Senior Forward Deployed Engineer (FDE) Lead

Zyter; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Zyter is seeking a Senior FDE Lead to be the embedded client-facing technical builder who rapidly converts design decisions into working configurations, AI workflows, prototypes and demonstrations. This role requires hands-on software/AI engineering ability, solution architecture, and the ability to prototype with clients in near real time.

The FDE Lead should be comfortable in client design sessions, understanding requirements, translating them into technical approaches, building or configuring

Qualifications

• Hands-on experience with Python and modern LLM APIs.
• Demonstrated ability to design and test AI-enabled workflows.
• Experience with API integration and data transformation.

Responsibilities

• Embed directly with client functional, clinical and technology teams.
• Translate Model Office decisions into working sandbox configurations and prototypes.
• Develop and configure AI-enabled workflows and agents.
• Write code where required to integrate, prototype or extend platform capabilities.
• Test AI outputs and workflow behavior against expected outcomes.
• Build evaluation approaches and use results to improve prompts, models, agents and workflow logic.
• Work with business/clinical users to gather feedback and iterate rapidly.
• Troubleshoot issues across configuration, APIs, data, AI behavior and workflow orchestration.
• Maintain and prioritize the configuration/FDE backlog.
• Lead other FDEs and potentially coach Nexus Fellows.
• Partner with core Product and Engineering teams when prototype/configuration work needs to become hardened product functionality.
• Demonstrate working functionality directly to client stakeholders.

Skills

Python

Modern LLM APIs and frameworks

Agentic AI / orchestration

Prompt and context engineering

AI evaluation/testing

APIs and integration

JSON / data transformation

SQL and data analysis

Cloud environments

Rapid prototyping

Workflow/configuration platforms

Git and modern software-development

Job description

Remote

Role Summary

The Senior FDE Lead will be the embedded client-facing technical builder who converts Model Office and design decisions rapidly into working configurations, AI workflows, prototypes and demonstrations.

This person needs the unusual combination of software/AI engineering ability, solution architecture, rapid prototyping and client presence.

The FDE Lead should be comfortable sitting in a client design session, understanding a requirement, translating it into a technical approach, building or configuring it rapidly, testing it with users, learning from the results and iterating in near-real time.

This is emphatically not a traditional project manager or solution architect who hands requirements to an offshore development team. The person must be able to build.

Key Responsibilities

• Embed directly with client functional, clinical and technology teams.
• Translate Model Office decisions into working sandbox configurations and prototypes.
• Develop and configure AI-enabled workflows and agents.
• Write code where required to integrate, prototype or extend platform capabilities.
• Test AI outputs and workflow behavior against expected outcomes.
• Build evaluation approaches and use results to improve prompts, models, agents and workflow logic.
• Work with business/clinical users to gather feedback and iterate rapidly.
• Troubleshoot issues across configuration, APIs, data, AI behavior and workflow orchestration.
• Maintain and prioritize the configuration/FDE backlog.
• Lead other FDEs and potentially coach Nexus Fellows.
• Partner with core Product and Engineering teams when prototype/configuration work needs to become hardened product functionality.
• Demonstrate working functionality directly to client stakeholders.

Technical Profile

Candidates should have meaningful hands-on experience with several of the following:

• Python
• Modern LLM APIs and frameworks
• Agentic AI / orchestration
• Prompt and context engineering
• AI evaluation/testing
• APIs and integration
• JSON / data transformation
• SQL and data analysis
• Cloud environments
• Rapid prototyping
• Workflow/configuration platforms
• Git and modern software-development practices

Healthcare experience is helpful but technical capability and FDE mentality are more important for this role.