AI Automation Leader

Capgemini


Date: 2 weeks ago
City: Hyderabad
Contract type: Full time

Our Ideal Candidate

  • 18+ years of experience in enterprise architecture, with a strong focus on ML and Gen AI technologies.
  • Proven track record of process knowledge, designing scalable AI solutions in large-scale environments.
  • Strong business acumen with the ability to build business cases & ROI-driven proposals.
  • Hands-on experience with ERP integrations and enterprise automation tools.
  • Familiarity with platforms like Salesforce, ServiceNow, and other industry-standard tools.
  • Proven experience in automation for F&A, Supply Chain, customer operations by leveraging multiple technology components including AI/ML, Gen AI & Agentic AI.
  • Expertise in Gen AI & Agentic AI technologies, including frameworks like Lang chain, Lang graph, semantic kernel and other LLM based services including OpenAI.
  • Proven implementation experience with cloud platforms such as Azure, AWS, GCP with a focus on AI services.
  • Strong problem-solving, strategic thinking and analytical skills, with the ability to synthesize complex information and make data-driven decisions
  • Excellent communication and interpersonal skills to collaborate with cross-functional teams, clients and other stakeholders.
  • Knowledge of industry best practices for automation and process improvement.

Key Skills

  • Lead the business assessments and bring out Gen AI solutions for automation across various domains including F&A, Supply Chain, customer operations and banking processes.
  • Design and implement Gen AI & Agentic AI automation strategies tailored to enterprise needs.
  • Build compelling business cases and ROI models for proposed technical solutions.
  • Architect and deliver innovative GenAI & Agentic AI powered automation solutions for complex business processes.
  • Ensure seamless integration with various ERP systems and enterprise platforms.
  • Leverage standard tools in the market such as Salesforce, ServiceNow, and others to enhance automation capabilities.
  • Collaborate with cross-functional teams to identify automation opportunities and implement solutions.
  • Provide technical leadership and guidance to the assessment & automation team.
  • Identify opportunities for innovation within the AI domain, focusing on the development of reusable assets and tools.
  • Lead and mentor a team of AI architects, and engineers, fostering a culture of innovation and excellence.
  • Stay abreast of the latest trends and advancements in ML, Gen AI and Agentic AI and enterprise automation.
  • Establish and enforce governance policies, standards, and best practices for AI architecture and deployment.
  • Ensure compliance with data privacy regulations and ethical guidelines in AI applications.

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