AI Solutions Engineer

Description

• Design, build, and deploy enterprise AI solutions using modern LLM platforms (Anthropic Claude, OpenAI, Google Gemini, etc.)
• Integrate AI solutions with existing enterprise systems, databases, and workflows
• Serve as the primary technical point of contact during pre-sales and implementation phases
• Partner with internal engineering teams to identify opportunities for AI integration in Stem's products
• 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.
• Travel by car, air, train regularly.
• Build proof-of-concept demonstrations and technical pilots that showcase AI capabilities for customers and prospects
• Conduct compelling technical demonstrations and presentations for both technical and business audiences
• Provide real-time problem-solving and technical guidance to customers during deployment
• Develop reusable AI solution patterns and accelerators for common use cases
• Research, evaluate, and implement emerging AI technologies and tools for both internal use and customer deployments
• Mentor team members and customers on AI best practices and implementation techniques
• Support contract scoping discussions with detailed technical requirements and effort estimates
• Develop and deploy MCP servers and custom AI integrations tailored to customer workflows and business processes
• Guide customers through solution architecture decisions and implementation planning
• Contribute to the development of internal AI tools and developer productivity enhancements
• Create comprehensive AI implementation roadmaps and technical documentation
• Work closely with product, engineering, and sales teams to align AI solution capabilities with customer needs
• Lead change management conversations to help customers adopt AI solutions effectively
• Lead technical discovery sessions with customers to understand their AI implementation requirements and constraints
• Share insights from customer engagements to inform product development and AI strategy
• Create custom AI agents, personas, and specialized tools for specific use cases

Requirements

• 2+ years of experience in customer-facing technical roles (solutions engineering, technical consulting, or sales engineering)
• Familiarity with AI deployment patterns, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures
• Experience managing customer relationships and guiding implementation projects
• Moderate to high noise levels (i.e. business office with computers, phone, printers, moderate traffic).
• B.S. in Computer Science, Artificial Intelligence, Software Engineering, or related technical field required
• Adaptability to the rapidly evolving AI technology landscape
• Deep hands-on experience with modern LLM platforms (Anthropic Claude, OpenAI GPT, Google Gemini)
• Strong programming skills in Python and/or JavaScript/TypeScript
• Specific vision abilities required by this job include close vision requirements due to computer work.
• Experience in energy, utilities, or related industrial sectors
• 5+ years of software engineering experience with at least 2 years focused on AI/ML technologies
• Strong presentation skills with the ability to deliver compelling technical demonstrations
• Background in change management and digital transformation initiatives
• Track record of supporting successful sales processes through technical expertise
• Understanding of digital literacy and user adoption strategies
• Collaborative mindset and ability to work across functional teams
• Ability to sit or stand at a computer terminal for an extended period.
• Self-directed with the ability to manage multiple customer engagements simultaneously
• Proven ability to engage effectively with customers ranging from technical practitioners to C-level executives
• Proven ability to build AI integrations, including experience with APIs, MCP servers, and custom agents
• Excellent communication skills, translating complex technical concepts for diverse audiences
• Experience building developer tools or productivity-enhancing solutions
• Understanding of enterprise security requirements and compliance frameworks
• Professional demeanor suitable for enterprise customer interactions
• Ability to cope with the stress of traveling.
• Strong analytical and problem-solving abilities
• Ability to problem-solve on the fly and adapt solutions to customer feedback in real-time
• Experience with cloud platforms (AWS, Azure, or GCP) and container technologies

Benefits

• A competitive compensation package, including eligibility for a bonus or commission based on the role, and equity
• 401k (pre- or post-tax) on first day of employment
• Full health benefits on the first day of employment (several medical plan options-HDHP and PPO, dental plans, FSA/HSA-with employer contribution, employer paid vision/LTD/STD/Life, variety of voluntary coverage)
• Flexible time-off
• 12 paid calendar holidays per year
• Office Setting, primarily in cubicles, or remote.

Training + Development

Interview process

Visa Sponsorship

Security clearance