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 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 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

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 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

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,…