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, Fin Ops, 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  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 Open Search 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 , 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 (Type Script/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/CDOwn Harness pipelines, templates, and delegates for Bedrock, Azure OpenAI, Foundry, and Databricks Asset Bundles Integrate with Git Ops, 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 Cloud Watch, 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 (Open Search, pgvector, Pinecone, Kendra); agent frameworks (Bedrock Agents, Lang Graph, 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 LakeIaC: CDK L2/L3 (TS/Python), Bicep, Terraform (multi-cloud), secrets managementCI/CD:
Harness (YAML pipelines, delegates, templates, Git Ops), OPA/Rego, Git Hub Actions, Azure Dev Ops Fin Ops :
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 , private endpoints);
Docker/Kubernetes (EKS/AKS); serverless; API design; complementary GCP/Vertex AIData:
Delta Lake, Unity Catalog, RAG/fine-tuning data pipelines, governance/lineage

Observability:
Cloud Watch, Azure Monitor, App Insights, Grafana, Arize, Datadog

Languages:

Python (primary), Type Script Leadership :
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 management

Financial services or…