AI Technical Architect

SRS Consulting Inc; San Jose (CA); Hybrid; USD 180,000 - 230,000; Full time

Job summary

SRS Consulting Inc. is seeking an experienced AI Technical Architect to lead enterprise GenAI, LLM, RAG, and Agentic AI solutions. The role requires strong hands-on skills in ML, NLP, Python, and architecture, with the ability to guide teams and deliver POCs and roadmaps.

The position offers hybrid work with 2 days on-site, focusing on solution design, stakeholder collaboration, and integration with cloud platforms across enterprise applications and databases.

Qualifications

• 8+ years of software/AI/ML/architecture experience.
• Strong hands-on experience with LLMs, GenAI, RAG, and Agentic AI.
• Machine Learning and NLP experience.
• Experience with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or similar.

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.

Skills

LLM

GenAI

RAG

Agentic AI

ML

NLP

Python

Solution Architecture

Cloud

Tools

LangChain

LangGraph

Semantic Kernel

Vector Databases

Job description

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.
• 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 GCP.
• Excellent communication and stakeholder management skills.

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