Forward Deployed Engineer
About The Position
The Forward Deployed Engineer will own the technical customer journey, turning complex enterprise challenges into high-value, production-grade AI solutions. The role bridges technical strategy and customer execution, partnering closely with product, sales, and engineering leaders to guide strategic clients from technical discovery through implementation, production rollout, adoption, and scaling. The position includes leading client engagements from discovery and solution design through hands-on implementation and ongoing adoption; supporting pre-sales technical discovery and architecture; and building production AI systems with modern language models and related technologies. The engineer will also turn recurring customer insights into reusable components, tools, playbooks, and product improvements, while proactively identifying opportunities and executing in an autonomous, fast-paced environment. The role may be remote from the United States or Europe, or hybrid in New York City. NYC-based candidates are expected to work in-office two to three days per week. Travel of up to 30% annually is listed as a preferred qualification.
Requirements
- At least 5 years of experience as a Forward Deployed Engineer, Solutions Engineer, Sales Engineer, Founding Engineer, or Product Engineer, with significant end-to-end customer ownership.
- A proven history of taking ambiguous client challenges from discovery through production deployment and measurable business impact.
- Ability to evaluate trade-offs involving client needs, product features, engineering complexity, cost, and latency.
- Proficiency with Python and/or Rust, React/TypeScript, SQL, APIs, system integrations, authentication protocols, cloud infrastructure, and production observability.
- Hands-on experience building AI-powered applications, including work with model APIs, context management, tool integration, retrieval architectures, model evaluation, and performance optimization.
- Based in the United States or Europe for remote arrangements; NYC-based candidates work in-office two to three days per week.
- High agency and comfort working autonomously in fast-paced, ambiguous environments.
Nice To Haves
- Ability to travel up to 30% annually for in-person team collaboration and client engagements.
- Exceptional written and verbal English communication skills, including the ability to explain complex technical architecture to technical and executive audiences.
- Familiarity with profiling tools, optimization techniques, and low-latency system design.
Responsibilities
- Own strategic client engagements across the full lifecycle, including technical discovery, scoping, architecture design, implementation, evaluation, production rollout, and long-term adoption.
- Partner with the commercial team during pre-sales to lead technical discovery, design tailored AI solutions, and validate high-value customer opportunities.
- Drive post-sales success by building and integrating production AI systems that move clients from initial concepts to full production environments.
- Develop scalable AI applications using large language models, model APIs, tool calling, retrieval-augmented generation, context management, structured outputs, and agentic workflows.
- Translate customer insights into product enhancements by identifying patterns across deployments and developing reusable components, playbooks, tooling, and product features.
- Identify operational and technical opportunities, form architectural points of view, and execute without requiring rigid direction.
Benefits
- Competitive equity package aligned with performance and growth.
- Opportunity to play a foundational role within a rapidly growing global technology organization.
- Remote options in the United States or Europe, or hybrid flexibility in New York City.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
