AI Automation Engineer

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

If that sounds exciting—and the job description below feels like a fit—we really should start talking.

We’re looking for an AI Automation and Integration Engineer to join our rapidly evolving IT & AI Workspace Technology team. This role is for a hands-on builder who thrives on creating smarter, more connected systems—someone who can transform manual workflows into intelligent, AI-enabled automations using cutting-edge tools like Model Context Protocol (MCP), Slack workflows, and secure system integrations.

You’ll design and implement scalable automations across our SaaS ecosystem, partner closely with our AI product and infrastructure teams, and bring a high degree of technical rigor and curiosity to every problem you solve.

This is a key role on a small, fast-moving team where your work will directly impact how we scale, automate, and future-proof our internal operations.

• Implement and scale our Model Context Protocol (MCP) to support secure, composable AI workflows across Slack, Jira, Salesforce, GitHub, AWS-based infrastructure, LLM providers (e.g., Claude), and internal APIs.

• Design agentic systems that enable AI tooling to integrate seamlessly with operational data and user identity services.

• Author requests for comments (RFCs), technical requirements documents (TRDs), and internal documentation to align MCP features with enterprise use cases.

• Build and maintain scalable automations and secure APIs to reduce operational overhead in onboarding, provisioning, and data lifecycle management.

• Own development and maintenance of reusable modules for identity sync, data uploads (e.g., CSV bulk importers), and AI-to-API orchestration.

• Drive continuous improvement across automation platforms by collaborating with stakeholder teams across the business.
  

• Work with InfoSec and IT teams to enforce role-based access controls and SAML/SSO integrations

• Harden identity workflows across US and EU regions, ensuring compliance with internal and external standards.

• Support audit readiness through traceable change management and data integrity practices.
  

• Attend cross functional standups, Architecture Roundtables, and AI working groups to ensure engineering solutions align with company goals.

• Partner closely with stakeholders to balance speed and safety in fast-moving pilot initiatives.

• Advocate for test-driven development (TDD), documentation, and open source-inspired code reusability.

• MCP server scaled and adopted across multiple workflows with stable, secure integrations

• Automation measurably reduced manual data entry through bulk import and automation tooling (e.g., 50% reduction).

• Onboarding and provisioning latency improved through identity automation (e.g., 30% faster completion).

• Clear documentation, playbooks, and dashboards enable stakeholders to self-serve with AI tools and automation templates, not rely on ad-hoc IT custom work.

• All automation systems have strong test coverage, robust monitoring, and meet security review requirements, with audit-ready logs for provisioning and data movement.

• Impact is visible and quantified through simple time-saved and adoption metrics layered on top of Jira, dashboards, and usage telemetry.

This is a hands-on AI automation role focused on production systems. Candidates without experience shipping AI-enabled automations or orchestration workflows into real environments are unlikely to be a fit.

Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you’ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact.