Generative AI Platform Manager, Vice President
STATE STREET CORPORATION
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Benefits offered by this job
Job summary
STATE STREET CORPORATION is seeking a strategic VP to design and deliver a enterprise Generative AI platform. You will own Bedrock, Foundry, and Databricks architectures, codify golden paths, and mentor senior engineers to ship AI at scale.
The role emphasizes cross-cloud governance, secure-by-default workflows, and cost-aware operations, with a focus on enabling data scientists and application teams.
Qualifications
- 10+ years in platform/cloud/SRE engineering.
- 5+ years hands-on AWS and Azure with Bedrock/OpenAI/Databricks.
- 3+ years in technical leadership or people management.
Responsibilities
- Own Bedrock platform strategy and governance across regions and accounts.
- Lead Azure Foundry and OpenAI patterns, capacity planning and content filters.
- Steer Databricks strategy including Unity Catalog and Delta Lake.
- Author secure-by-default golden paths and multi-cloud infra.
- Own Harness pipelines, templates, and GitOps integration.
- Build vendor-agnostic developer tooling and observability.
Skills
Education
Tools
Job description
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.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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)
- eligibility for certain tax advantaged savings plans
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
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.
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
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