We are proud winners of the Best Place to Work awards in 2025 and 2026. Aviato Consulting, founded by ex-Googlers, specializes in Google Cloud solutions. We combine deep technical expertise with the open, fun engineering culture of Google minus the bureaucracy.

We are hiring for a Lead AI Engineer who acts as the technical anchor for designing, building, and scaling artificial intelligence solutions within the Google Cloud Platform (GCP) ecosystem

What's in it for you?

Build the \"Next\" Tech: Working heavily on AI, you will be using the newest models, to build agents to solve our customers problems.
Elite Engineering Culture: Work alongside ex-Googlers and cloud experts. We prioritize clean code, high velocity shipping, and technical excellence over politics.
Pure GCP Playground: You get full access to the Vertex AI ecosystem (Gemini 3 Pro/Flash, Claude, Vector Search, Agent Engine) to build solutions.
Verified Happiness: Join a team objectively recognized as a \"Best Place to Work\" for two years running. We take culture as seriously as we take our architecture.
ESOP: Share in our success with our employee option plan

Role Description

Team Leadership & Mentorship: Lead, mentor, and scale a team of AI and software engineers, specifically guiding and mentoring junior AI engineers in best practices for agentic development.
Agentic Architecture: Design scalable, event-driven architectures for single and multi-agent systems using Google’s Gemini models and the code-first Agent Development Kit (ADK).
Team Leadership & Mentorship: Lead, mentor, and scale a team of AI and software engineers, specifically guiding and mentoring junior AI engineers in best practices for agentic development.
Client Engagement & Strategy: Act as the primary technical interface for clients, leading technical discovery sessions, gathering business requirements, and translating client objectives into production-ready architectures.
Delivery Management: Oversee sprint planning, code reviews, and cross-functional technical alignment to ensure client deliverables are met on time and to high technical standards.
Agentic Architecture: Design scalable, event-driven, multi-agent AI ecosystems on GCP utilizing the code-first Agent Development Kit (ADK).
Advanced LLM Integration & Evaluation: Build advanced agentic logic using Google Gemini models and the unified Gemini Enterprise Agent Platform. Develop sophisticated prompting strategies (ReAct, CoT) and performance evaluation frameworks utilizing the Agent Engine Evaluation Layer to demonstrate system reliability to clients.
Tooling & Enterprise RAG: Implement advanced RAG pipelines using Vertex AI Search and the Agentic Data Cloud. Connect agents securely to BigQuery, Cloud SQL, and APIs while managing persistent state and context with the Agent Platform Memory Bank.
Deployment & Scaling: Containerize and deploy production microservices using Agent Engine and Cloud Run, or self-hosted Agent Sandbox on GKE. Enforce input/output safety using Model Armor and secure traffic with the Agent Gateway to satisfy strict client security and governance requirements.

What You'll Bring to the Table:

Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Leadership & Client Experience: 2+ years of experience leading engineering teams or technical projects, with a proven track record of direct client interaction, consulting, or technical account management.
Communication Skills: Exceptional communication and presentation skills, with the ability to articulate deeply technical AI concepts to both engineering teams and non-technical client stakeholders.
Core Engineering: Expert-level Python proficiency and solid software engineering practices (CI/CD, Git, automated testing), with additional familiarity in Go, Java, or TypeScript for comprehensive ADK implementations.
Cloud Infrastructure: Proven hands-on experience building, deploying, and managing applications on GCP.
LLM Production Experience: Demonstrable history of shipping applications using LLMs, specifically Gemini models, and modern agentic frameworks such as the Google ADK.

Bonus Points:

Advanced Degree: Master's or PhD in Computer Science, AI, or Machine Learning.
Platform Expertise: Deep knowledge of the Gemini Enterprise Agent Platform, driving the transition beyond legacy pipelines to modern agent-centric observability and governance tools.
Advanced Orchestration: Success building large-scale, self-correcting, multi-step agents that plan autonomously.
Infrastructure at Scale: Experience with Agent Engine, Cloud Run, and event-driven messaging (Pub/Sub).
Certifications: Google Cloud Professional Cloud Architect or Machine Learning Engineer credentials.
Frameworks: Experience with Langraph/Langchain and various evaluation frameworks.
Data Engineering: Experience with data architecture, big data environments, and ETL pipelines.

Our Core Values:

We operate with radical transparency, believe in rigorous teamwork , prioritize continuous excellence and growth, and deliver exceptional value as dedicated client partners.

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Full-timeLead AI Engineer