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Salary: USD 114,000 - 148,000 / annual
OneStream is seeking an AI Forward Deployed Engineer to serve as a hands-on bridge between SensibleAI capabilities and real-world customer outcomes. In this role, you will design, implement, and harden cross-product AI solutions spanning SensibleAI Forecast, Studio, and Agents, Genesis Blocks, and the OneStream core platform. You will partner closely with Delivery and Engineering teams to validate value, improve reliability, and codify reusable patterns that others can adopt.
Key responsibilities include:
- 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 diverse stakeholders including developers, sponsors, and executives to deliver AI-focused implementations
- Orchestrate 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 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
OneStream is on a mission to empower every Finance organization and professional to exceed their potential. The company builds the operating system for modern Finance, helping organizations move with greater speed, clarity, and confidence.
REQUIREMENTS:
- Bachelor's degree in computer science, data science, or relevant combination of education and experience
- 5+ years of professional software development experience
- Hands-on expertise with Python, SQL, and cloud platforms (AWS, Azure, or GCP)
- Demonstrated experience designing and implementing AI/ML solutions in production environments
- Strong understanding of financial systems, data pipelines, and analytics workflows
- Excellent communication and stakeholder management skills
- Ability to work independently and collaboratively across distributed teams
