Principal AI Engineer - Innovation

Qualifications

• 8+ years of software, data, ML, or AI engineering experience, with experience operating at a Staff, Principal, or Architect level.
• Strong hands-on expertise in Python, SQL, APIs, system design, and distributed systems.
• Experience architecting large-scale data pipelines and data-intensive applications, including messy or legacy enterprise data.
• Production experience with LLMs, agents, RAG, vector/hybrid retrieval, tool calling, and agent orchestration frameworks such as LangGraph or equivalent.
• Experience with modern data architectures including ETL/ELT, lakehouses/warehouses, streaming or CDC, distributed compute, and analytical databases.
• Strong understanding of cloud architecture, containers, CI/CD, security, observability, and production operations.
• Experience designing evaluation and monitoring for LLM/agent reliability, accuracy, latency, and cost.
• Ability to make sound architectural choices across LLMs, traditional ML, search, SQL, deterministic software, and data engineering, rather than defaulting every problem to GenAI.
• Experience using AI coding tools such as OpenAI Codex, GitHub Copilot, Claude Code, or equivalent.
• Strong ownership and communication skills, with the ability to operate effectively in ambiguous 0→1 environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field; advanced degree preferred.
• What Makes This Role Different
• You will solve the difficult engineering problems behind enterprise AI: connecting fragmented data, modernizing access to legacy systems, building scalable retrieval and analytical architectures, orchestrating intelligent workflows, and turning emerging AI capabilities into reliable products used in real healthcare environments.
• Other Skills
• Strong problem-solving, critical-thinking, communication, and organizational skills.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Ability to operate effectively in a fast-moving, cross-functional environment.
• Preferred Qualifications
• Experience in healthcare, health technology, insurance, claims, payment integrity, or other regulated industries.
• Experience building AI systems that process sensitive data, including PHI or PII.
• Experience with process automation and integration across enterprise workflows and systems.
• Compensation
• The base salary range for this position is $190K to $210K. Specific compensation offers are determined based on a variety of factors, including the candidate’s education, experience, skills, work location, and internal equity considerations. In addition to base salary, this position is eligible for an annual performance bonus and a comprehensive benefits package, including health insurance and a 401(k) retirement plan.
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