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Engagement Lead Architect- Data & Agentic AI

Pay
Pay not listedSimilar roles state $89K–$149K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Present a clear go / no-go with scope, team, plan and value case for delivery.

  • 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.

From the employer’s posting
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
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.
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.

About Hitachi

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing.

In the employer’s words · Read in context

Apply at Hitachi

Posting record

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Actively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 23, 202612 days ago
Recorded sightings
29
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$88.9K–$149K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 20,015 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 12

Similar jobs usually come down between day 8 and day 52.

From 36,115 similar postings that came down. Coming down is not always a hire.

Hitachi is hiring

16 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Other hiring has slowed
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • AWS
  • Azure
  • Databricks
  • MLflow
  • GCP
Where the posting names them
• 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.
• Manufacturing, automotive or supply-chain industry experience. • Databricks or cloud professional certifications. • Experience with agent observability, AI FinOps, agent registries or gateways.

Your next step

Complete your application on hitachi.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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Job description

View original posting ↗

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.

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Location & working pattern

Dallas, Texas, United States

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