Solar-Storage AI & Data Solutions Specialist | Albuquerque, NM 46 views

Solar-Storage

Location: NM
About the job
**REMOTE POSITION**

**BASE SALARY STARTS @ $100,000**

Vesper Energy is building the most forward-leaning utility scale energy project development function in the industry—one that fully integrates AI, automation, and data-driven insights into decision-making. The AI & Data Solutions Specialist will lead the design, implementation and scaling of AI-driven tools and data workflows across our PV + Storage development lifecycle. This role is ideal for candidates who are technically strong, curious, and eager to apply AI/ML, data analytics, and workflow automation to solve real-world challenges in renewable energy.

You will serve as a subject-matter expert and internal consultant for AI, automation, and analytics, partnering with Development, Engineering, Interconnection and Transmission, Commercial, Finance, and EPC teams to own and deliver AI-enabled solutions that improve efficiency, accuracy, and insight across key processes—such as design automation, cost modeling, portfolio simulation, compliance tracking, document intelligence, knowledge management, and operational reporting.

This is a high-visibility role with the opportunity to be a founding leader of Vesper’s AI transformation strategy, helping to establish standards, best practices, and reusable patterns for AI and automation across the company.

Role Requirements

Education Required: Bachelor’s degree in Engineering, Computer Science, Data Science, Analytics, Renewable Energy, Applied Mathematics, or related technical field required.

Preferred: Master’s degree in relevant technical or data discipline; coursework or certifications in AI/ML, data engineering, or renewable energy systems; or equivalent hands-on experience implementing AI/automation solutions.

Years of Experience: 4–7 years of hands-on experience designing and implementing AI, automation, or advanced analytics solutions, ideally in an engineering, energy, or infrastructure environment. Demonstrated experience owning end-to-end solutions from requirements through deployment and adoption.

Skills, Abilities & Knowledge

Strong analytical and problem-solving skills; ability to translate ambiguity into structured actions and robust, scalable solutions.
Experience with common AI and data tools:
Familiarity with LLMs, APIs, and generative AI concepts
Hands-on experience integrating LLMs and other AI models into production-like workflows or tools
Python (pandas, NumPy, basic ML libraries), SQL, Power BI, Excel, etc.
Proven ability to independently scope, prioritize, and deliver complex technical projects with minimal supervision.
Ability to manage multiple projects, balance priorities, and deliver high-quality work.
Excellent communication skills, including ability to explain technical concepts to non-technical audiences.
Curiosity, ownership mindset, and enthusiasm for renewable energy and sustainability.
Comfort mentoring junior team members and promoting best practices in AI, automation, and analytics.

Preferred Qualifications

Significant experience in solar, storage, energy markets, or utility-scale power systems (or a strong adjacent domain with demonstrable ability to ramp quickly).
Exposure to engineering or development tools and processes (PVSyst, Helioscope/other layout tools, interconnection queues, financial models) and ability to integrate AI/automation into these workflows
Experience with enterprise tools (Azure, SharePoint, Power Apps, Dataverse) and building solutions that integrate across these platforms
Familiarity with machine-learning workflows, data modeling, and/or natural language processing beyond basic prototypes. Demonstrated ability to build prototypes/MVPs that evolve into business-critical tools used by multiple teams or functions.
Track record of acting as a subject-matter expert for AI/automation, including advising stakeholders on feasibility, trade-offs, and roadmap.

Key Responsibilities

AI Integration & Automation

Own the design, development, and lifecycle management of AI-powered tools and agents across the organization.
Implement data and document-intelligence workflows (document parsing, OCR, generative summarization, data extraction).
Build automated pipelines for recurring processes (e.g., development deliverables, design assumption updates, automated reporting).
Identify opportunities to apply generative AI, agents, and micro-automations to increase team productivity and build the business case for prioritizing the highest-impact initiatives.
Establish technical patterns, standards, and reusable components for AI and automation solutions.

Data & Analytics

Integrate with and own key elements of dashboards and analytics tools (Power BI, Excel Power Query, Python notebooks) supporting portfolio management, project design and decision-making.
Lead analysis of internal and external data sources (energy markets, interconnection queues, land data, technical constraints) to inform product and development strategy, not just ad-hoc requests.

Process & Systems Support

Partner with cross-functional teams to understand and document workflows, pain points, and requirements.
Lead end-to-end projects to streamline processes using AI or automation, from discovery and design through rollout and continuous improvement.
Document workflows, maintain knowledge bases, and help establish best practices for AI adoption.
Define and track success metrics (e.g., time saved, error reduction, adoption rates) for AI and automation initiatives.

Cross-Functional Collaboration

Work closely with cross-organizational teams to translate business needs into technical solutions.
Act as a primary point of contact for AI & Data Solutions within Technical Services, coordinating with Development, Engineering, Commercial, Finance, and EPC.
Support team training and change-management around new AI tools, templates, and workflows; create enablement materials and conduct training sessions as needed.
Contribute to organizational readiness for large-scale AI transformation initiatives by advising leadership on opportunities, risks, and implementation considerations

Solar-Storage