Data AI Engineering Lead

Benefits

• Warrants
• Annual bonus
• 401(k)
• 401(k) matching
• Competitive salary
• Health insurance
• Paid time off

Data & AI Engineering Lead

Full Time | Hybrid Preferred | Chicago Metro Area Preferred

Build the data and agent foundation for POWR:

Suite Intelligent Generation’s mission is to empower businesses to engage the clean energy grid.

Intelligent Generation builds and operates POWR:

Suite, a software platform that helps battery energy storage assets make highly profitable economic decisions.

POWR:

Suite connects distributed energy assets to wholesale power markets while also optimizing behind-the-meter value: reducing utility bills, managing demand charges, improving asset performance, supporting resilience, and helping customers capture the full economic value of their energy assets.

Our work sits at the intersection of energy markets, grid operations, customer savings, software automation, telemetry, and AI-assisted decision‑making.

We are looking for a data and AI engineering leader to build the data, retrieval, machine learning, and agent foundation that helps POWR:

Suite scale with intelligence and control.

This is a leadership role. You will be hands‑on early, but the expectation is that you will grow into leading data and AI engineers, owning the technical roadmap, and orchestrating agents that support analysis, operations, engineering, settlement, reporting, customer value proof, and decision support.

IG’s ability to scale depends on more than adding assets. We need trusted data, reusable knowledge, reliable pipelines, governed agents, and decision‑support systems that help teams operate faster and with more confidence.

Every battery decision has an economic impact: market revenue, bill savings, demand charge reduction, asset performance, resilience, customer reporting, and settlement confidence.

You will help turn telemetry, market data, utility bill logic, demand charge rules, operational workflows, settlement logic, customer commitments, and institutional knowledge into a durable advantage for POWR:

Suite.

Lead the architecture and evolution of IG’s data platform on GCP across Big Query, Pub/Sub, Dataflow, Cloud Storage, Vertex AI, and related services.

Define standards for data quality, ownership, freshness, lineage, observability, and reliability across operational telemetry, market data, financial data, asset data, customer savings data, and customer reporting.

Build retrieval‑augmented systems that ground agents in IG’s actual operating context: market rules, utility bill structures, demand charge logic, asset behavior, contracts, runbooks, incidents, settlement logic, customer commitments, and operational history.

Lead the development of models and analytical capabilities for anomaly detection, forecasting, performance monitoring, revenue variance explanation, customer savings analysis, operational risk detection, and decision support.

Build data and AI capabilities that help explain the economic value created by POWR:

Suite, including market revenue, bill reduction, demand charge management, operational performance, and customer‑facing proof of value.

Build, maintain, evaluate, and govern agents that support POWR:

Suite workflows. Define what agents can access, what they produce, how their outputs are evaluated, and where human review is required.

Translate business workflows into data and AI requirements. Define what intelligence capabilities should be built, what success looks like, and how they improve business outcomes.

Over time, build and lead a data and AI engineering function. Establish how engineers, analysts, business users, and agents work together to improve speed, quality, explainability, and institutional learning.

• Understand IG’s current data sources, pipelines, dashboards, models, reports, economic calculations, and knowledge systems
• Map key data flows across telemetry, dispatch, settlements, customer bill…