Senior Manager, Agentic AI Transformation - Banking & Capital Markets

Sia•New York, NY

6d•$171,000 - $180,000•Hybrid

About The Position

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.

Requirements

Minimum of 7–10 years of professional experience within Management Consulting or an internal banking transformation function, with an exclusive focus on Tier-1 Banking, Capital Markets, or Asset /Wealth Management environments.
Proven experience designing and deploying Agentic AI solutions beyond basic chatbots, including multi-agent orchestration, semantic routing, autonomous workflows, and frameworks such as AutoGen, LangGraph, and CrewAI.
Strong understanding of enterprise LLM selection, prompt engineering, fine-tuning approaches, and integration across major hyperscaler platforms, including Azure, GCP, and AWS Bedrock.
Hands-on experience with LLM/agent observability, tracing, guardrails, and auditability tools, with working knowledge of Model Risk Management, SR 11-7, data privacy, security, and financial services regulatory controls.
Proven ability to originate new business opportunities and create new revenue streams by identifying client needs, developing relationships, shaping consulting solutions, and converting opportunities into sold work.
Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future.

Nice To Haves

Advanced degree (MBA, MS, or PhD) in Computer Science, Data Science, Financial Engineering, or a highly quantitative business discipline.
Technical certifications across cloud providers (e.g., AWS Certified Solutions Architect, Azure AI Engineer), data platforms (e.g. Databricks) or AI governance programs

Responsibilities

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.
Translate ambiguous institutional challenges into technical requirements, target operating models, solution blueprints, and strategic execution roadmaps.
Manage cross-functional teams across business, data science, IT infrastructure, risk, and 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.
Design production-grade observability, monitoring, and auditability frameworks to manage non-deterministic behavior, hallucination risk, agent-to-agent interactions, and Model Risk Management validation.
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.
Formulate secure and scalable deployment architectures across AWS Bedrock, Azure OpenAI, and GCP Vertex AI with appropriate data ingestion, security, and runtime controls.
Drive AI Transformation practice growth by developing commercial opportunities, authoring proposals, structuring SOWs, and leading competitive RFP responses.
Contribute to Sia’s thought leadership, intellectual property, white papers, and industry forums focused on Agentic AI operationalization in banking.