AI Forward Deployed Engineer
About The Position
As an AI Forward Deployed Engineer (FDE), you serve as 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. The role delivers AI-focused customer implementations, expansion projects, and established deployments. It involves working directly with finance and data teams and collaborating with a broad set of stakeholders, including developers, sponsors, executives, delivery teams, partners, and product and engineering colleagues. You will develop reusable assets and guidance, resolve field issues, and help prepare solutions for production and inform product roadmaps. Travel of up to 25% may be required for discovery, workshops, readouts, and early implementation milestones. The role has no supervisory responsibilities.
Requirements
- Bachelor's degree in computer science, data science, or a relevant combination of education and experience.
- 0–2 years of software engineering experience focused 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 or 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 proofs of concept or early implementations that transitioned to scaled rollout or productized assets.
- Strong SQL skills and experience with data modeling, ETL/ELT, REST APIs, and identity/security basics.
- Experience with Python and/or C#.
- Experience producing insightful data visualizations of complex concepts and datasets.
- Ability to translate complex technical concepts into business value for finance stakeholders.
- Depth in one or more areas such as forecasting, LLM apps, or CPM modeling, with breadth across data, integrations, and platform operations.
- Hypothesis-driven approach, comfort operating with ambiguity, and strong documentation and diagramming habits.
- Ability to work cross-functionally with Product, Engineering, Delivery, CS, Presales, and Partners, and to give and receive design feedback.
- Ability to design for reuse, produce adoptable assets, and contribute to internal standards.
- Ability to apply data privacy and governance guidelines in solution design.
- Comfort engaging and presenting to management-level executives from time to time.
- Must be legally authorized to work in the country of the job position as a precondition of employment and, as stated in the posting, authorized to work there without sponsorship.
Nice To Haves
- Direct experience with OneStream implementations or building Genesis Blocks/Marketplace content.
- Direct experience in a prior Forward Deployed Engineering role.
- Familiarity with containerization.
Responsibilities
- Apply OneStream, AI, and enterprise software expertise to help customers deliver transformative AI solutions within the OneStream ecosystem.
- Contribute hands-on to AI-focused implementations, expansion projects, and established deployments, not only early-stage proofs of concept.
- Collaborate with and present to stakeholders including developers, sponsors, and executives to deliver AI-focused implementations.
- Orchestrate the evolving SensibleAI portfolio—Forecast, Studio, and Agents—with the OneStream core platform to deliver modular solutions for complex financial and analytics requirements.
- Produce reusable demos, implementations, checklists, workflows, best practices, and concise instructional videos for Presales, Delivery, Partners, and customers.
- Diagnose and resolve AI solution field issues, document decisions and trade-offs, and provide structured guidance to Delivery and Partner teams.
- Collaborate with AI Delivery to harden solutions for production and with AI Engineering to communicate learnings and product gaps for roadmap consideration.
- Engage directly with finance and data teams and work with partner FDEs to increase capability and consistency across the ecosystem.
- Facilitate workshops and office hours.
Benefits
- Excellent medical plan
- Dental and vision insurance
- Life insurance
- Short- and long-term disability
- Vacation time
- Paid holidays
- Professional development
- Retirement plan
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
