You9ll partner closely with our Program Manager, AI Enablement, who owns the roadmap and drives adoption across departments. Your job is to ship: prototype quickly, harden what works, and build the technical patterns the rest of the company will reuse. This is a hands-on builder role with high visibility. The CTO is the executive sponsor for AI Enablement, your work will be in front of executives regularly, and the systems you ship will touch most of the company within your first year.
Responsibilities Will Include: - Building production AI systems end to end, from prototype through deploy and monitor
- Working directly with stakeholders across Engineering, Operations, HR, Finance, and Commercial to translate workflow problems into shippable tools
- Writing the evaluation harnesses, prompts, retrieval logic, and integration code that make LLM-powered features reliable
- Establishing reusable technical patterns: prompt and model governance, eval frameworks, data access, deploy practices
- Contributing to the technical roadmap, including where to invest, what to kill, and what9s worth building in-house versus buying
- Supporting the Program Manager on technical scoping for new use cases, including calling out when an out-of-the-box tool will solve the problem versus when custom work is justified
Requirements:- Strong CS or related technical degree, with hands-on production experience building AI/ML systems (internships, research, or full-time work all count)
- Demonstrated ability to ship: a portfolio of projects or work history that shows you take things from idea to running system, not just notebooks
- Solid software engineering fundamentals, including version control, testing, code review, and deployment practices
- Working knowledge of modern AI tooling: LLM APIs, RAG, evaluation, agent frameworks, vector stores
- Strong written and verbal communication. You9ll be in front of non-technical stakeholders regularly and the work needs to translate
- Comfortable in ambiguity. We don9t have a fully scoped roadmap; you9ll help build it
Preferred Experience:- Production experience with hosted LLM platforms (Anthropic API, Azure OpenAI, AWS Bedrock, or equivalent)
- Hands-on experience with Claude Code, MCP server development, or agentic coding tools
- Familiarity with Microsoft ecosystem integration (Entra ID, Graph API, M365 surfaces) for enterprise AI deployments
- Experience with agent orchestration frameworks or multi-agent systems
- Exposure to settings where data sensitivity and operational safety constrain what you can deploy (OT, healthcare, finance, regulated industries)
- Background in energy, utilities, or other operationally complex sectors
#LI-AD1
For US-based roles - What you9ll get:- Competitive salary + annual performance-based bonus eligibility
- Medical, dental, and vision insurance
- 401(k) with company match
- Paid time off and company holidays
For Mexico-based roles - What you9ll get:- Competitive salary + annual performance bonus eligibility
- Christmas Bonus (Aguinaldo): 30 days
- Major medical expenses and life insurance
- Paid time off and holidays (per local policy)
For all roles:- Professional development and growth opportunities
- Opportunity to grow with a mission-driven team shaping the future of clean energy
- Benefits vary by role and location and are subject to change.
