Primary Responsibilities:

- Drive responsible use of AI/ML adoption across the team, driving creative use of both Generative AI and traditional ML techniques
- Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs
- Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards
- Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities
- Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions
- Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges
- Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices
- Accountable for high-quality software deliverables and operational excellence




- Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices
- Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives
- Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects

Required Qualifications:

- 10+ years of software engineering experience
- 4+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models
- 4+ years of experience with Web and API development
- 4+ years of experience hosting applications in cloud environments (AWS preferred)
- Solid experience with Chatbots, conversational AI, and NLP-based solutions
- Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations

📌 Ai Ml Engineer (Bengaluru)
🏢 Optum
📍 Bengaluru