Staff Forward Deployed Engineer, Technology Lead

New

JobgetherHealthcare AI

Based in United StatesFull-TimeStaff

SalaryBase salary range of $220,000–$245,000 USD

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Job Details

5+ years of professional experience with a proven track record in product management, solution architecture, or closely related technical roles.
Strong hands-on experience with agentic AI design, prompt engineering, and AI architecture.
Demonstrated programming proficiency in Python, Java, C++, TypeScript/JavaScript, or a comparable language.
Strong understanding of emerging LLM technologies and their practical application in production environments.
Experience designing and troubleshooting complex technical systems with a high degree of independence.
Strong communication and influencing skills, with the ability to collaborate effectively with executives, technical teams, operational stakeholders, and end users.
High customer empathy and a demonstrated passion for solving meaningful real-world problems.
Ability to operate autonomously and take ownership in a rapidly changing environment with evolving objectives and iterative user feedback.
Proven ability to work effectively across technical and non-technical teams.
Willingness and ability to travel to client sites as needed, with expected travel of approximately 25–50%.

Lead a five-person forward-deployed team working directly with client stakeholders to deliver AI-powered operational transformation.
Develop a deep understanding of client environments, workflows, and challenges to identify high-impact opportunities for bespoke AI solutions.
Design, implement, execute, and continuously optimize AI-powered operational assistant use cases tailored to client needs.
Build advanced conversational systems using leading LLM technologies such as GPT, Claude, Gemini, and LLaMA.
Apply agentic frameworks, prompt engineering, and conversation modeling techniques including state machines, decision trees, and graph-based workflows.
Integrate AI agents with APIs, CRMs, enterprise systems, and other client technology environments in collaboration with backend engineering teams.
Continuously tune AI agents using real-world user data and resolve breakdowns, mismatches, fallback issues, and other performance challenges.
Partner with AI solution consultants, architects, engineers, data scientists, and client teams to define and refine product requirements.
Mentor and support cross-functional teammates while promoting strong technical and delivery practices.

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