Generative AI Platform Manager, Vice President

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 architectureOperationalize Knowledge Bases, Agents, Guardrails, Prompt Management, Flows, and Model EvaluationLead FM lifecycle across Claude, Nova/Titan, Llama, Mistral, and CohereDesign RAG on Bedrock with OpenSearch Serverless, Aurora pgvector, and KendraOptimize 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 managementLead Azure OpenAI patterns (PTU vs. PAYG, capacity planning, content filters) across GPT-4o, GPT-4.1, and o-series modelsArchitect RAG/agent workloads with AI Search, prompt flow, and Agent ServiceImplement 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 policiesLead Mosaic AI adoption: Model Serving, Vector Search, Feature Store, AI Gateway, MLflowArchitect fine-tuning/pretraining pipelines and lakehouse-native RAG on Delta LakeEstablish 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 infraCodify secure-by-default "golden paths" enabling teams to launch Gen AI workloads in hoursStandardize 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 BundlesIntegrate with GitOps, Terraform/CDK/Bicep, OPA policy-as-code, and approval gatesEstablish 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 clientsDefine 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, DatadogPartner 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 SafetyDatabricks: Mosaic AI, Vector Search, AI Gateway, MLflow, Unity Catalog, Asset Bundles, Delta LakeIaC: CDK L2/L3 (TS/Python), Bicep, Terraform (multi-cloud), secrets managementCI/CD: Harness (YAML pipelines, delegates, templates, GitOps), OPA/Rego, GitHub Actions, Azure DevOpsFinOps: Token/PTU/DBU governance, tagging, chargeback, capacity planning, token/model optimizationDev Tooling: Claude Desktop, MCP server authoring, Claude Code, Copilot, CursorCloud: Deep AWS + Azure (networking, IAM/Entra ID, private endpoints); Docker/Kubernetes (EKS/AKS); serverless; API design; complementary GCP/Vertex AIData: Delta Lake, Unity Catalog, RAG/fine-tuning data pipelines, governance/lineageObservability: CloudWatch, Azure Monitor, App Insights, Grafana, Arize, DatadogLanguages: Python (primary), TypeScriptLeadership: Scaling senior teams hands-on, executive communication, owning budgets/roadmaps Education & Experience Bachelor's or Master's in CS, Engineering, or IT10+ years in platform/cloud/SRE engineering5+ years hands-on AWS and Azure with production depth in Bedrock, Azure OpenAI/Foundry, and Databricks3+ years in technical leadership or people managementFinancial services or regulated-industry experience strongly preferred Preferred Qualifications Published CDK construct libraries, Bicep registries, or Terraform modules consumed enterprise-wideEnterprise-scale Harness pipeline authoring and rolloutFine-tuning/continued pretraining experience (LoRA, QLoRA, RLHF, DPO) on Mosaic AI, Azure OpenAI, or Bedrock Custom ModelsModel optimization: quantization, distillation, prompt caching, speculative decodingPTU/PT capacity planning at scaleProduction MCP servers and Claude Desktop deployments in regulated environmentsAgentic 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/showbackBoard/regulator-level presentation experience Certifications (one Or More Preferred) AWS: Solutions Architect Pro, ML Specialty, DevOps Engineer ProAzure: AZ-305, AI-102, AZ-400, OP-100Databricks: Data Engineer Pro, ML Pro, or Generative AI Engineer AssociateGCP: 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