Senior Manager, Agentic AI Transformation - Banking & Capital Markets
Software Engineering, Data Science
New York, NY, USA
Job description
As a Senior Manager supporting our AI Transformation & Technology service offering, specializing in Agentic AI within banking and capital markets, this role will lead client engagements focused to transform architectural concepts into high-performing, resilient, production-grade autonomous agent ecosystems.
The ideal candidate combines strong Agentic AI management capabilities with consulting experience and deep knowledge of banking and capital markets. You will operate at the critical intersection of advanced artificial intelligence, Tier-1 banking business operations, and rigorous regulatory frameworks.
Responsibilities:
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Client Advisory & Delivery Leadership: Lead client advisory and end-to-end delivery of complex Agentic AI workflows across Capital Markets, Asset Management, Wealth Management, and Corporate Banking, including multi-agent orchestration, autonomous decision-making loops, and advanced RAG integration, while translating ambiguous institutional challenges into technical requirements, target operating models, solution blueprints, and strategic execution roadmaps, and managing cross-functional teams across business, data science, IT infrastructure, risk, and compliance.
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AI Governance, Risk & Compliance: Lead AI governance, risk, and compliance for agentic AI deployments by aligning solutions to financial services regulatory expectations, including SR 11-7, OCC guidance, Treasury AI risk management principles, and emerging SEC/EU AI Act requirements, while designing production-grade observability, monitoring, and auditability frameworks to manage non-deterministic behavior, hallucination risk, agent-to-agent interactions, and Model Risk Management validation.
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Technology Evaluation & Ecosystem Integration: Advise client executives on AI technology strategy and optimal platform choices, including build-versus-buy analyses across enterprise Large Language Models, LLM harnesses, open-source foundational models, and specialized developer frameworks, while formulating secure and scalable deployment architectures across AWS Bedrock, Azure OpenAI, and GCP Vertex AI with appropriate data ingestion, security, and runtime controls.
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Practice Development & Commercial Growth: Drive AI Transformation practice growth by developing commercial opportunities, authoring proposals, structuring SOWs, and leading competitive RFP responses, while contributing to Sia’s thought leadership, intellectual property, white papers, and industry forums focused on Agentic AI operationalization in banking.