AI Forward Deployed Engineer – Commercial-focused

Worldwide Clinical Trials

. Build and deliver AI-powered commercial solutions supporting demand operations, prospecting, proposals, and bid development .

Posted 10/13/2026full-timeRemote • United StatesJuniorMid-Level💰 $121,500 - $240,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-powered commercial solutions, integrating AI applications with Salesforce, and enhancing proposal and bid drafting capabilities. Proficient in data analysis and collaboration with stakeholders to drive product adoption and improve operational efficiency.

Highest-signal resume keywords

AI-Powered Commercial SolutionsLLM Application EngineeringPython DevelopmentSalesforce IntegrationCommercial Operations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DatabricksPrompt EngineeringContext EngineeringRetrievalStructured OutputsEvaluationSales Funnel ManagementProposal DevelopmentBid DevelopmentPipeline Management

Soft Skills

Strong Communication SkillsCollaboration

Tools & Technologies

Microsoft 365CopilotMLflowDatabricks Vector SearchDatabricks GenieGenie CodeGenieOne

Industry Keywords

Demand OperationsProspectingAccount SegmentationWin-Rate InsightsUser Experience

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Build and deliver AI-powered commercial solutions supporting demand operations, prospecting, proposals, and bid development
Develop and enhance assisted proposal and bid drafting capabilities using governed content and sponsor-specific context
Integrate AI applications with Salesforce and other commercial systems using opportunity, account, pipeline, and marketing data
Create retrieval and knowledge solutions across proposal, contract, and bid content
Partner with DemandOps teams to improve intake processes, account segmentation, pipeline visibility, and win-rate insights
Support prospecting through next-best-action recommendations and AI-assisted outreach content
Collaborate 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

What you’ll need

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 applications through web, Databricks, or Microsoft 365 environments
Experience building against Salesforce as a primary commercial system of record, including opportunities, accounts, pipeline, reporting, and related integrations
Strong understanding of commercial operations, including sales funnels, demand operations, prospecting, pipeline management, proposals, and bids
Experience with Microsoft 365 and Copilot, MLflow, Databricks Vector Search, Databricks Genie, Genie Code, or GenieOne preferred
Proficiency in English
Strong communication skills and ability to collaborate effectively with commercial and technical stakeholders

Benefits

Comp & perks

Competitive benefits package depending on location
Transparent compensation and pay equity
Inclusive and equitable workplace