A fast-growing energy infrastructure company specializing in power generation and distribution is seeking an AI Architect to join the team. This is a senior hybrid role that combines deep technical ownership of AI systems with hands-on responsibility for driving AI adoption across the organization. The AI Architect is responsible for designing and building the AI foundation the company operates on and ensuring the broader organization has the tools, knowledge, and confidence to use it effectively.

Salary + Additional Benefits:

• $150,000-$180,000
• Bonus and incentives
• Medical Insurance
• Dental Insurance
• Vision Insurance
• 401K - 6% company match

• Design and implement the end-to-end AI systems architecture, including LLM integration patterns, RAG pipelines, agentic frameworks, and MCP server infrastructure.
• Own model selection and evaluation: assess, benchmark, and recommend LLMs and AI tools aligned to the company's use cases and risk tolerance.
• Build and maintain data pipelines that feed AI systems with clean, structured, and contextually relevant information.
• Establish MLOps practices for deploying, monitoring, versioning, and maintaining AI applications in production.
• Design API and integration patterns that connect AI capabilities to existing business systems: ERP, field service management, equipment tracking, and internal tools.
• Define and enforce AI security, data privacy, and governance standards across all AI systems at the company.
• Develop and manage MCP servers that give AI models structured access to internal data sources and workflows.

• Partner with the Director of Software Engineering to translate business priorities into AI use cases and a sequenced delivery roadmap.
• Work directly with department teams: field operations, dispatch, finance, and equipment management to identify high-value AI opportunities and build tools they will actually use.
• Design and deliver practical AI training and enablement resources that make AI accessible to non-technical teams.
• Champion responsible AI use across the organization: building guardrails, governance practices, and acceptable use policies that give the company confidence to move fast.
• Track and communicate adoption metrics, productivity gains, and ROI across AI initiatives to the Director of Software Engineering.
• Stay current on AI tooling, industry trends, and energy sector AI applications, and bring relevant opportunities to the team proactively.

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field; Master's degree preferred
• 5+ years in software or AI/ML engineering with at least 2 years in a senior or lead technical capacity
• Hands-on experience designing and deploying LLM-powered applications in production: RAG pipelines, agentic workflows, tool use, function calling
• Working knowledge of MCP (Model Context Protocol) or equivalent AI context and integration frameworks
• Demonstrated experience with agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, or equivalent
• Strong Python proficiency and REST API development experience
• Experience with cloud deployment and infrastructure on Azure, AWS, or GCP
• Proven ability to take AI tools from prototype to production: not just building, but maintaining and scaling
• Enough communication ability to explain architectural decisions to non-technical stakeholders and run practical enablement sessions with business teams

• Experience in energy, oilfield services, industrial equipment, or field-operations-heavy industries
• Familiarity with equipment management systems, ERP platforms, or field service management software
• Track record of building AI governance frameworks, security patterns, or responsible AI policies
• Experience at a mid-market company (50-1,000 employees) where you owned technical decisions end-to-end
• Prior experience standing up an AI function or AI platform from scratch