Lead AI/ML Solutions Architect

3 days ago

Chennai, Tamil Nadu, India beBeeSolutions Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Lead AI/ML Solutions Architect

We are seeking an accomplished AIML Technical Delivery Manager to lead our efforts in transforming the US healthcare ecosystem with AI and ML solutions.

This is a pivotal leadership role focusing on the delivery, operations, and evolution of scalable, production-grade ML models, with a special emphasis on US health insurance use cases.

You will be responsible for driving engagement between Indian and US stakeholders, ensuring excellence at every stage of project execution from ideation to production deployment.

Key Responsibilities

  • Technical Strategy: Drive the AI/ML programs technical strategy, ensuring alignment with both business needs and company objectives.
  • Architectural Leadership: Guide architectural choices, experiment with innovative technologies, and foster technical best practices among AI teams.
  • Team Management: Mentor and manage a high-performing team of ML Engineers, MLOps, and Data Engineers.
  • Delivery Oversight: Plan and oversee end-to-end delivery of advanced analytics platforms and ML models for critical US healthcare applications.
  • Risk Management: Manage day-to-day technical operations, ensuring delivery meets scope, quality, and timeline expectations.

Requirements

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience: 12-18 years of overall experience, including 5+ years in delivery/AI project management and at least 3 years working directly in US Health Insurance or US Healthcare Analytics.
  • Skills: Hands-on expertise and leadership in end-to-end MLOps pipelines from data ingestion, model experimentation, deployment to monitoring. Proven ability to take AIML solutions from PoC to production in the US healthcare domain, demonstrating measurable business impact.
  • Communication: Exceptional communication, stakeholder management, and presentation abilities; capable of interfacing with both technical and business audiences, including C-suite leaders.
  • Leadership: Demonstrable experience leading, developing, and motivating multidisciplinary AI teams (10+ people), fostering innovation and collaboration.
  • Culture Fit: Experience with diverse, globally distributed teams; adept at working across time zones and cultures.

Preferred Attributes

  • Product Development: Prior product development experience in US payer/provider landscape or value-based care analytics.
  • Regulatory Compliance: Exposure to regulatory/privacy compliance relevant to US healthcare (HIPAA, etc.).
  • Automation: Experience implementing automation and CI/CD for ML models at scale.

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