Department Manager, Agentic AI Platform Development

Overview

Responsibilities

• Own the enterprise agentic AI development strategy on Google Vertex AI aligned with Con Edisons grid modernization and reliability objectives
• Establish standardized agent design and development patterns, including task decomposition, tool use, memory, coordination, and escalation logic
• Define and govern agent orchestration frameworks, including multi-agent collaboration, workflow control, and human-in-the-loop integration
• Provide leadership and performance management for agentic platform and engineering leads
• Set and enforce agent development standards, including prompt design, policy enforcement, versioning, testing, and release management
• Ensure runtime controls for agent behavior, including guardrails, fallback mechanisms, confidence thresholds, and kill-switch capabilities
• Maintain governance over agent decisions, actions, and tool invocations, ensuring full traceability, auditability, and explainability
• Oversee integration of agents with enterprise systems, operational technologies, and data platforms in a secure and resilient manner
• Partner with Cybersecurity, Legal, Risk, and Compliance teams to ensure agentic development complies with regulatory, privacy, and critical-infrastructure requirements
• Manage Vertex AI environments, agent execution workloads, and cloud consumption tied to agent development and runtime operations
• Enable safe deployment of agentic use cases, including operational decision support, workflow automation, and intelligent assistance
• Act as the primary interface to business and operational stakeholders for agentic capability prioritization and delivery
• Provide executive-level reporting on agent development maturity, operational readiness, risk posture, adoption, and realized value
• Lead and develop a team of managers through coaching, performance management, and effective work assignment to drive aligned execution and business outcomes

Qualifications

• Master's Degree and a minimum of 6 years full-time relevant work experience or
• Bachelor's Degree and a minimum of 8 years full-time relevant work experience.

• Master's Degree in Business Administration, Finance, Accounting, Management Information Systems, Information Systems, related business or technology aligned field and a minimum of 6 years full-time relevant work experience.

• Demonstrated experience delivering enterprise scale agentic AI platforms on Google Vertex AI, including establishing standardized architectures, development patterns, and operating models, preferred
• Proven ownership of the full agentic AI development lifecycle, from architecture design and agent frameworks to prompt and policy management, tool orchestration, runtime execution, monitoring, and continuous improvement, preferred
• Hands on experience designing, deploying, and operating human in-the-loop and semi-autonomous intelligent agents in safety critical and highly regulated environments, preferred
• Strong background defining and enforcing architecture standards for reliability, determinism, fallback behavior, traceability, explainability, and human override in AI driven systems, preferred
• Experience serving as the primary technical authority for agentic AI architecture, guiding engineering teams on best practices, patterns, and risk mitigation strategies, preferred
• Demonstrated ability to partner effectively with Cybersecurity, Legal, Risk, Compliance, and IT Infrastructure teams to ensure AI solutions meet security, privacy, and regulatory requirements, preferred
• Experience implementing secure, auditable AI platforms, including access controls, policy enforcement, logging, monitoring, and incident response capabilities, preferred
• Proven track record translating complex business and operational needs, such as grid operations, asset management, forecasting, customer engagement, and automation, into scalable AI solutions, preferred
• Experience providing financial and operational stewardship for AI platforms, including budget management, cost optimization, vendor oversight, and capacity planning, preferred
• Ability to communicate AI platform maturity, risk posture, and business value to executive leadership, supporting enterprise level decision making and long-term AI strategy, preferred

• Builds and manages effective teams
• Strong written and verbal communication skills
• Demonstrates excellent judgment and decision making skills
• Demonstrates a high level of accuracy, even under pressure

• Driver's License Required
• Project Management Professional (PMP) Preferred
• Other: Certified Project Management (CPM) Preferred
• Other: Databricks Professional Certification Preferred
• Other: GCP Professional Certification Preferred

• Sit or stand to use a keyboard, mouse, and computer for the duration of the workday

• The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.
• Ability to respond to emergencies during off-hours