Dir AI/ML Engineering

We are seeking an experienced Director, AI/ML Engineering to lead the design, development, and delivery of next-generation AI-native products and Agentic AI solutions. This role requires a hands-on technology leader with 15+ years of software engineering experience and deep expertise in Artificial Intelligence, Machine Learning, Large Language Models (LLMs), and Agentic AI platforms.

The ideal candidate will have a proven track record of building and scaling AI-powered products, leading multiple Agile/Scrum teams, and driving enterprise-wide AI transformation initiatives. You will work closely with business executives, product leaders, architects, and engineering teams to define AI strategy, deliver innovative solutions, and ensure successful execution through AI-Driven Software Development Lifecycle (AIDLC) practices.

This leader must be equally comfortable discussing executive-level business strategy and diving deep into system architecture, model development, orchestration frameworks, MCP-based integrations, AI agents, and production-scale deployment. Healthcare domain experience is highly desirable, particularly in developing responsible, scalable, and compliant AI solutions that improve business and customer outcomes.

Key Responsibilities

• Lead the strategy, architecture, development, and delivery of AI-native products and platforms.
• Design and implement Agentic AI solutions leveraging LLMs, multi-agent systems, orchestration frameworks, MCP servers, and enterprise data platforms.
• Provide hands-on technical leadership in AI/ML model development, deployment, evaluation, and continuous improvement.
• Manage and mentor multiple Scrum teams while fostering a high-performance engineering culture.
• Drive execution using AIDLC methodologies and modern software engineering best practices.
• Partner with business stakeholders and executive leadership to align AI initiatives with organizational goals and measurable outcomes.
• Establish engineering standards for Responsible AI, security, scalability, governance, and operational excellence.
• Lead product roadmaps, delivery planning, resource management, and organizational capability development.
• Ensure successful production deployment and operationalization of AI solutions with measurable business impact.
• Stay current with emerging AI technologies and drive innovation across the enterprise.

Required Qualifications

• 15+ years of software engineering and technology leadership experience.
• 4+ years of hands-on experience developing and deploying Agentic AI solutions.
• Strong expertise in AI/ML, Generative AI, LLMs, RAG, orchestration frameworks, and AI agents.
• Demonstrated success building and scaling AI-native products from concept to production.
• Experience leading multiple Agile/Scrum teams and large-scale engineering programs.
• Strong stakeholder management skills with experience presenting to executive leadership.
• Deep understanding of Software Development Life Cycle (SDLC) and AI-Driven Life Cycle (AIDLC) methodologies.
• Hands-on proficiency in AI application development, architecture, cloud platforms, APIs, and enterprise integration patterns.
• Excellent leadership, organizational, communication, and people-management skills.

Preferred Qualifications

• Healthcare or HealthTech industry experience.
• Experience with clinical, claims, provider, member, or population health data.
• Familiarity with Responsible AI, governance, security, privacy, and regulatory compliance.
• Experience building enterprise AI platforms, clinical AI solutions, or workflow automation systems.

Success Profile

A visionary yet hands-on leader who can transform business challenges into scalable AI solutions, inspire engineering teams, influence executives, and accelerate enterprise adoption of AI through innovation, technical excellence, and disciplined execution.