Agentic Architect

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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.

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 Busi...

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.