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Agentic Architect

https://www.randstad.com Logo

Randstad

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Location:
India, Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Responsibility:

  • 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

Requirements:

  • Master’s 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

Additional Information:

Job Posted:
December 17, 2025

Expiration:
December 29, 2025

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