Lead Automation Architect – AI-Driven Security Systems

ITSMF; Indianapolis (IN); Remote; USD 129,000 - 253,000; Full time

Benefits offered by this job

Health benefits

401(k)

Job summary

Lilly is seeking an Automation Architect to own the automation approach within the Security Architecture & Engineering team. You will lead a small team, design scalable automation, and contribute to cloud and application security decisions while remaining hands-on in code.

You will build reliable Python-based automation, integrate with APIs, and ensure robust testing, logging, and documentation to support long-term maintainability and growth.

Qualifications

• 4+ years of experience in Cyber Security, Information Technology, or related field.
• 5+ years of professional experience across security, software engineering, or a combination, including hands-on development work.
• Experience leading engineers, whether as a direct manager or as a technical lead ready to take on people management.

Responsibilities

• Own the automation architecture and roadmap for the team, sequencing work against where it returns the most.
• Design and build automation in Python, including integrations with the platforms and systems the team depends on.
• Design and operate AI-augmented and agentic workflows, keeping human judgment in the loop where the decision warrants it.
• Set the harness strategy for agentic workflows — how agents are scaffolded, what context and tooling they are given, and how their output is evaluated.
• Maintain and improve the existing codebase so it stays reliable and extensible.

Skills

Team leadership

Security architecture

Python

Cloud security

AI-augmented workflows

Education

Bachelor's Degree in Cyber Security / CS / IT

Job description

Lilly is seeking an Automation Architect to own the automation approach within the Security Architecture & Engineering team. You will lead a small team, design scalable automation, and contribute to cloud and application security decisions while remaining hands-on in code.

You will build reliable Python-based automation, integrate with APIs, and ensure robust testing, logging, and documentation to support long-term maintainability and growth.