Senior Engagement Architect - Data & Agentic AI

Hitachi Digital Services LLC; Dallas (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Hitachi Digital Services LLC is seeking an Engagement Lead Architect for Data and Agentic AI. You will guide client engagements from AI ambition to production agents, owning architecture direction, client relationships, and business outcomes.

You will lead a senior team of architects, engineers, and consultants through assessment, prototyping, and delivery. You will align executives, assess data landscapes, shape a data-driven portfolio, and decide build vs.

Qualifications

• 15+ years in data, analytics and AI.
• 5+ years leading client-facing programs for large enterprises.
• Hands-on architecture depth on Databricks or similar and at least one hyperscaler.
• At least one GenAI or agent solution in production with guardrails and access controls.
• Strong grasp of semantic layers, glossaries and knowledge graphs for agents.

Responsibilities

• Lead client engagements from AI ambition to production agents.
• Own architecture direction, client relationship, and business outcomes.
• Manage a senior team of architects, engineers and consultants.
• Assess data readiness, governance and operating model for AI deployments.
• Shape a portfolio of agent use cases by value, data readiness and risk.
• Oversee delivery governance, RAID, status, and change control.

Skills

Data analytics leadership

Client-facing programs

Databricks architecture

Cloud proficiency (AWS/Azure/GCP)

GenAI/agent production

Semantic layers & knowledge graphs

Executive presence

Commercial scoping & estimation

Tools

Databricks

Unity Catalog

GenAI platforms

MLflow

Job description

Hitachi Digital Services LLC is seeking an Engagement Lead Architect for Data and Agentic AI. You will guide client engagements from AI ambition to production agents, owning architecture direction, client relationships, and business outcomes.

You will lead a senior team of architects, engineers, and consultants through assessment, prototyping, and delivery. You will align executives, assess data landscapes, shape a data-driven portfolio, and decide build vs.