Engagement Lead Architect at Hitachi

Job description

Function Cloud & Data Engineering Our Company We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job description You will lead client engagements that take enterprises from AI ambition to agents in production. You own the client relationship, the architecture direction and the business outcome, and you lead a small senior team of architects, engineers and consultants. Engagements start in consulting mode – assess, shape, prototype – and move to delivery once the use case is proven. What you will do: Discover and shape • Align executive sponsors on goals, success measures, scope and decision rights. • Assess the client s data, analytics and AI landscape: platforms, data readiness, semantics, governance and operating model. • Shape a portfolio of agent use cases by value, data readiness and risk; recommend where to start. • Steer a working prototype and make the build-vs-buy calls across hyperscaler, lakehouse, open-source and partner options. • Present a clear go / no-go with scope, team, plan and value case for delivery. Deliver • Act as design authority for the data, context and agent architecture. • Run delivery governance: plan, RAID, status, steering committees and change control. • Own the value case: baseline, KPIs and the readout of results against baseline. • Ensure security, identity, entitlements, evaluations and human approval are in place before agents act on business systems. • Coach the team and grow the relationship through evidence-based next steps. Mandatory Experience and Skills to bring: • 15 years in data, analytics and AI, including 5 years leading client-facing programs for large enterprises. • Hands-on architecture depth on Databricks or similar (Unity Catalog, Genie, Mosaic AI / Agent Bricks, MLflow) and at least one hyperscaler (AWS, Azure or Google Cloud). • At least one GenAI or agent solution taken into production, with 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: you frame choices for senior leaders and get decisions made. • Commercial judgment in scoping, estimation and change control. Nice to have experience & skills: • 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. #LI-MS2 About us We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Requirements

Must-haves

Cloud & Data Engineering
Discover and shape
Align executive sponsors on goals, success measures, scope and decision rights.
Assess the client s data, analytics and AI landscape: platforms, data readiness, semantics, governance and operating model.
Shape a portfolio of agent use cases by value, data readiness and risk; recommend where to start.
Steer a working prototype and make the build-vs-buy calls across hyperscaler, lakehouse, open-source and partner options.
Present a clear go / no-go with scope, team, plan and value case for delivery.
Act as design authority for the data, context and agent architecture.
Run delivery governance: plan, RAID, status, steering committees and change control.
Own the value case: baseline, KPIs and the readout of results against baseline.
Ensure security, identity, entitlements, evaluations and human approval are in place before agents act on business systems.
Coach the team and grow the relationship through evidence-based next steps.
15 years in data, analytics and AI, including 5 years leading client-facing programs for large enterprises.
Hands-on architecture depth on Databricks or similar (Unity Catalog, Genie, Mosaic AI / Agent Bricks, MLflow) and at least one hyperscaler (AWS, Azure or Google Cloud).
At least one GenAI or agent solution taken into production, with 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: you frame choices for senior leaders and get decisions made.
Commercial judgment in scoping, estimation and change control.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigoawsazure

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision