Senior Applied AI Engineer — Product & Revenue Systems

Build and deploy AI systems that directly drive revenue by embedding AI across QEA’s product, sales, and marketing workflows.

This role focuses on execution: turning QEA’s building data, imagery, analysis outputs, and business workflows into production AI tools that accelerate deals, generate pipeline, improve proposal quality, and enable AI-assisted retrofit planning.

The ideal candidate is a senior hands‑on builder who can work across product, engineering, sales, and business teams to identify high‑impact AI opportunities, build working systems, and deploy them into real operational use.

Product: Ship AI‑assisted retrofit planning features, including detection, recommendations, prioritization, and ROI‑supporting outputs.

Sales: Improve win rate and sales velocity through AI‑generated insights, automated proposal support, portfolio‑level analysis, and pre‑sales intelligence.

Marketing / Growth: Develop AI‑driven targeting, outbound, and campaign automation systems that generate qualified pipeline.

Platform: Help establish QEA as an AI‑driven building intelligence platform that supports retrofit planning, financing, and long‑term asset management.

• Build AI‑powered product features for retrofit planning, including building issue detection, retrofit recommendations, prioritization logic, and ROI‑supporting outputs.
• Develop AI‑assisted sales tools, including pre‑sales insights, automated proposal generation, portfolio analysis, client‑specific opportunity summaries, and supporting materials for business development.
• Create AI‑driven marketing and growth systems, including lead targeting, account research, personalized outreach support, and campaign automation.
• Work with QEA’s data pipelines, imagery, analysis outputs, and customer data to continuously improve AI systems and product capabilities.
• Support SaaS product development by contributing to APIs, dashboards, automation workflows, internal tools, and production AI integrations.
• Collaborate closely with product, engineering, building science, sales, and leadership teams to prioritize and deploy high‑impact solutions quickly.
• Help define the technical roadmap for applied AI across QEA’s product and revenue systems.
• Provide technical direction to junior or intermediate engineers as the AI team grows.

The ideal candidate has 5+ years of experience in applied AI, machine learning, data engineering, computer vision, LLM‑based systems, or growth engineering.

They are a strong hands‑on builder with experience shipping production systems, not just experiments or prototypes. They are comfortable working with ambiguous business problems, translating them into technical solutions, and iterating quickly based on real‑world feedback.

This person should be capable of operating as a senior technical lead, helping QEA prioritize AI initiatives and eventually directing junior or intermediate team members as execution needs grow.

Strong experience with:

• Python and modern AI / ML development workflows
• Machine learning frameworks and production model deployment
• Computer vision systems, especially image‑based detection, segmentation, classification, or analysis
• LLM‑based systems, including document processing, workflow automation, retrieval, structured extraction, or AI‑assisted content generation
• Structured and unstructured data
• Data pipelines and model improvement workflows
• Deploying AI systems into production environments
• APIs, SaaS product development, dashboards, or internal automation tools

Experience with any of the following would be valuable:

• Building science, energy modelling, construction, retrofits, or real estate analytics
• Drone imagery, thermal imagery, geospatial data, or 3D building data
• Proposal automation, sales enablement tools, or portfolio analysis systems
• Marketing automation, lead scoring, or AI‑driven outbound systems
• Startup or scale‑up environments where speed, ownership, and ambiguity are part of the role

Execution‑focused builder.

This person should move quickly, prioritise impact, and be comfortable working across technical and…