As a Graduate / Post Graduate Engineering in Computer Science from premier engineering institutes of global ranking with more than 20 years of overall experience in product development, including minimum 10 years in core software product development or technology leadership with AI/ML-driven product development, you are required to possess the following qualifications and experiences:
Strong understanding of GenAI, LLMs, NLP, ML Ops, predictive modelling, AI decisioning engines, and cloud-native architectures. - Proven experience leading high-performing product engineering teams (of min 200 team size) in a global software organization. - Experience in setting up Software Factory. - Demonstrated success in launching enterprise-grade AI products. - Excellent stakeholder management, communication, and executive presence. - Experience with low-code platforms, test automation tools, and enterprise workflow technologies preferred. - Experience of engaging with Analyst firms; publishing papers & case studies and representing the company in professional associations, groups, forums, and events. Your key responsibilities will include:
Product Strategy & Vision:
Define and drive an emerging tech product vision aligned with business goals and market trends. - Build an AI-first roadmap leveraging GenAI, ML, predictive analytics, explainable AI, and automation frameworks. - Identify and integrate emerging technology trends to enhance platform competitiveness. 2. Product Development & Delivery:
Lead design and delivery of AI capabilities integrated into content services, process automation, decisioning, CCM, and digital journey orchestration. - Partner with engineering heads to ensure scalable, secure, explainable AI models, and robust ML Ops pipelines. - Oversee the product lifecycle from ideation to launch, ensuring timely delivery and quality. 3. Leadership & People Management:
Lead and mentor cross-functional teams including product managers, data scientists, AI engineers, UX teams, and solution specialists. - Foster a culture of innovation, collaboration, and continuous improvement. - Establish strong governance models, performance metrics, and development plans for team members. 4. Customer & Market Engagement:
Engage with customers, analysts, and partners to understand pain points and opportunities. - Translate customer insights into actionable product features. - Enable GTM teams with strong positioning, demos, and product narratives. 5. Cross-functional Collaboration:
Work closely with Sales, Marketing, Delivery, Engineering, and Pre-Sales teams to ensure product adoption and success. - Collaborate with hyperscaler partners and academic institutions for innovation acceleration. 6. Compliance and Ethics:
Establish and enforce Responsible AI principles including fairness, transparency, traceability, and explainability. - Ensure product functionalities meet regulatory, compliance, and data security standards. As a Graduate / Post Graduate Engineering in Computer Science from premier engineering institutes of global ranking with more than 20 years of overall experience in product development, including minimum 10 years in core software product development or technology leadership with AI/ML-driven product development, you are required to possess the following qualifications and experiences:
Strong understanding of GenAI, LLMs, NLP, ML Ops, predictive modelling, AI decisioning engines, and cloud-native architectures. - Proven experience leading high-performing product engineering teams (of min 200 team size) in a global software organization. - Experience in setting up Software Factory. - Demonstrated success in launching enterprise-grade AI products. - Excellent stakeholder management, communication, and executive presence. - Experience with low-code platforms, test automation tools, and enterprise workflow technologies preferred. - Experience of engaging with Analyst firms; publishing papers & case studies and representing the company in professional associations, groups, forums, and events. Your key responsibilities will include:
Product Strategy & Vision:
Define and drive an emerging tech product vision aligned with business goals and market trends. - Build an AI-first roadmap leveraging GenAI, ML, predictive analytics, explainable AI, and automation frameworks. - Identify and integrate emerging technology trends to enhance platform competitiveness. 2. Product Development & Delivery:
Lead design and delivery of AI capabilities integrated into content services, process automation, decisioning, CCM, and digital journey orchestration. - Partner with engineering heads to ensure scalable, secure, explainable AI models, and robust ML Ops pipelines. - Oversee the product lifecycle from ideation to launch, ensuring timely delivery and quality. 3. Leadership & People Management:
