Senior Manager, AI and Data Engineering

Summary

Join Modernizing Medicine (ModMed), a leading healthcare technology company, as a Senior Manager of AI & Data Engineering in Hyderabad! This unique opportunity involves building and leading a high-performing team, driving AI development and integration across our software products. You will architect and deploy AI models, strategize AI and LLM solutions, and enhance our products with AI-driven features. Success requires proven experience in AI development and data engineering, strong expertise in machine learning, and proficiency in various programming languages and tools. ModMed offers a competitive benefits package, including comprehensive medical, dental, and vision benefits, 401(k) matching, generous paid time off, and professional development opportunities.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field; advanced degree preferred
• Proven experience in AI development and data engineering, with a track record of leading successful AI projects
• Strong expertise in machine learning, deep learning, data modeling, and algorithm development
• Proficiency in programming languages and tools such as Python, R, TensorFlow, PyTorch, and data engineering platforms
• Knowledge of big data architectures and processing techniques
• Advanced proficiency with Databricks, including designing, optimizing, and managing workflows on the platform (Databricks experience is a must-have)
• Proficiency in SQL, alongside experience with both relational and non-relational databases
• Experience building and leading teams of engineers in a fast-paced environment
• Excellent problem-solving skills and a strategic vision for AI technologies
• Strong communication and leadership skills, with the ability to collaborate and influence at all organizational levels
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with Agile methodologies and project management tools

Responsibilities

• Build and Lead AI Teams: Hire, develop, and lead high-performing AI development and data engineering teams, providing strategic and tactical direction to deliver cutting-edge AI and LLM solutions
• Cultivate Innovation and Excellence: Mentor teams of AI product engineers and data engineers, fostering a culture that prioritizes creativity, experimentation, and excellence in AI and machine learning (ML)
• Architect and Deploy AI Models: Oversee the design, deployment, and maintenance of AI and ML systems, including LLM-based applications and scalable, high-performing data pipelines
• Strategize AI and LLM Solutions: Guide the development of technical roadmaps and strategies for AI platforms and large-scale LLM integration, driving innovation in AI applications and tools
• Enhance Products with AI: Develop and implement AI-driven and LLM-powered features to differentiate and enhance our software products, delivering measurable value to end users
• Ensure Scalability and Security: Ensure AI models and data solutions—particularly those leveraging LLMs—are robust, scalable, secure, and aligned with industry best practices
• Big Data Platform Oversight: Lead a team of data engineers and analysts to optimize and maintain our big data and analytics platforms, ensuring performance and reliability at scale
• Advanced Data Engineering: Oversee the development of sophisticated data processing pipelines, leveraging tools such as PySpark and Databricks, with a focus on LLM-ready data processing and optimization
• Collaborate Across Teams: Partner with cross-functional teams—including product management, software development, and business stakeholders—to ensure AI and LLM initiatives align with company objectives and customer needs
• Stay Ahead of AI Trends: Stay at the forefront of advancements in AI, LLMs, and data engineering, incorporating new methodologies and technologies to maintain competitive advantage
• Deliver Projects Successfully: Manage project timelines, budgets, and resources to ensure the successful delivery of high-impact AI initiatives, including LLM integrations and other advanced machine learning projects

Preferred Qualifications

• Ideal candidate will have experience in designing, implementing, and optimizing data warehouses, including advanced proficiency with ETL processes, schema design (star and snowflake schemas), and the use of SQL for complex data queries and transformations
• Hands-on experience in managing large-scale data systems is preferred

Benefits

• Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution
• 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep
• Generous Paid Time Off and Paid Parental Leave programs
• Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs
• Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed
• Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning
• Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles
• Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters