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 versatile work arrangements

Qualifications - External





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 (Hyderabad)
🏢 Optum
📍 Hyderabad