VP - Platform Engineer

RennerBrown; New York (NY); In loco; USD 175.000 - 215.000; Tempo pieno

Descrizione del lavoro

RennerBrown seeks a Vice President of Technology (Platform Engineer) to lead the design, build, and operation of the firm’s AI platform and developer infra in a secure, scalable environment. You will oversee Azure AI Foundry deployments, integrate external AI APIs, and drive DevSecOps practices across cloud infrastructure and pipelines.

The role requires 8+ years in infrastructure or data engineering, strong Python, and extensive Azure expertise.

Competenze

• Bachelor’s degree in computer science, Computer Engineering, or related field; Master’s degree is a plus.
• 8+ years in infrastructure engineering, cloud platform engineering, or data engineering.
• Proven experience building shared platforms or developer services in an enterprise environment.

Mansioni

• Design, build, and operate AI platform and developer infra to enable Python AI apps.
• Manage Azure AI Foundry environments: deployments, hubs, workspaces, access controls.
• Integrate third‑party AI APIs with secure access patterns, rate limiting and cost monitoring.
• Develop internal tooling and SDK scaffolding for faster AI app development.
• Build data pipelines with Azure Data Factory and Databricks; implement vector search and retrieval.
• Provision secure, scalable infra on Azure and AWS with IaC; maintain CI/CD and container workloads.
• Enforce security governance, data access controls, encryption, audit logging; enforce MNPI segregation.
• Produce architecture docs, runbooks, and assist developers; collaborate with architects and stakeholders.

Conoscenze

Azure

Python

Terraform

Bicep

Docker

Kubernetes

CI/CD

DevSecOps

RBAC

LangChain/SDKs

Azure Data Factory

Azure Databricks

Azure OpenAI

Formazione

Bachelor’s degree in computer science

Master’s degree (plus)

Strumenti

Azure AI Foundry

Azure Data Factory

Azure Databricks

AKS

Azure API Management

Azure Key Vault

Azure Entra ID

Terraform

Bicep

Docker

Kubernetes

Azure DevOps / GitHub Actions

LangChain / Semantic Kernel

Descrizione del lavoro

Vice President - Technology (Platform Engineer)

Responsibilities

• AI Platform & Developer Infrastructure Design, build, and operate the firm’s AI platform, enabling developers to build and deploy Python-based AI applications;
• Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls;
• Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring;
• Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm.
• Data Infrastructure & Pipelines Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs; Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications; Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB.
• Cloud Infrastructure & DevOps Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep); Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions; Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services; Drive Secure DevOps practices including secrets management, dependency scanning, and policy enforcement.
• Security, Governance & Compliance Implement data access controls, encryption, and audit logging aligned with SEC and FINRA requirements; Design MNPI data segregation controls and enforce AI governance guardrails including content filtering and usage logging for all AI API integrations; Manage identity and access for AI platforms using Azure Entra ID, RBAC, and managed identities; Collaborate with Compliance and Legal to ensure AI usage policies are enforced at the infrastructure level.
• Collaboration & Documentation Produce architecture designs, runbooks, and technical documentation for all platform components; Support application developers building AI-powered applications with platform guidance and troubleshooting; Partner with solution architects, data engineers, and business stakeholders to translate requirements into infrastructure.

Qualifications

Our client seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition, qualified candidates will possess the following: Bachelor’s degree in computer science, Computer Engineering, or related field (Master’s degree is a plus); 8+ years in infrastructure engineering, cloud platform engineering, or data engineering; Demonstrated experience building shared platforms or developer services in an enterprise environment; Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID; Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting; PowerShell for infrastructure tasks; Infrastructure-as-Code: Terraform and/or Bicep; container orchestration with Docker and Kubernetes; Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability; RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns; Familiarity with LLM application frameworks such as LangChain or Semantic Kernel; Cloud security fundamentals: RBAC, managed identities, private endpoints, Key Vault, and network segmentation; DevSecOps practices: secrets management, SAST tooling, and secure CI/CD pipeline design; Familiarity with AWS (Bedrock, S3, IAM) and agentic application frameworks (AutoGen, LangGraph); Experience with Microsoft Fabric, Databricks Unity Catalog, or Azure Synapse; Azure certifications: AI-102, DP-203, or AZ-305; Prior experience in investment banking or regulated financial services environments.

Expected annualized base salary of $175,000 to $215,000.