We are looking for an experienced Engineering Manager - AI/ML to lead the delivery of AI-powered solutions across enterprise and customer-facing platforms. This role is primarily focused on execution, Agile delivery, engineering excellence, and AI adoption, while also mentoring a high-performing engineering team.

Primary Responsibilities:

- Delivery &
- Execution
- Own end-to-end delivery of Conversational AI Platforms(Voice/Chat)
- Drive Agile execution through planning, prioritization, dependency, and risk management
- Ensure predictable delivery, quality outcomes, and operational excellence
- Technical Leadership
- Lead the design and implementation of AI-powered chatbot and voice bot solutions
- Drive adoption of cloud-native architectures, CI/CD, Terraform, and Shift-Left practices
- Ensure solutions are scalable, secure, and compliant with enterprise standards
- AI Adoption &
- Innovation
- Accelerate the adoption of AI across products and business processes
- Drive solutions leveraging Conversational AI, Generative AI, and intelligent automation
- Promote Responsible AI and AI Development Lifecycle (AIDLC) practices
- Stakeholder Management
- Partner with Product, Architecture, Security, and Business teams to deliver outcomes
- Manage priorities, dependencies, risks, and executive communications
- Align technology execution with business objectives and customer needs
- People Leadership
- Mentor and develop engineers and technical leads
- Foster a culture of accountability, collaboration, and continuous improvement
- Support hiring, performance management, and talent development
- Comply with all applicable Company policies,



procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and adaptable work arrangements

Required Qualifications:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Experience.
- 9+ years of software engineering experience with 2+ years in technical or people leadership roles
- Proven track record of delivering complex enterprise applications and programs
- Conversational AI
- Hands-on experience with Amazon Lex, Google Dialogflow, and Google ADK
- Experience building Chatbots, Voice Bots, and Virtual Assistants
- Experience integrating AI solutions with CCaaS Platforms
- Engineering &
- DevOps
- Proficiency in Python, Node.js, or TypeScript
- Experience with CI/CD pipelines, Terraform, and cloud-native architectures
- Solid understanding of DevOps, DevSecOps, and Shift-Left engineering practices
- AI &
- Platforms
- Experience implementing AI solutions in enterprise environments
- Understanding of AIDLC and Responsible AI principles
- Familiarity with LLMs, RAG, and Agentic AI frameworks
- Leadership &
- Delivery
- Solid Agile delivery experience using Scrum, Kanban etc.,
- Proven excellent stakeholder management and cross-functional collaboration skills
- Ability to balance delivery commitments, innovation, and technical excellence

Preferred Qualifications:

- Certifications in AI/ML, Cloud, Agile, Scrum, or DevOps
- Experience with AWS, Azure, or Google Cloud AI services
- Experience with Genesys, NICE, Amazon Connect, Five9, or similar CCaaS platforms

📌 Manager AI/ML Engineering (Chennai)
🏢 Optum
📍 Chennai