Automation Architect

What You Will Do

• Lead discovery and opportunity assessment across business functions to identify high-value automation targets

• Own end-to-end architecture and technical design for automation and AI workflows, spanning multiple enterprise systems

• Set and enforce engineering standards — testing, observability, deployment, and governance — for the automation program

• Manage and mentor a team of AI and automation developers, setting technical direction and reviewing designs

• Translate leadership and stakeholder priorities into technical specifications, and technical tradeoffs back into business terms

• Design integration patterns connecting AI agents, RPA/automation platforms, and enterprise systems

• Partner with engineering, business stakeholders, and automation engineers to validate and prioritize solutions

• Own vendor/platform evaluation input and reusable component standards for the automation practice

Qualifications

Required

• 5-7 years designing and leading automation/AI system architecture across multiple enterprise systems

• Programming experience in any coding language

• Demonstrated system design experience

• Strong software development practices (testing, CI/CD, code quality standards)

• Working experience designing and deploying agentic workflows

• Experience leading or mentoring engineering teams

• Proficiency in English

Preferred

• Experience with enterprise integration patterns (APIs, microservices, cloud platforms)

• Experience establishing governance/CoE frameworks

• Experience supporting platform or vendor evaluation

Skills & Mindsets

• Systems thinker who can architect across integrated platforms, not just build within them

• Strong communicator who bridges leadership, stakeholders, and engineers

• Entrepreneurial, fast learner, comfortable in a high-paced, ambiguous environment

• Simplicity and pragmatism — favors the straightforward, maintainable design over the clever one

• Strong value-delivery mindset — prioritizes shipped, adopted outcomes

• Comfortable setting and upholding AI governance/security guardrails for mission-critical systems

• People-leadership mindset — mentors and grows a technical team

• Comfortable operating with uncertainty and ambiguity

• Motivated by ambitious goals, not just incremental improvement

Tools & Technologies

• AI agent tools: Claude, Claude Code, Glean
• Automation / low-code / no-code: UiPath, n8n, Zapier
• Architecture & integration: APIs, microservices, cloud platforms, MCP, SQL, SaaS integrations