Time since we first saw it
Day 21
Similar jobs usually come down between day 4 and day 77.
At Hitachi, jobs usually come down by about day 38.
From 51 similar postings that came down, and 101 of Hitachi’s. Coming down is not always a hire.
Engagement Lead Architect- Data & Agentic AI
Dallas, Texas, United States
Live, first seen by us 21 days ago- Pay
- Pay not listed
- 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 postingPresent 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 23, 202621 days ago
- Recorded sightings
- 38
- Last seen by us
- Nov 13, 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
Hitachi is hiring
18 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 6% of open jobs were reposted
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.
Applying through Workday
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
Function
Cloud & Data EngineeringOur CompanyWe’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 descriptionYou 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 usWe’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 perspectivesHitachi 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 youWe 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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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dallas, Texas, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.