As a Forward-Deployed Engineer, you will operate at the intersection of engineering and customer impact, serving as the primary technical advisor during customer engagements. Your role is to deeply understand enterprise workflows, identify integration opportunities, and rapidly build Python-driven proof-of-concepts that demonstrate tangible value.
Key Responsibilities
- Conduct technical discovery sessions with customer teams to map systems, data flows, and operational constraints
- Convert ambiguous business challenges into clear technical plans, communicated effectively to both engineers and non-technical stakeholders
- Develop functional prototypes using AI orchestration frameworks and multi-agent architectures to validate use cases
- Deploy and configure the Mosaic platform within customer environments, ensuring compatibility with existing infrastructure
- Design integration patterns between Mosaic and enterprise systems such as SAP, Salesforce, Workday, and Snowflake
- Act as the technical liaison during onboarding, troubleshooting issues and coordinating with engineering teams when needed
- Represent customer needs internally, feeding real-world constraints and edge cases into product and engineering discussions
- Contribute code to implementation efforts and collaborate on pull requests for customer-driven features
- Work across time zones and travel as needed to support key deployments and stakeholder meetings
What You Bring
- At least 5 years in technical customer-facing roles such as solutions engineering, implementation, or consulting
- Strong fluency in Python and experience building production-like prototypes under tight timelines
- Hands-on familiarity with REST APIs, backend integration patterns, and enterprise data systems
- Exposure to AI/ML workflows, LLMs, or agent-based systems
- Ability to navigate complex organizations, engaging both developers and business leaders
- Clear, credible communication skills—capable of adjusting depth based on audience
- Proven track record of owning technical outcomes from scoping through deployment
Technology Environment
You’ll work with Python, modern AI orchestration tools, multi-agent architectures, cloud platforms (AWS, GCP, Azure), enterprise APIs, workflow automation systems, and observability tooling. Integrations may include MuleSoft, Snowflake, and other core enterprise data platforms.
Culture & Expectations
This role thrives in a culture of extreme ownership, rapid iteration, and technical innovation at the edge of applied AI. You move quickly, take initiative, and ensure customer realities directly shape product evolution. Onsite presence is required in San Jose, CA, with regular travel to customer locations across the U.S.
