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Protiviti
Protiviti
5,001 – 10,000 Employees
H1B Visa SponsorConsultingCybersecurityFinance
Protiviti is a global consulting firm that helps organizations address complex challenges across finance, technology, operations, governance, risk management, and internal audit. Its teams combine consulting expertise with data analytics, artificial intelligence, and cybersecurity capabilities to develop practical, tailored solutions for clients across industries. Protiviti’s work is centered on helping organizations adapt to changing business conditions, strengthen performance and resilience, and pursue sustainable growth.
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Senior Manager, Agentic AI Platform (AgentCore)

Lead platform architecture across Amazon Bedrock AgentCore, Databricks, AWS CDK, and MCP. Build secure agentic AI solutions for Protiviti consulting clients.

USUnited StatesCACaliforniaMAMassachusettsNYNew YorkVAVirginiaWAWashington
$146,000 – $234,000 / year
HybridFull-timeSeniorEnglish RequiredAI EngineerMachine Learning Engineer
AWSCloudSQLUnity

Description

  • Identify and manage risk with clients
  • Develop strategies and solutions for complex business problems using current tools and fresh approaches
  • Build lasting client relationships through high-quality delivery
  • Grow business and community connections as a Protiviti market ambassador
  • Mentor teams and support their performance development
  • Oversee completion of project work plans
  • Lead complex agentic AI platform engagements from architecture through production enablement
  • Provide technical leadership for Amazon Bedrock and AgentCore implementations
  • Design and enable secure, scalable enterprise agentic AI platforms
  • Lead architecture and implementation across AgentCore Runtime, Gateway, Identity, Memory, Observability, and related capabilities
  • Design agent workflows, multi-agent and event-driven solutions, and enterprise patterns for tool and data interactions
  • Create reusable reference architectures and engineering patterns for production agent deployments
  • Guide decisions on where to place models, endpoints, data assets, and AI capabilities across Databricks and AWS services
  • Integrate agents with Databricks SQL, Unity Catalog, MLflow, vector search, data pipelines, and model-serving endpoints
  • Build reusable AWS CDK constructs, deployment templates, and automated pipelines for builds, tests, security validation, and releases
  • Review code and set approaches for environment promotion, versioning, rollback, and release management
  • Work with cloud security teams on IAM, networking, encryption, secrets, logging, and monitoring
  • Resolve complex integration, permissions, deployment, and runtime problems
  • Enable MCP services through AgentCore Gateway and securely connect agents to enterprise tools and services
  • Set controls for MCP tool registration, discovery, access, versioning, testing, and lifecycle management
  • Design fine-grained permissions, least-privilege access, sensitive-data safeguards, credential management, and auditability
  • Contribute to client proposals, new-business strategies, training development and rollout, and improvements to client service capabilities

Requirements

  • Bachelor’s degree in a relevant field, such as MIS, IS, or computer science
  • At least 7 years of experience in professional services or industry
  • AWS Certified Solutions Architect – Associate certification required
  • AWS Certified Solutions Architect – Professional certification preferred
  • Experience architecting and implementing enterprise agentic AI platforms with Amazon Bedrock and Amazon Bedrock AgentCore
  • Expertise in AgentCore Runtime, Gateway, Identity, Memory, Observability, and related platform capabilities
  • Experience designing agent workflows with tool use, context management, session state, memory, orchestration, and human oversight
  • Experience with Databricks SQL, Unity Catalog, MLflow, vector search, data pipelines, and model-serving endpoints
  • Experience integrating AgentCore with Databricks-hosted or Databricks-managed AI capabilities
  • Experience with AWS CDK and reusable infrastructure constructs
  • Knowledge of IAM, VPC networking, private connectivity, encryption, secrets management, logging, and monitoring controls
  • Experience enabling MCP services through AgentCore Gateway and connecting agents to enterprise tools, APIs, Lambda functions, HTTP services, data platforms, and MCP servers
  • Experience with secure OAuth, service principal, identity passthrough, and machine-to-machine authentication patterns
  • Ability to establish scalable, reliable, secure, observable, and cost-managed production architectures
  • Successful completion of a background check is required
  • Protiviti cannot hire or employ personnel in West Virginia or Alaska

Benefits

  • Annual bonus plan with a 14% target opportunity and/or discretionary stock compensation opportunities
  • Medical, dental, and vision coverage
  • Flexible spending and health savings accounts
  • Life and accident insurance
  • Adoption and fertility assistance
  • Up to 10 weeks of paid parental leave
  • Short-term and long-term disability coverage
  • 401(k) savings and investment plan with a 50% employer match on the first 6% of contributions
  • Choice Time Off for vacation, personal needs, and sick time; new hires receive up to 20 days per calendar year
  • Up to 11 paid holidays per calendar year
  • Hybrid work combining in-person and remote work
  • Flexible work environment
  • Professional development and training opportunities
  • Reasonable accommodation support

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