Generative AI Platform Manager, Vice President

State Street•Burlington, MA

2d•$120,000 - $202,500•Remote

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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

Benefits

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
inclusive development opportunities
flexible work-life support
paid volunteer days
vibrant employee networks