AI Automation Engineer
Posted 4 Aug 2026
Advertised as “Senior AI Automation Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Remote
No salary listed for this role.
Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
Senior AI Automation Engineer - (Talent Pool / Future Opportunities)
Location: Remote from Colombia
.Monks Technology Services, part of Media.Monks and S4 Capital, is a global consulting firm mastering AI-powered transformations for the Fortune 100. We combine long-term strategic thinking, deep enterprise experience, and a human-centered approach to help clients transform business processes and dominate their industries.
About the Role
As a Senior AI / Orchestration Engineer, you’ll build the orchestration layer behind agentic AI systems that execute complex business workflows end to end. You’ll design systems that maintain state, determine the next best action, route agents, and incorporate human judgment at critical decision points. Working within a Monks delivery team, you’ll collaborate with clients, product teams, engineers, and domain experts to shape emerging agentic engineering patterns and turn them into production-ready solutions.
Responsibilities
- Design and build agent orchestration layers, including workflow state, event-driven agent execution, and next-best-action logic
- Integrate LLMs through provider-agnostic layers using platforms such as Anthropic, OpenAI, and Writer.ai
- Implement structured outputs, tool-calling, retries, guardrails, and model-routing strategies
- Transform unstructured inputs—including documents, transcripts, and business records—into reliable, actionable data
- Build human-in-the-loop approval workflows that keep users in control of high-impact decisions
- Establish evaluation and tuning loops to measure agent quality and improve system behavior
- Identify and address non-deterministic failure modes through testing, observability, and guardrails
- Collaborate with frontend, product, client, and domain stakeholders to deliver complete solutions
- Use AI coding agents such as Claude Code and Codex as part of the software development workflow
- Communicate technical concepts clearly to both executive and non-technical audiences