CGEMJP / CGEMJP / CGEMJP / CGEMJP
Key Responsibilities :
- Lead the development and implementation of enterprise-wide ML and Gen AI / Agentic architectures ensuring they are scalable secure and aligned with business goal.
- Proven experience in developing solution across IFAO / IPO / ICO / ISCO Business Services
- Lead the end-to-end development & deployment of Gen AI / Agentic initiatives from ideation and PoC to deployment and scaling.
- Identify opportunities for innovation and lead the creation of reusable Gen AI / Agentic assets accelerators and frameworks.
- Oversee the seamless deployment of Gen AI / Agentic models across platforms ensuring operational efficiency and compliance.
- Develop and implement strategies for continuous integration and delivery of AI solutions optimizing for performance and maintainability.
- Establish and enforce governance policies standards and best practices for AI architecture and deployment ensuring adherence to data privacy and ethical guidelines.
- Mentor and lead a technical team and architects fostering a culture of innovation and excellence.
- Collaborate with business stakeholders to translate requirements into scalable AI solutions and drive adoption.
- Act as the central point of coordination among business lines technology teams and clients to ensure consistent delivery outcomes.
- Identify opportunities for innovation within the AI domain focusing on the development of reusable assets and tools.
Qualifications & Skills :
Masters degree in Computer Science Engineering Data Science or a related field. Ph.D. is a plus.18 years of experience in enterprise architecture solution delivery with a strong focus on ML and Gen AI technologies.Proven experience in solutioning AI-powered solutions at scale preferably in client-facing environments.Deep understanding of Gen AI / Agentic frameworks including frameworks like Lang chain and other LLM based services including OpenAI cloud platforms (AWS Azure GCP) and MLOps practices.Strong understanding of CI / CD containerization (Docker Kubernetes) and microservices architecture. Familiarity with Agile and DevOps methodologies.Excellent communication stakeholder engagement and team leadership skill.Exposure to industry-specific Gen AI / Agentic use cases (e.g. SAP Salesforce Finance Supply Chain etc.)Minimum 8 years of extensive experience in solutioning end to end product / assets by leveraging multiple technology components including AI / ML and Generative AI.Strong problem-solving strategic thinking and analytical skills with the ability to synthesize complex information and make data-driven decisions.Proven experience in leading large-scale AI solution deployments and managing cross-functional teams.Key Skills
APIs,Pegasystems,Spring,SOAP,.NET,Hybris,Solution Architecture,Service-Oriented Architecture,Adobe Experience Manager,J2EE,Java,Oracle
Employment Type : Full Time
Experience : years
Vacancy : 1