AI / GenAI Architect / Sr. Lead (Contract)

TechDigital Group; California; Hybrid; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

TechDigital Group in California seeks an experienced AI / GenAI Architect / Sr. Lead to design, implement, and deliver enterprise-scale Generative AI and Agentic AI solutions.

You will own the architecture end-to-end, collaborate with business and technical stakeholders, and provide technical leadership to offshore teams while ensuring successful production adoption. The role requires hands-on leadership in LLM selection, agent design, RAG frameworks, integrations, governance, and evaluation,

Qualifikationen

• Experience architecting end-to-end GenAI/Agentic AI solutions.
• Proven ability to lead offshore teams and production adoption.
• Healthcare industry experience is a plus.

Aufgaben

• Lead end-to-end GenAI solution architecture and implementation.
• Drive deployment, adoption, and measurement of business outcomes.
• Collaborate with business, IT, security and engineering teams.

Kenntnisse

Agentic AI systems design

LLM integration

Python

Vector databases

Azure AI Foundry / AI platforms

Tools

Azure AI Foundry

RAG frameworks

Observability tooling

Jobbeschreibung

Overview

We are seeking an experienced AI / GenAI Architect / Sr. Lead to drive the design, implementation, and delivery of enterprise-scale Generative AI and Agentic AI solutions. This role will lead end-to-end architecture, collaborate with business and technical stakeholders, and provide technical leadership to offshore teams while ensuring successful production adoption.

Key Responsibilities

• Assess business processes, systems, and data landscapes to identify high-impact GenAI opportunities.
• Design and own end-to-end AI solution architecture, including LLM selection, agent design, RAG frameworks, integrations, security, governance, and evaluation methodologies.
• Lead hands-on implementation efforts and establish engineering and prompt-engineering best practices.
• Collaborate with business, IT, security, and engineering teams to align objectives and manage delivery risks.
• Drive successful deployment, adoption, and measurement of business outcomes through AI solutions.

Required Skills

• Strong experience architecting and implementing Agentic AI systems using LLMs, LangGraph, MCP, and RAG.
• Expertise in Python, data ingestion/retrieval, vector databases, and AI application development.
• Hands-on experience with Azure AI Foundry, Azure AI Services, or similar AI platforms.
• Deep understanding of observability, governance, reliability, workflow orchestration, and context/memory engineering.
• Healthcare industry experience.

Additional Details

Candidate will work closely with offshore teams, providing technical guidance, reviewing deliverables, and taking ownership of overall project success.

Background verification clearance is required before onboarding.

Ideal Candidate

Ideal Candidate: A hands-on AI leader who combines strategic architecture expertise with practical implementation skills and a proven track record delivering enterprise GenAI solutions.