Senior Forward Deployment Engineer

About the role

This is a Senior Forward Deployment Engineer position, located in Bellevue, WA; Frisco, TX; or Atlanta, GA, with a duration of 1 year. The primary skill set required is Python, Embedding, LLM, and Agentic AI/GenAI builds.

Responsibilities

The successful candidate will embed with internal teams and external customers to understand their workflows, pain points, and goals, and design and deploy solutions that fit. They will build production-quality code, integrations, and automations across AI/GenAI, data, and software platforms to solve concrete business problems.

• Prototype rapid prototypes and proofs-of-concept, iterate based on direct user feedback, and move them into reliable, scalable production.
• Integrate data pipelines, APIs, and third-party systems, handling the real-world messiness of enterprise environments.
• Partner with end users and stakeholders - running demos, gathering requirements, troubleshooting live, and translating technical concepts into business value.
• Feed recurring pain points and friction back to product and engineering teams to influence the core roadmap.
• Monitor and improve solutions for reliability, performance, and adoption after launch - owning outcomes, not just deliverables.
• Establish the playbooks, standards, and tooling for the FDE function, and mentor junior engineers as the team grows.

Requirements

The ideal candidate will have 8+ years of experience building and shipping software in production, including significant time owning complex, ambiguous projects end-to-end with minimal supervision.

• Deep, hands-on programming expertise (e.g., Python, JavaScript/TypeScript, Java, or Go), strong system design judgment, and fluency working across the full stack and with APIs.
• Platform fluency: Proven experience with data tools (SQL, pipelines, warehouses such as Snowflake/Databricks) and/or AI/GenAI tooling (LLMs, RAG, agentic workflows).
• A track record of customer-facing or forward-deployed work - shipping solutions directly with end users, navigating enterprise complexity, and earning the trust of senior stakeholders.
• Leadership: Experience leading projects, setting technical direction, and raising the bar for those around you - formally or informally.
• Communication: Exceptional written and verbal communication; ability to translate fluidly between deep technical detail and executive-level business value.
• Bias for action: A track record of shipping, learning, and iterating.

Nice to Have

• Experience deploying AI/ML or LLM-based solutions in an enterprise setting.
• Cloud experience (AWS, GCP, or Azure) and familiarity with CI/CD and containerization.
• Experience as a founding or early member of a new team or function.
• Telecommunications or large-scale enterprise data domain knowledge.

Expectations

The successful candidate will be expected to act creatively to develop applications and select appropriate technical options, optimizing application development, maintenance, and performance by employing design patterns and reusing proven solutions.

• Account for others' developmental activities and interpret the application/feature/component design to develop the same in accordance with specifications.
• Code, debug, test, document, and communicate product/component/feature development stages.
• Validate results with user representatives; integrate and commission the overall solution.
• Optimize efficiency, cost, and quality, and influence and improve customer satisfaction.
• Set FAST goals for self and team.

Performance Areas

• Code as per design, following coding standards, templates, and checklists.
• Review code for team and peers, and create/review templates, checklists, guidelines, standards for design/process/development.
• Configure and define configuration management plans, ensuring compliance from the team.
• Test and review unit test cases, scenarios, and execution, providing clarifications to the testing team.
• Domain relevance: Advise software developers on design and development of features and components with a deep understanding of the business problem being addressed for the client.