Senior AI Agentic Lead - On-Site & Automation Architect

Vidorra Consulting Group; Mountain View (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Vidorra Consulting Group is seeking a seasoned technical expert to lead deployments of AI agent workflows in Mountain View, California. This role demands over 10 years of software engineering experience, with a strong focus on AI and LLM systems. You will work directly with clients, identifying needs and automating tasks to enhance efficiency.

Applicants must demonstrate hands-on capabilities in coding and deployment, as well as solid experience in designing intelligent systems that utilize multi-step reasoning.

Qualifications

• 10+ years of software engineering, with 2–3 years focused on AI/LLM systems.
• Hands-on experience in building, coding, and deploying projects.
• Experience with agentic frameworks and production LLM patterns.

Responsibilities

• Serve as the primary technical contact for clients on-site.
• Design and deploy AI agent workflows and identify automation opportunities.
• Collaborate and iterate with client stakeholders to validate outputs.

Skills

Software engineering experience

AI/LLM-based systems

Hands-on coding and deployment

Designing multi-step reasoning systems

Python proficiency

Strong communication skills

Tools

LangChain

LangGraph

OpenAI Agents SDK

Job description

What You'll Do

Serve as the primary technical point of contact for the client, embedded on-site

Design, build, and deploy AI agent workflows across engineering and other use cases e.g. PR review and acceleration, test generation, incident correlation & RCA, knowledge graphs, support triage, documentation refresh, etc.

Get trained on client-specific tools, platforms, and engineering processes, then cascade that knowledge to the Global team

Lead sprint-based delivery across a distributed team setting technical standards, reviewing outputs, and unblocking issues

Collaborate with the client's stakeholders to define scope, validate agent outputs, and iterate quickly

Work closely with other members of the team to incorporate platform knowledge into agent design

Identify automation opportunities across the developer journey and translate them into well-scoped, executable agent implementations

Operate the AI Agentic CoE governance cadence daily team sync, weekly KPI review, monthly steering with client sponsors

What We're Looking For

10+ years software engineering, 2 3 years focused on AI / LLM-based systems

Must be hands-on actively building, coding, deploying, not just directing

Proven experience designing and building agentic systems multi-step reasoning, tool use, memory, orchestration

and familiarity with other LLM providers (OpenAI, open-weight Llama / Mistral, cloud-native model platforms)

Agentic frameworks LangChain, LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, or similar

Python proficiency; APIs, data pipelines, workflow automation

Production LLM patterns RAG, evaluations, guardrails, structured outputs, function calling, prompt engineering

Enterprise client work translating ambiguous requirements into working systems

Strong communication skills

Nice to Have

Developer-platform / DevEx / SRE / observability engineering background

Identity / IAM / fraud / trust-and-safety domain exposure

Familiarity with enterprise tooling ecosystems (ticketing, dashboards, service graphs, deployment tools, observability stacks)

Prior consulting or embedded-engagement experience