Director of AIML Engineering

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Full Time US

4 days ago Requisition

ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies.

Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world. ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy.

Ellkay is seeking a highly technical Director of AI/ML Engineering to lead, scale, and mentor a top-tier team of Staff AI Systems Integration Engineers and MLOps/GenAIOps Engineers. In this role, you will own the technical architecture, execution, and operational performance of enterprise-grade, autonomous Agentic AI systems, LLM workflows, and core machine learning platforms.

As a technical leader with high-fidelity thinking, you will bridge the gap between complex engineering execution and strategic vision. You will partner closely with Product Management to define product scope, translate business goals into scalable technical strategies, and build robust, end-to-end solutions that operate seamlessly within production healthcare ecosystems.

• Partner directly with Product Management and executive leadership to define product scope, multi-agent capabilities, and technical roadmaps.
• Translate broad, complex business and product requirements into clear technical designs, multi-agent orchestration architectures, and actionable engineering milestones.
• Drive high-fidelity problem-solving to evaluate build-vs-buy decisions, foundational model selections, tool-calling strategies, and infrastructure investments.

• Oversee the end-to-end implementation of multi-agent coordination frameworks (e.g., Bedrock Agents, Lang Graph, Auto Gen), agentic state persistence layers, and tool-use pipelines.
• Provide architectural oversight across real-time and event-driven data pipelines, REST/gRPC microservices, AWS CDK constructs, and healthcare data integration standards (FHIR R4, HL7 v2, USCDI).
• Champion rigorous engineering standards across the team for code quality, system integration, agent execution trajectories, unit/integration testing, and deployment hygiene.

• Oversee the operational lifecycle of AI/ML models and autonomous agents, including automated retraining pipelines, prompt/agent versioning, vector index versioning, and continuous evaluation (LLM-as-a-Judge, held-out test sets).
• Enforce robust Agent Ops and observability practices using trajectory tracking, token/cost monitoring, execution latency tracking, and guardrail performance metrics.
• Ensure all AI/ML architectures and agent runtimes comply with strict regulatory frameworks, including HIPAA, PHI/PII redaction, least-privilege tool execution controls, and zero-leakage data…