Lead AI Platform Engineer - Medicare Technology

Job Description

We are hiring a Platform Engineer to build and operate the infrastructure, orchestration, integrations, and guardrails that enable conversational, agentic, and automation AI systems to run securely, reliably, and at scale in a healthcare environment.

This is a foundational role within a small, high-impact AI pod. The individual will not only build the platform capabilities needed to productionize AI solutions but will also serve as a technical leader and mentor, helping upskill existing developers and shaping the future growth of the team. The team will likely leverage platforms such as Kore.ai, but this role requires someone who can design and build AI systems both within and outside of such platforms, ensuring flexibility, scalability, and avoidance of vendor lock-in.

Over time, this role is expected to evolve into a Pod Lead, as the organization scales from one pod into multiple specialized pods.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• Strong experience in backend or platform engineering

• Proven experience building production-grade distributed systems

• Experience designing and implementing:

o APIs and microservices

o asynchronous or event-driven systems

o workflow orchestration systems

• Experience integrating:

o enterprise systems

o external APIs and services

• Strong programming skills (Python, Java, or similar)

• Cloud platform experience - Azure

• Observability and monitoring tools experience

• AI Systems Exposure

• Experience supporting or working with AI/ML systems in production

• Familiarity with:

o LLM-based applications

o multi-step AI workflows or agent systems

o RAG or data-driven AI pipelines

• Healthcare and Compliance experience

• Strong understanding of:

o HIPAA and data privacy requirements

o building compliant, auditable systems