BetterUp · 1 day ago
AI Automation Engineer
Austin, TX
Full-time
Hybrid
Mid, Senior Level
$144K/yr - $227K/yr
3+ years expBetterUp is a company focused on human transformation and innovative employee experiences. They are looking for an AI Automation Engineer to join their IT & AI Workspace Technology team, where the role involves creating intelligent, AI-enabled automations and integrating various systems to enhance operational efficiency.
Artificial Intelligence (AI)ConsultingCorporate TrainingHuman ResourcesPersonal Development
Responsibilities
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
Qualification
Required
3–6 years of professional experience in software or systems engineering, with demonstrated ability to own backend services, integrations, or automation workflows with minimal oversight
Experience integrating AI capabilities into production systems, including orchestrating LLM-powered workflows across APIs, event-driven systems, and internal services
Hands-on experience designing AI-assisted automations that operate on real business data with appropriate context, permissions, and safeguards
Familiarity with using LLM providers (e.g., Claude or similar) as part of larger systems rather than standalone chat or prompt-based tools
Demonstrated experience integrating APIs and building automations across complex SaaS ecosystems
Proficiency in n8n and Zapier or custom-built orchestration tools
Hands-on experience building pipelines or automations using MCP, Step Functions, or equivalent event-driven architectures
Strong scripting or development skills (e.g., Python, ROR or JavaScript) for writing custom connectors or data transformations
Familiarity with common SaaS platforms including Okta, Jira, Slack, Workday, Google Workspace, FreshService, and their APIs
Experience working with authentication protocols (e.g., SAML, OAuth), and systems like Okta, GCP, or AWS
Preferred
Experience operating MCP-based or similar AI-enabled workflows in production environments, including considerations for reliability, observability, and ongoing maintenance
Prior contributions to audit, compliance, or governance-related tooling, such as provisioning logs, access tracking, or data integrity checks
Strong documentation practices, including maintaining technical artifacts (RFCs, diagrams, runbooks, and playbooks) as part of day-to-day work
Comfort acting as an embedded technical partner to non-technical stakeholders (e.g., HR, Recruiting, People Ops, Finance), with the ability to explain complex systems clearly, set expectations, and co-own automation roadmaps
Familiarity with operating and debugging production systems using tools such as logging, monitoring, and basic data stores (e.g., DataDog, Postgres, Redis), as well as supporting file-based or 'last mile' integrations when needed
Comfort with working as an embedded partner with non-technical stakeholders (EAs, HR, Recruiting, People Ops, Finance), including training them on automation patterns and co-owning roadmaps for the next set of high-impact automations
Benefits
Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Medical, dental, and vision insurance
Flexible paid time off
All federal/statutory holidays observed
4 BetterUp Inner Workdays (https://www.betterup.co/inner-work)
5 Volunteer Days to give back
Learning and Development stipend
Company wide Summer & Winter breaks
Year-round charitable contribution of your choice on behalf of BetterUp
401(k) self contribution
Company
BetterUp
BetterUp provides AI and human coaching to improve leadership, management, and employee performance across organizations.
501-1000 employees
H1B Sponsorship
BetterUp has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (3)
2023 (6)
2022 (7)
2021 (4)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$570.01MKey Investors
ICONIQ GrowthLightspeed Venture PartnersThreshold
2024-02-28Series Unknown· $0.21M
2021-10-08Series E· $300M
2021-02-25Series D· $125M
Leadership Team
Alexi Robichaux
CEO & Co-Founder
Ron Lewis
Senior Vice President - Chief of Staff to CEO & GM EMEA
Recent News
2026-01-22
VC News Daily
2026-01-14
Company data provided by crunchbase