Engagement Lead Architect

Hitachi • Dallas, TX

13d

About The Position

The Engagement Lead Architect leads client engagements that move enterprises from AI ambition to agents in production. The role owns the client relationship, architecture direction, and business outcomes while leading a small senior team of architects, engineers, and consultants. Engagements begin with consulting activities—assessment, shaping, and prototyping—and progress to delivery once a use case is proven.

The role aligns executive sponsors on goals, success measures, scope, and decision rights; assesses client data, analytics, and AI landscapes; prioritizes agent use cases; and guides prototypes and build-versus-buy decisions. It presents a delivery recommendation with scope, team, plan, and value case. During delivery, it serves as design authority for data, context, and agent architecture; leads delivery governance and value measurement; ensures security and controls are in place before agents interact with business systems; and coaches the team while developing the client relationship.

Requirements

• 15+ years of experience in data, analytics, and AI.
• At least 5 years leading client-facing programs for large enterprises.
• Hands-on architecture depth on Databricks or a similar platform, including technologies such as Unity Catalog, Genie, Mosaic AI / Agent Bricks, and MLflow.
• Experience with at least one hyperscaler: AWS, Azure, or Google Cloud.
• At least one GenAI or agent solution taken into production, including evaluation, guardrails, and access controls.
• Strong grasp of semantic layers, business glossaries, ontologies, and knowledge graphs, and how agents use them through tools and MCP.
• Executive presence and ability to frame choices for senior leaders and secure decisions.
• Commercial judgment in scoping, estimation, and change control.

Nice To Haves

• Manufacturing, automotive, or supply-chain industry experience.
• Databricks or cloud professional certifications.
• Experience with agent observability, AI FinOps, agent registries, or gateways.
• Prior consulting or professional-services leadership.

Responsibilities

• Align executive sponsors on goals, success measures, scope, and decision rights.
• Assess client data, analytics, and AI landscapes, including platforms, data readiness, semantics, governance, and operating model.
• Shape and prioritize a portfolio of agent use cases based on value, data readiness, and risk, and recommend where to start.
• Steer a working prototype and make build-versus-buy decisions across hyperscaler, lakehouse, open-source, and partner options.
• Present a go/no-go recommendation for delivery, including scope, team, plan, and value case.
• Serve as design authority for data, context, and agent architecture.
• Run delivery governance, including planning, RAID, status, steering committees, and change control.
• Own the value case, including baselines, KPIs, and reporting results against the baseline.
• Ensure security, identity, entitlements, evaluations, and human approval are in place before agents act on business systems.
• Coach the team and grow the client relationship through evidence-based next steps.

Benefits

• Industry-leading benefits, support, and services for holistic health and wellbeing.
• Flexible arrangements, depending on role and location.
• Autonomy, freedom, and ownership.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed