As a Senior AI Enablement Engineer, you will design and build foundational AI infrastructure, tooling, and workflows to enhance efficiency across the organization. This role involves building scalable AI systems, partnering with various teams, and driving the adoption of AI-powered workflows.
200k – 250k/yr
Hybrid5+ YOEML Engineering
About the role
What You'll Be Doing:
Design and implement Grow's internal AI control plane and tooling ecosystem, including MCPs, AI skills frameworks, and secure connectors to internal systems such as our code, data warehouses, CRMs, finance tools, and internal databases
Build autonomous agents that can solve common classes of engineering problems (feature building, design changes, refactors, tech debt, bug triage, log analysis, etc)
Build reusable, production-ready AI workflows and department-specific copilots that reduce manual effort and accelerate decision-making across teams
Conduct deep workflow discovery sessions with cross-functional partners to identify high-leverage AI opportunities that drive measurable business value
Partner with Security, Legal, and Data teams to ensure all AI infrastructure is compliant, secure, and aligned with data governance standards
Provide documentation, enablement sessions, and feedback loops to drive adoption, and establish metrics to track efficiency gains and platform reliability
You'll Be a Good Fit If:
You have 5+ years of experience in software engineering, platform engineering, or infrastructure roles with hands-on experience building AI-enabled systems (LLMs, skills, MCPs, orchestration frameworks, etc)
You have experience designing and maintaining internal platforms, APIs, or developer tooling and are energized by improving developer experience
You are a strong cross-functional collaborator who can translate business workflows into well-designed technical systems and communicate effectively with non-technical stakeholders
You bring experience with security, data governance, and reliability best practices in production systems, ideally in regulated or healthcare-adjacent environments
You have familiarity with AI agent frameworks, tool/skills registries, MCPs, or experience integrating enterprise systems (CRM, HRIS, finance tools, ticketing systems)
Base Compensation:
The base compensation range for this position is $200,000–$250,000 USD Annually
Full Time Employee Benefits:
Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage.
Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend.
Financial Wellness: 401(k) program and equity opportunities.
Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in-office employees.
Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week.
Wellness & Development: Annual stipends to put towards personal & professional growth.
Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace).
Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance.
Skills
Ai-Enabled SystemsLLMsAPIDeveloper ToolingSecurityData GovernanceReliabilityAi Agent FrameworksEnterprise Systems Integration
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