Manager AI/ML Engineering

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 flexible 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