Capgemini
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.
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.