Job
Description
Role Overview: As a Technical Leader at our client, a globally leading provider of financial intelligence, data analytics, and AI-driven solutions, you will play a crucial role in designing, developing, and scaling AI-driven agentic pipelines to transform workflows across S&P Global. Your responsibilities will involve leading the end-to-end automation solutions using agentic frameworks, cloud infrastructure, and orchestration tools, while effectively managing senior stakeholders and driving adoption at scale. Join us to work on cutting-edge technologies, drive digital transformation, and shape the future of global markets. Key Responsibilities: - Lead the design, development, and scaling of AI-driven agentic pipelines to transform workflows across S&P Global - Architect end-to-end automation solutions using agentic frameworks, cloud infrastructure, and orchestration tools - Translate business workflows into automation solutions, focusing on financial/data services use cases - Engage with multiple client areas to truly understand their problems and deliver solutions that fit their needs - Evangelize agentic capabilities through workshops, demos, and executive briefings - Establish monitoring frameworks for agent performance, drift detection, and self-healing mechanisms - Develop governance models for ethical AI agent deployment and compliance - Educate and spread awareness within the external client-base about automation capabilities to increase usage and idea generation - Increase automation adoption by focusing on distinct users and distinct processes - Deliver exceptional communication to multiple layers of management for the client - Provide automation training, coaching, and assistance specific to a user's role - Establish monitoring frameworks for agent performance, drift detection, and self-healing mechanisms - Develop governance models for ethical AI agent deployment and compliance Qualifications Required: - 13-18 years of work experience with 5+ years in the Automation/AI space - Knowledge of cloud platforms (AWS SageMaker, Azure ML, etc), orchestration tools (Prefect, Airflow, etc), and agentic toolkits (LangChain, LlamaIndex, AutoGen) - Experience in productionizing AI applications - Strong programming skills in Python and common AI frameworks - Experience with multi-modal LLMs and integrating vision and text for autonomous agents - Excellent written and oral communication in English - Excellent presentation skills with a high degree of comfort speaking with senior executives, IT Management, and developers - Hands-on ability to build quick prototypes/visuals to assist with high-level product concepts and capabilities - Experience in deployment and management of applications utilizing cloud-based infrastructure - Desire to work in a fast-paced and challenging work environment - Ability to work in cross-functional, multi-geographic teams Role Overview: As a Technical Leader at our client, a globally leading provider of financial intelligence, data analytics, and AI-driven solutions, you will play a crucial role in designing, developing, and scaling AI-driven agentic pipelines to transform workflows across S&P Global. Your responsibilities will involve leading the end-to-end automation solutions using agentic frameworks, cloud infrastructure, and orchestration tools, while effectively managing senior stakeholders and driving adoption at scale. Join us to work on cutting-edge technologies, drive digital transformation, and shape the future of global markets. Key Responsibilities: - Lead the design, development, and scaling of AI-driven agentic pipelines to transform workflows across S&P Global - Architect end-to-end automation solutions using agentic frameworks, cloud infrastructure, and orchestration tools - Translate business workflows into automation solutions, focusing on financial/data services use cases - Engage with multiple client areas to truly understand their problems and deliver solutions that fit their needs - Evangelize agentic capabilities through workshops, demos, and executive briefings - Establish monitoring frameworks for agent performance, drift detection, and self-healing mechanisms - Develop governance models for ethical AI agent deployment and compliance - Educate and spread awareness within the external client-base about automation capabilities to increase usage and idea generation - Increase automation adoption by focusing on distinct users and distinct processes - Deliver exceptional communication to multiple layers of management for the client - Provide automation training, coaching, and assistance specific to a user's role - Establish monitoring frameworks for agent performance, drift detection, and self-healing mechanisms - Develop governance models for ethical AI agent deployment and compliance Qualifications Required: - 13-18 years of work experience with 5+ years in the Automation/AI space - Knowledge of cloud platforms (AWS SageMaker, Azure ML, etc), orchestration
