AI Solutions Engineer

What we are looking for:

We are seeking an experienced AI Solutions Engineer to join our Technology organization, bridging the gap between cutting-edge AI capabilities and practical customer implementations. This role combines deep technical expertise in AI/ML technologies with strong customer-facing consulting skills to help organizations implement and optimize AI solutions that drive real business value.

As our AI Solutions Engineer, you will be responsible for the hands-on implementation of AI solutions across Stem's product ecosystem and customer environments. You will work directly with customers, sales teams, and internal engineering groups to design, deploy, and optimize AI-powered solutions, including MCP (Model Context Protocol) servers, custom AI agents, and integrations with platforms like Claude, GPT, and Gemini. This is a highly technical, customer-facing role that requires both the ability to architect sophisticated AI solutions and the communication skills to guide customers through adoption and change management.

Key Responsibilities

Technical Implementation

• Design, build, and deploy enterprise AI solutions using modern LLM platforms (Anthropic Claude, OpenAI, Google Gemini, etc.)
• Develop and deploy MCP servers and custom AI integrations tailored to customer workflows and business processes
• Create custom AI agents, personas, and specialized tools for specific use cases
• Build proof-of-concept demonstrations and technical pilots that showcase AI capabilities for customers and prospects
• Integrate AI solutions with existing enterprise systems, databases, and workflows
• Research, evaluate, and implement emerging AI technologies and tools for both internal use and customer deployments
• Develop reusable AI solution patterns and accelerators for common use cases

Customer Engagement & Solutions Architecture

• Lead technical discovery sessions with customers to understand their AI implementation requirements and constraints
• Conduct compelling technical demonstrations and presentations for both technical and business audiences
• Serve as the primary technical point of contact during pre-sales and implementation phases
• Guide customers through solution architecture decisions and implementation planning
• Provide real-time problem-solving and technical guidance to customers during deployment
• Lead change management conversations to help customers adopt AI solutions effectively
• Create comprehensive AI implementation roadmaps and technical documentation
• Support contract scoping discussions with detailed technical requirements and effort estimates

Collaboration & Knowledge Sharing

• Work closely with product, engineering, and sales teams to align AI solution capabilities with customer needs
• Partner with internal engineering teams to identify opportunities for AI integration in Stem's products
• Mentor team members and customers on AI best practices and implementation techniques
• Share insights from customer engagements to inform product development and AI strategy
• Contribute to the development of internal AI tools and developer productivity enhancements

Required Qualifications

Education & Experience

• B.S. in Computer Science, Artificial Intelligence, Software Engineering, or related technical field required
• 5+ years of software engineering experience with at least 2 years focused on AI/ML technologies
• 2+ years of experience in customer-facing technical roles (solutions engineering, technical consulting, or sales engineering)

Technical Expertise

• Deep hands-on experience with modern LLM platforms (Anthropic Claude, OpenAI GPT, Google Gemini)
• Proven ability to build AI integrations, including experience with APIs, MCP servers, and custom agents
• Strong programming skills in Python and/or JavaScript/TypeScript
• Experience with cloud platforms (AWS, Azure, or GCP) and container technologies
• Understanding of enterprise security requirements and compliance frameworks
• Familiarity with AI deployment patterns, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures

Customer & Communication Skills

• Proven ability to engage effectively with customers ranging from technical practitioners to C-level executives
• Strong presentation skills with the ability to deliver compelling technical demonstrations
• Excellent communication skills, translating complex technical concepts for diverse audiences
• Experience managing customer relationships and guiding implementation projects
• Ability to problem-solve on the fly and adapt solutions to customer feedback in real-time
• Track record of supporting successful sales processes through technical expertise

Professional Attributes

• Strong analytical and problem-solving abilities
• Self-directed with the ability to manage multiple customer engagements simultaneously
• Professional demeanor suitable for enterprise customer interactions
• Adaptability to the rapidly evolving AI technology landscape
• Passion for helping customers succeed through technology adoption
• Collaborative mindset and ability to work across functional teams

Preferred Qualifications

• Experience in energy, utilities, or related industrial sectors
• Background in change management and digital transformation initiatives
• Experience building developer tools or productivity-enhancing solutions
• Understanding of digital literacy and user adoption strategies

Work Environment:

• Office Setting, primarily in cubicles, or remote.
• Travel by car, air, train regularly.
• Moderate to high noise levels (i.e. business office with computers, phone, printers, moderate traffic).
• Ability to sit or stand at a computer terminal for an extended period.

Physical Demands:

• While performing the duties of this job, the employee is regularly required to communicate (talk/sign/type/write) and operate a computer, telephone (or alternative), keyboard (or typing device), etc.
• Specific vision abilities required by this job include close vision requirements due to computer work.
• Ability to cope with the stress of traveling.