms.
  • Provide hands-on technical leadership and guide development teams.

Required Skills

  • 8+ years of software/AI/ML/architecture experience.
  • Strong hands-on experience with LLMs, GenAI, RAG, and Agentic AI.
  • Strong Python development experience.
  • Machine Learning and NLP experience.
  • Experience with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or similar.
  • Experience with vector databases and embeddings.
  • Strong solution architecture and technical solutioning experience.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Excellent communication and stakeholder management skills.

Must-Have Skills: LLM | GenAI | RAG | Agentic AI | ML | NLP | Python | Solution Architecture | Solutioning | Cloud

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