Senior IT Development Manager - GenAI & Agentic AI Solutions (US)

TD Bank•Mount Laurel, NJ

1d•Onsite

About The Position

The Senior IT Development Manager – GenAI & Agentic AI Solutions leads the strategy, design, development, and delivery of enterprise-grade Generative AI and Agentic AI solutions across the organization. This role is accountable for building scalable, secure, and compliant AI platforms and use cases, while also engaging with third‑party AI vendors to onboard and integrate vendor‑led solutions in alignment with Information Security, Model Risk Management (MRM), Privacy, and regulatory requirements. The role provides deep technical and delivery leadership, operates with a high degree of autonomy, and partners closely with business, architecture, risk, InfoSec, Legal, and compliance teams to ensure AI capabilities are delivered safely, responsibly, and at scale.

Requirements

Undergraduate degree or Technical Certificate
10+ years related experience
Progressive technology leadership experience, including experience delivering complex, large‑scale systems.
Demonstrated experience with: Generative AI / LLM‑based systems
Cloud‑native and API‑driven architectures
Vendor solution onboarding and third‑party risk management
Information Security, MRM, and regulated‑environment delivery

Nice To Haves

Graduate degree, preferred

Responsibilities

GenAI & Agentic AI Delivery Leadership: Lead end‑to‑end delivery of Generative AI and Agentic AI solutions, including LLM‑based applications, AI agents, orchestration frameworks, and decision automation capabilities.
Establish and enforce engineering standards, reference architectures, and reusable patterns for GenAI and agent-based systems across the enterprise.
Drive the adoption of secure AI development practices, including prompt governance, model evaluation, human‑in‑the‑loop controls, and explainability considerations.
Oversee complex, multi‑stream AI initiatives spanning multiple applications, platforms, and lines of business.
Vendor Engagement & Solution Onboarding: Lead evaluation, onboarding, and integration of third‑party AI and GenAI vendor solutions, including SaaS, platforms, and embedded AI capabilities.
Partner with vendors to assess architecture, data flows, model usage, and operational controls to meet internal technology and risk standards.
Coordinate vendor onboarding across Technology, Information Security, Privacy, Legal, Sourcing, and Risk teams to support timely approvals and deployment.
Risk, InfoSec & Regulatory Compliance: Ensure all AI solutions (internal and vendor‑led) comply with Information Security, data protection, privacy, and regulatory expectations.
Partner closely with Model Risk Management (MRM) to support model classification, documentation, validation, and ongoing monitoring requirements.
Support regulatory examinations, audits, and internal governance forums related to AI usage, controls, and technology risk.
Embed AI governance and control requirements into delivery processes to enable “secure‑by‑design” outcomes.
People & Delivery Management: Directly and indirectly manage a large and diverse team of IT professionals (engineering managers, software engineers, architects, QE, and contractors) delivering AI solutions.
Set clear delivery priorities, funding alignment, and execution plans across multiple concurrent initiatives.
Coach and develop talent in modern AI engineering practices, cloud‑native development, and responsible AI delivery.
Strategic Leadership & Stakeholder Engagement: Act as a trusted technology advisor to senior business and technology leaders on GenAI and Agentic AI strategy, risks, and investment trade‑offs.
Monitor external industry trends, regulatory developments, and competitor activity related to AI adoption in financial services.
Collaborate with peer leaders to define enterprise AI roadmaps and support broader transformation initiatives.