AI Forward Deployed Engineer

AI Forward Deployed Engineer

Location

Remote, USA

Employment Type

Full-Time

Benefits Offered

Vision, Medical, Life, Dental, 401K

Gross Annual Base Salary

USD 120,000 - 149,000

Additional variable compensation and benefits may apply. Total compensation is based on experience, skills, and location using objective, job-related criteria.

Summary

As an AI Forward Deployed Engineer (FDE), you are a hands-on bridge between SensibleAI capabilities and real-world customer outcomes. You design, implement, and harden cross-product AI solutions-spanning SensibleAI Forecast, Studio, and Agents, Genesis Blocks, and the OneStream core platform. You partner with Delivery and Engineering to validate value, improve reliability, and codify reusable patterns that others can adopt.

Primary Duties and Responsibilities

• Apply OneStream, AI, and enterprise software expertise to help customers deliver transformative AI solutions within the OneStream ecosystem.
• Play a key role in hands-on delivery for AI-focused implementations, expansion projects, and established deployments-not just early-stage POCs.
• Interact, collaborate, and present to a diverse set of stakeholders (developers, sponsors, executives) to deliver AI-focused implementations.
• Play a growing role in orchestrating the evolving SensibleAI Portfolio (Forecast, Studio, Agents) with OneStream core to deliver modular solutions tailored to complex financial and analytics requirements.
• Produce reusable demos, implementations, checklists, workflows, best practices, and concise instructional videos that enable Presales, Delivery, Partners, and customers to leverage your learnings.
• Diagnose and resolve AI solution field issues; document decisions and trade-offs; support Delivery and Partner teams with structured guidance.
• Collaborate with AI Delivery to harden solutions for production and with AI Engineering to channel learnings and product gaps back into roadmaps.
• Engage directly with finance and data teams; work with partner FDEs to increase capability and consistency across the ecosystem; facilitate workshops and office hours.

Required Education and Experience

• Bachelor's degree in computer science, data science, or relevant combination of education and experience.
• 0-2 years of software engineering experience, with a focus on data science, AI, or machine learning concepts.
• 1-2 years of industry experience in Applied Artificial Intelligence and/or Machine Learning.
• 1-3 years of experience delivering/implementing enterprise software solutions in FP&A/CPM/EPM or data/AI platforms, including at least 1 year in customer-facing build roles.
• Demonstrated success contributing to POCs or early implementations that transitioned to scaled rollout or productized assets.
• Strong SQL; data modeling and ETL/ELT; REST APIs, identity/security basics.
• Experience in Python and/or C#; automation and packaging; familiarity with containerization is a plus.
• Experience in producing insightful data visualizations of complex concepts and dataset.

Preferred Education and Experience

• Direct experience with OneStream implementations or building Genesis Blocks / Marketplace content.
• Direct experience within a prior Forward Deployed Engineering role.

Knowledge, Skills, and Abilities

• Translate complex technical concepts into business value for finance stakeholders.
• Depth in one or more areas (e.g., forecasting, LLM apps, CPM modeling) with breadth across data, integrations, and platform operations.
• Hypothesis-driven approach; comfort operating with ambiguity; strong documentation and diagramming habits.
• Work cross-functionally with Product, Engineering, Delivery, CS, Presales, and Partners; give/receive design feedback.
• Design for reuse; produce assets others can adopt; contribute to internal standards.
• Apply data privacy and governance guidelines in solution design.
• Comfortable engaging and presenting to management level executives from time to time.

Travel (remove if not applicable)

• Up to 25% travel may be required for discovery, workshops, readouts, and early implementation milestones.

All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship.

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