Lead - AI/ML Engineer (Generative AI Agent Systems)

We are seeking a Principal Consultant AI/ML Lead to head our Generative AI initiatives and serve as the core Subject Matter Expert (SME) for our enterprise service and consulting practice. In this strategic, client-facing role, you will lead the architectural design, advisory, and execution of high-impact AI agent ecosystems for our enterprise clients.

Key Responsibilities

1. Strategic AI Leadership SME Advisory

   • Act as the primary Subject Matter Expert (SME) on Generative AI, LLM reasoning patterns, and autonomous agent frameworks for Professional services and enterprise clients.

   • Translate complex business requirements from client stakeholders into rigorous technical blueprints, leading pre-sales technical discoveries and high-level architectural assessments.

   • Establish delivery playbooks and reusable patterns to standardize how our consulting firm deploys agentic workflows across different client industries.

2. Core Agent Reference Architecture Framework Design

   • Own the technical vision for the core Go harness pattern, leveraging the Vertex AI Agent Development Kit (ADK) to build a robust, production-ready framework for agents.

3. Per-Agent Specification Delivery Oversight

   • Lead the detailed design specifications for agents, establishing structural tool definitions (Function Calling), systemic prompt engineering, and input-context data models.

   • Define clear graduated-autonomy criteria, ensuring a balance between autonomous agent execution and human-in-the-loop (HITL) exception handling.

   • Establish robust distributed systems patterns, ensuring strict idempotency strategies and canonical event envelopes across bounded contexts.

4. Evaluation, Safety, Governance

   • Design and implement a continuous shadow-mode evaluation harness to validate agent performance against live production data without triggering real-world side effects.

   • Set precision/recall thresholds and safety-critical misclassification test suites required for production graduation.

   • Partner with the client s Agent Governance Board to advise on SOA tier classifications, model-version-pinning strategies, and continuous model/drift monitoring.

   • Oversee or directly build the initial shadow-mode Proof of Concept (PoC) for the first designated agent to accelerate project kickoff.

Qualifications

• Consulting Client Leadership: Proven experience working in a professional services or IT consulting firm, with a track record of leading technical delivery teams and managing senior client stakeholders (CTOs, VPs of Architecture).

• Production Agent Systems Expertise: Deep, hands-on experience deploying production-grade, multi-agent frameworks, LLM-backed reasoning loops (Gemini), and autonomous workflows.

• Google Cloud Ecosystem Mastery: Expert-level familiarity with the Vertex AI suite (Agent Engine, Agent Development Kit, Tuning, Vector Search) and hardened enterprise GCP security architectures (VPC Service Controls, IAM, Pub/Sub).

• Software Engineering: Advanced backend proficiency in Go (Golang) with a strong background in highly concurrent, distributed, and event-driven systems.

• Regulated AI Safety: Clear appreciation for operating within highly regulated industries (e.g., healthcare, finance, public sector) where data compliance, deterministic auditing, and strict security perimeters are non-negotiable.

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