Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We're seeking a strategic, hands-on VP to lead the design and delivery of our enterprise Generative AI platform. 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.

Responsibilities

• Own enterprise Bedrock strategy, including model access governance, provisioned throughput, cross-region inference, and 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, including on-demand vs. PT, model routing, prompt caching, and token efficiency.
• Own Foundry hub/project architecture, model catalog governance, and quota management.
• Lead Azure OpenAI patterns 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, including workspace architecture, Unity Catalog, and cluster policies.
• Lead Mosaic AI adoption, including Model Serving, Vector Search, Feature Store, AI Gateway, and 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.
• Build internal MCP servers exposing enterprise systems to agentic clients.
• Define secure usage patterns for regulated environments and measure productivity impact.
• Establish security, compliance, and responsible AI controls.
• 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.

Requirements

• 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
• 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

Skills

• AWS Bedrock
• Azure AI Foundry
• Azure OpenAI
• Databricks
• IaC authorship
• Harness CI/CD
• FinOps
• AI-assisted developer tooling
• Knowledge Bases
• Agents
• Guardrails
• Prompt Management
• Flows
• Model Evaluation
• Claude
• Nova/Titan
• Llama
• Mistral
• Cohere
• RAG
• OpenSearch Serverless
• Aurora pgvector
• Kendra
• Foundry hubs/projects
• Model catalog governance
• Quota management
• Azure OpenAI patterns
• GPT-4o
• GPT-4.1
• o-series models
• AI Search
• Prompt flow
• Agent Service
• Content Safety
• Private networking
• Entra ID
• CMK
• Data residency controls
• Databricks strategy
• Workspace architecture
• Unity Catalog
• Cluster policies
• Mosaic AI
• Vector Search
• AI Gateway
• MLflow
• Fine-tuning pipelines
• Pretraining pipelines
• Lakehouse-native RAG
• Delta Lake
• DBU cost controls
• Serverless governance
• CDK (TypeScript/Python)
• Bicep modules
• Terraform
• Multi-cloud AI infra
• Secure-by-default golden paths
• Config-as-code
• Secrets management
• Drift detection
• Harness pipelines
• Harness templates
• Harness delegates
• GitOps
• OPA policy-as-code
• Approval gates
• Linting
• Security scanning
• Model eval
• Cost checks
• Claude Desktop
• MCP servers
• AI coding assistants
• Copilot
• Cursor
• Claude Code
• Enterprise systems
• Agentic clients
• Regulated environments
• Productivity impact measurement
• Security controls
• Compliance controls
• Responsible AI controls
• Red-teaming
• Audit logging
• CloudWatch
• Azure Monitor
• Databricks system tables
• Grafana
• Datadog
• Data governance
• MLOps
• Security leadership
• Application leadership
• Scaling senior teams
• Executive communication
• Owning budgets/roadmaps
• AWS
• Azure
• Docker
• Kubernetes (EKS/AKS)
• Serverless
• API design
• GCP/Vertex AI
• Delta Lake
• Unity Catalog
• RAG/fine-tuning data pipelines
• Governance/lineage
• App Insights
• Arize
• Python
• TypeScript

Location

• Primary location specified

Work Type

• Full-time

Experience Level

• VP
• 10+ years in platform/cloud/SRE engineering
• 5+ years hands-on AWS and Azure
• 3+ years in technical leadership or people management

Education Level

• Bachelor's or Master's in CS, Engineering, or IT

Salary/Compensations

• $120,000 - $202,500 Annual

Benefits

• 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
• Eligibility for certain tax advantaged savings plans
• Inclusive development opportunities
• Flexible work-life support
• Paid volunteer days
• Vibrant employee networks

About the Company

• Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.
• We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
• We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
• As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most.
• Join us in shaping the future.

Equal Opportunity

• As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.