# State Street - Generative AI Platform Manager, Vice President

JD_URL: https://www.linkedin.com/jobs/view/4440807043

JD_URL handed to jd-resume-fit-optimizer: https://www.linkedin.com/jobs/view/4440807043

Location/work model: Boston, MA

Posted/source timing: 5 days ago

Caveat: LinkedIn-requested role; salary, travel, work model, and fit caveats should be verified against the captured JD before applying.

## Captured JD

About The Role

 We're seeking a strategic, hands-on VP to lead the design and delivery of our enterprise Generative AI platform. Primary depth required in AWS Bedrock, Azure AI Foundry, Azure OpenAI, and Databricks , with strong skills in IaC authorship, Harness CI/CD, FinOps, and AI-assisted developer tooling. You'll set technical direction, author production-grade constructs, mentor senior engineers, and enable data scientists and application teams to ship Gen AI solutions at scale.

 Key Responsibilities

 AWS Bedrock Platform (Primary)

 Own enterprise Bedrock strategy: model access governance, provisioned throughput, cross-region inference, multi-account architecture
 Operationalize Knowledge Bases, Agents, Guardrails, Prompt Management, Flows, and Model Evaluation
 Lead FM lifecycle across Claude, Nova/Titan, Llama, Mistral, and Cohere
 Design RAG on Bedrock with OpenSearch Serverless, Aurora pgvector, and Kendra
 Optimize consumption: on-demand vs. PT, model routing, prompt caching, token efficiency

 Azure AI Foundry & Azure OpenAI (Primary)

 Own Foundry hub/project architecture, model catalog governance, and quota management
 Lead Azure OpenAI patterns (PTU vs. PAYG, capacity planning, content filters) across GPT-4o, GPT-4.1, and o-series models
 Architect RAG/agent workloads with AI Search, prompt flow, and Agent Service
 Implement Content Safety, private networking, Entra ID, CMK, and data residency controls

 Databricks & Data-Centric AI (Primary)

 Own Databricks strategy on AWS and Azure: workspace architecture, Unity Catalog, cluster policies
 Lead Mosaic AI adoption: Model Serving, Vector Search, Feature Store, AI Gateway, MLflow
 Architect fine-tuning/pretraining pipelines and lakehouse-native RAG on Delta Lake
 Establish DBU cost controls and serverless governance

 Infrastructure as Code & Golden Paths

 Author L2/L3 CDK constructs (TypeScript/Python), Bicep modules, and Terraform for multi-cloud AI infra
 Codify secure-by-default "golden paths" enabling teams to launch Gen AI workloads in hours
 Standardize config-as-code, secrets management, and drift detection

 Harness CI/CD

 Own Harness pipelines, templates, and delegates for Bedrock, Azure OpenAI, Foundry, and Databricks Asset Bundles
 Integrate with GitOps, Terraform/CDK/Bicep, OPA policy-as-code, and approval gates
 Establish reference pipelines with linting, security scanning, model eval, and cost checks

 Developer Experience

 Champion Claude Desktop, MCP servers, and AI coding assistants (Copilot, Cursor, Claude Code)
 Build internal MCP servers exposing enterprise systems to agentic clients
 Define secure usage patterns for regulated environments; measure productivity impact

 Governance & Leadership

 Establish security, compliance, and responsible AI controls (red-teaming, audit logging, guardrails)
 Build observability across CloudWatch, Azure Monitor, Databricks system tables, Grafana, Datadog
 Partner with Data, MLOps, Security, and Application leadership; recruit and mentor a top-tier team

 Required Skills

 Bedrock: Knowledge Bases, Agents, Guardrails, Flows, PT; Claude, Nova, Llama, Mistral; RAG and vector stores (OpenSearch, pgvector, Pinecone, Kendra); agent frameworks (Bedrock Agents, LangGraph, Strands)
 Azure AI: Foundry hubs/projects, prompt flow, Agent Service; Azure OpenAI (GPT-4o/4.1, o-series, PTU); AI Search; Content Safety
 Databricks: Mosaic AI, Vector Search, AI Gateway, MLflow, Unity Catalog, Asset Bundles, Delta Lake
 IaC: CDK L2/L3 (TS/Python), Bicep, Terraform (multi-cloud), secrets management
 CI/CD: Harness (YAML pipelines, delegates, templates, GitOps), OPA/Rego, GitHub Actions, Azure DevOps
 FinOps: Token/PTU/DBU governance, tagging, chargeback, capacity planning, token/model optimization
 Dev Tooling: Claude Desktop, MCP server authoring, Claude Code, Copilot, Cursor
 Cloud: Deep AWS + Azure (networking, IAM/Entra ID, private endpoints); Docker/Kubernetes (EKS/AKS); serverless; API design; complementary GCP/Vertex AI
 Data: Delta Lake, Unity Catalog, RAG/fine-tuning data pipelines, governance/lineage
 Observability: CloudWatch, Azure Monitor, App Insights, Grafana, Arize, Datadog
 Languages: Python (primary), TypeScript
 Leadership: Scaling senior teams hands-on, executive communication, owning budgets/roadmaps

 Education & Experience

 Bachelor's or Master's in CS, Engineering, or IT
 10+ years in platform/cloud/SRE engineering
 5+ years hands-on AWS and Azure with production depth in Bedrock, Azure OpenAI/Foundry, and Databricks
 3+ years in technical leadership or people management
 Financial services or regulated-industry experience strongly preferred

 Preferred Qualifications

 Published CDK construct libraries, Bicep registries, or Terraform modules consumed enterprise-wide
 Enterprise-scale Harness pipeline authoring and rollout
 Fine-tuning/continued pretraining experience (LoRA, QLoRA, RLHF, DPO) on Mosaic AI, Azure OpenAI, or Bedrock Custom Models
 Model optimization: quantization, distillation, prompt caching, speculative decoding
 PTU/PT capacity planning at scale
 Production MCP servers and Claude Desktop deployments in regulated environments
 Agentic frameworks (Bedrock Agents, Azure AI Agent Service, Databricks Agent Framework, LangGraph, Strands)
 AI safety/guardrail frameworks (Bedrock Guardrails, Azure Content Safety, NeMo, Guardrails AI)
 Measurable FinOps wins (token/DBU/inference cost reduction)
 Open-source contributions (CDK, Terraform providers, MCP)
 Multi-tenant AI platforms with chargeback/showback
 Board/regulator-level presentation experience

 Certifications (one Or More Preferred)

 AWS: Solutions Architect Pro, ML Specialty, DevOps Engineer Pro
 Azure: AZ-305, AI-102, AZ-400, OP-100
 Databricks: Data Engineer Pro, ML Pro, or Generative AI Engineer Associate
 GCP: Professional Cloud Architect or ML Engineer (complementary)
 Harness: Certified Expert (CD or Platform)
 Anthropic: Claude Builder or partner credentials

 Salary Range

 $120,000 - $202,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

 Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

 For a full overview, visit https://hrportal.ehr.com/statestreet/Home .

 About State Street

 Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement

 Job Application Disclosure

 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job ID: R-793741

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 Seniority level

 Not Applicable

 Employment type

 Full-time

 Job function

 Engineering and Information Technology

 Industries

 Financial Services, Investment Banking, and Investment Management

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