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 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 AnnualThe 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
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