AI Forward Deployed Engineer (Commercial-focused)

About the role

Help transform how commercial teams leverage AI to drive business growth. In this role, you'll design, build, and scale AI-powered solutions that support demand operations, prospecting, pipeline management, proposals, and bids. Your work will directly improve efficiency, enhance decision-making, and help commercial teams focus on winning new business. You'll partner closely with Demand Operations, business development representatives, proposal writers, and pricing stakeholders to create practical, high-impact solutions built on governed commercial data. From AI-assisted proposal drafting to next-best-action recommendations, you'll help shape the future of how commercial teams work. This is an opportunity to build innovative products from the ground up, drive adoption with end users, and deliver measurable value through modern AI, Databricks, and Salesforce-based solutions.

Where You'll Work

This is a REMOTE role open to candidates based in [LOCATION]. You will collaborate with global teams across multiple time zones.

Responsibilities

• Build and deliver AI-powered commercial solutions that support demand operations, prospecting, proposals, and bid development.
• Develop and enhance an assisted proposal and bid drafting capability using governed content and sponsor-specific context.
• Integrate AI applications with Salesforce and other commercial systems to leverage opportunity, account, pipeline, and marketing data.
• Create retrieval and knowledge solutions across proposal, contract, and bid content to improve commercial decision-making.
• Partner with DemandOps teams to improve intake processes, account segmentation, pipeline visibility, and win-rate insights.
• Support prospecting initiatives through next-best-action recommendations and AI-assisted outreach content.
• Collaborate directly with end users to refine products, gather feedback, drive adoption, and measure business impact.
• Monitor solution performance, track usage metrics, and continuously improve AI capabilities and user experiences.

Requirements

• Bachelor's degree or equivalent combination of education, skills, and relevant experience.
• 2+ years of hands-on experience with Databricks and modern data and AI platforms.
• 2+ years of LLM application engineering experience, including prompt engineering, context engineering, retrieval, structured outputs, and evaluation.
• 2+ years of experience using Python, with the ability to deliver user-facing