AI Automation Architect
LocationRemote - Colombia
Work moderemote
SeniorityLead
Experience5–7 yrs
DepartmentAI Center of Excellence
Company size11+ people
PostedOct 2, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
Experience with enterprise integration patterns (APIs, microservices, cloud platforms)
Experience establishing governance/CoE frameworks
Experience supporting platform or vendor evaluation
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
Skills
Claude
Claude Code
Glean
UiPath
n8n
Zapier
APIs
microservices
cloud platforms
MCP
SQL
SaaS integrations
About the role
Reports into Ansira’s AI Center of Excellence, based in Colombia. Leads the discovery, design, and deployment of mission-critical AI and automation workflows across the business, and manages a group of AI and automation developers. Partners closely with leadership, business stakeholders, the broader engineering organization, and the automation engineering team to turn business needs into scalable, well-governed automated solutions.
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
Nice to have
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