Agentic AI Platform; AgentCore) Senior Manager

Position: Agentic AI Platform (AgentCore) Senior Manager
NEW YORK CITY

SEATTLE

BOSTON

WASHINGTON DC - MCLEAN

LOS ANGELES

SAN FRANCISCO

Full time

JR-261861

JOB REQUISITION

Agentic AI Platform (Agent Core) Senior Manager

LOCATION

NEW YORK CITY

ADDITIONAL LOCATION(S)

BOSTON, LOS ANGELES, SAN FRANCISCO, SEATTLE, WASHINGTON DC - MCLEAN

JOB DESCRIPTION

You Belong Here   

The Protiviti Career provides opportunity to learn, inspire, and advance within a collaborative and inclusive culture.  We hire curious individuals for whom learning is a passion. We lean into our mission:
We Care. We Collaborate. We Deliver.

At every level, we champion leaders who live our values of integrity, inclusion, innovation, and commitment to success. Imagining our work as a journey, we believe integrity guides our way, inclusion moves us forward together, innovation creates new destinations, and our commitment to success empowers us to deliver on our vision to be the most trusted global consulting firm.  

Where We Need You  

Protiviti is looking for a Technology Consulting Senior Manager to join our growing Infrastructure, Cloud, and Security Engineering team.

What You Can Expect  

As a Senior Manager, you'll partner with our clients to identify and manage risk. You'll develop strategies to solve complex business problems using new ways of thinking, and devise solutions to support your clients' needs through using the latest tools and methods.  You'll develop lasting relationships with client personnel and further these relationships through quality product delivery.  You'll foster a network within the business community and serve as an ambassador of Protiviti in the market.

You will also be a mentor and provide performance development to teams as you oversee the successful completion of project work plans.  

This is a hands-on technical leadership role responsible for designing and enabling enterprise agentic AI platforms using Amazon Bedrock, Amazon Bedrock Agent Core, Model Context Protocol (MCP), AWS Cloud Development Kit (CDK), and Databricks.

The Senior Manager will lead the architecture and implementation of secure, scalable AI-agent solutions, including connecting agents to enterprise tools and data through MCP services, integrating Agent Core with Databricks, and developing reusable infrastructure constructs that accelerate deployment across client environments.

What Will Help You Be Successful  

+ You enjoy leading complex agentic AI platform engagements from architecture through production enablement.

+ Serve as the technical lead for Amazon Bedrock and Agent Core implementations.

+ You are motivated to learn and interested in all things related to AWS Cloud including the latest trends and developments.

+ You are passionate about building relationships with clients and providing exceptional experiences.  

+ You have an inherent interest in project management and team leadership.

+ You promote a positive team culture that fosters open communication among all engagement team members.

+ You create development opportunities for others, including participating in the creation and rollout of training, and ways for your team to improve our clients and communities.  

+ You have interest in contributing to the preparation of client proposals and strategies to win new business.

+ You excel at identifying opportunities to integrate product solutions and resources to improve client service capabilities.  

+ You have interest in working with a diverse portfolio of clients across multiple industries.

Do Your Talents Include the Following?  

Agent Core and Agentic AI Architecture

+ Architect and implement enterprise agentic AI platforms using Amazon Bedrock and Amazon Bedrock Agent Core.

+ Lead the design of Agent Core Runtime, Gateway, Identity, Memory, Observability, and related platform capabilities.

+ Design agent workflows involving tool use, context management, session state, memory, orchestration, and human oversight.

+ Define patterns for agents interacting with enterprise applications, APIs, data platforms, models, knowledge bases, and other agents.

+ Establish architectural standards for scalability, reliability, security, observability, cost management, and operational support.

+ Evaluate model, orchestration, and agent-framework options based on client requirements rather than applying a single default platform pattern.

+ Design multi-agent and event-driven solutions where required.

+ Establish reusable reference architectures and engineering patterns for production agent deployments.

Databricks and Model Architecture

+…