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
5+ yrs
python
llm platforms
prompt engineering
aws
bs computer
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
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
Information not given or found
Company
Overview
13 Years
Industry Presence
The company has a long-standing presence in the energy storage sector, contributing significantly to its growth and innovation.
Delivers AI-powered energy storage solutions to businesses and utilities.
Enables automated optimization of energy usage and costs through advanced technology.
Integrates software with hardware for intelligent energy management.
Focuses on enhancing efficiency and reliability in both commercial and industrial energy systems.
Pioneers AI in the energy storage sector to deliver actionable insights and dynamic energy control.
Projects span across industries, optimizing energy consumption for utilities and commercial businesses.
Includes large-scale energy storage deployments that drive sustainable energy consumption in commercial facilities.
Culture + Values
Customer Value: We help our customers win.
Excellence: We are data‑driven, leveraging our domain expertise.
Execution: We exceed commitments at every level of the company.
Innovation: We accelerate the energy transition.
Inclusion: We value, include, and hear everyone. We are one team.
Ownership: We debate, decide, and do.
Environment + Sustainability
5+ GWh_storage
Global Storage Capacity
Manages storage capacity globally, supporting energy storage solutions across numerous sites.
25+ GW_solar
Solar Power Capacity
Operates solar assets that contribute to large-scale renewable energy generation and emission reduction.
30M runtime
Data Runtime Hours
Processes and leverages millions of hours of operational data to enhance efficiency and decision-making.
83K dispatches
Global Grid Dispatch
Manages energy distribution across a vast network, ensuring reliable and optimized grid operations.
Oversees sustainability policies and goals through board-level committees.
Ethical environmental practices are governed by a code of conduct with automated compliance monitoring.
Net-zero target details are not explicitly disclosed in available sources.
Inclusion & Diversity
~28% women
Female Representation
As of December 31, 2021, approximately 28% of the workforce is female.
Monthly global Culture Coalition: hosts DEI-focused sessions with guest speakers and giveaways
Employee networks launched: LGBTIA+ and Women in Leadership
Unconscious-bias, anti-discrimination and harassment training: mandatory for all employees
Equal pay monitoring: gender and ethnic pay equality reviewed on an annual basis
Structured inclusive hiring: targeted recruitment for veterans, university students, diverse backgrounds