Architect, Martech Agentic Engineering — AI-Driven

Ulta Beauty, Inc.

Bolingbrook (IL)

On-site

USD 119,000 - 170,000

Full time

8 days ago

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Benefits offered by this job

Health benefits
Paid time off
Dental & Vision insurance
Short/Long-term disability

Job summary

Ulta Beauty, Inc. seeks an Architect, Martech Agentic Engineering to transform how Martech builds and operates software and data products with agentic engineering.

This hands-on leader will define the technical vision, operating model, and tooling strategy across Martech and drive adoption of reusable patterns and guardrails. You will lead the evolution toward outcome-oriented agentic engineering, orchestrating agents while maintaining oversight, and embedding capabilities across delivery teams

Qualifications

  • Bachelor's degree in Computer Science, CIS, Engineering or a related field, or equivalent professional experience.
  • 10+ years of progressive experience and technology ownership in software engineering, data engineering, enterprise automation or solution architecture.
  • Hands-on experience applying automation and/or agentic capabilities to software engineering, data engineering, platform engineering, or SDLC workflows, including the ability to contribute production-quality code.
  • Strong engineering fundamentals across APIs, distributed systems, cloud, CI/CD, source control, developer tooling, automated testing, observability, security and modern data patterns.
  • Experience with LLM-based development tools, agent orchestration, context engineering, tool integration/MCP, evaluation frameworks and human-in-the-loop controls.
  • Proven ability to create reusable engineering patterns, reference implementations, standards or enablement capabilities and drive their adoption across multiple engineering teams.
  • Ability to lead through influence, coach senior technical talent, build communities of practice and drive organizational change without direct authority.
  • Strong analytical mindset; able to define success measures and use data to evaluate productivity, quality and developer experience.
  • Excellent communication and learning agility, with the ability to translate complex technology into clear recommendations while navigating a rapidly evolving AI landscape.

Responsibilities

  • Define the technical vision, architecture, tooling strategy, standards, and operating model for agentic software and data engineering across Martech.
  • Enable the evolution from task-oriented AI assistance toward outcome-oriented agentic engineering, where engineers orchestrate agents against defined goals while retaining judgment, oversight and accountability for results.
  • Experiment with emerging agentic engineering techniques through prioritized use cases, separating durable value from hype.
  • Productize proven approaches into reusable golden paths, context patterns, tool/MCP integrations, evaluation frameworks, guardrails, and reference implementations.
  • Embed capabilities by working with pods on real engineering work and transferring knowledge through the guild to delivery teams.
  • Measure impact by tracking cycle time, throughput, quality, toil, developer experience and capacity.

Skills

APIs
Distributed systems
Cloud
CI/CD
Source control
Developer tooling
Automated testing
Observability
Security
Data patterns
LLM-based development
Agent orchestration
Context engineering
Tool integration
Human-in-the-loop controls

Education

Bachelor's degree in Computer Science / CIS / Engineering or related

Tools

LLM-based development tools
Agent orchestration
Context engineering
Tool integration / MCP
Evaluation frameworks

Job description

Ulta Beauty, Inc. seeks an Architect, Martech Agentic Engineering to transform how Martech builds and operates software and data products with agentic engineering.

This hands-on leader will define the technical vision, operating model, and tooling strategy across Martech and drive adoption of reusable patterns and guardrails. You will lead the evolution toward outcome-oriented agentic engineering, orchestrating agents while maintaining oversight, and embedding capabilities across delivery teams

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