Generative AI Platform Manager, Vice President

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 at scale.

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/CD

• Own 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

• 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 Lake
• IaC: CDK L2/L3 (TS/Python), Bicep, Terraform (multi-cloud), secrets management
• CI/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 AI
• Data: 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

• 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…