Pjtpartners

Pjtpartners

Vice President - Technology (Senior Data & AI Infrastructure Platform Engineer)

New York · Exec

Sponsorship not specified$175k-$215kDetected 19 days ago
PythonPowerShellFastAPIFlaskBackend DevelopmentGitSQLDatabricksAWSAzureCloud PlatformsDockerKubernetesTerraformCI/CDGitHub ActionsDevOpsPlatform EngineeringRESTData EngineeringComputer VisionLLMsRAGLangGraph

About the role

  • We also provide, through PJT Park Hill, private fund advisory and fundraising services for alternative investment managers, including private equity funds, real estate funds and hedge funds.
  • Our perspective was, and remains, that a great team brings in both top tier clients and appeals to a wide-range of diverse, talented colleagues.
  • Fostering an inclusive culture, which welcomes differing perspectives and beliefs, enables us to provide the best advice and insights to our clients.

Responsibilities

  • The PJT Partners Technology team is responsible for creating and continuously improving a robust and secure technology foundation that supports the firm's business activities.
  • Our Technology team is seeking a Data and AI Infrastructure Engineer to build secure, scalable platforms and pipelines that power the firm's AI initiatives.
  • You will work with data engineers, application developers, architects, and business stakeholders to deliver AI-ready infrastructure that meets the firm's security and compliance requirements.
  • 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
  • Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm.
  • 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.
  • Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep)

Requirements

  • Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID;
  • PJT Partners seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition, qualified candidates will possess the following:
  • Demonstrated experience building shared platforms or developer services in an enterprise environment
  • 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
  • RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns
  • DevSecOps practices: secrets management, SAST tooling, and secure CI/CD pipeline design

Nice to have

  • Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring;
  • 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;

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;
  • Familiarity with LLM application frameworks such as LangChain or Semantic Kernel;
  • Cloud security fundamentals: RBAC, managed identities, private endpoints, Key Vault, and network segmentation;
  • 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.
  • This range represents the low and high ends of the expected annualized base salary for this position.
  • PJT is an equal opportunity employer.

Compensation

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

Company info

  • This is a platform engineering role - the focus is building the infrastructure and developer tooling that enables teams to rapidly develop and deploy AI-powered Python applications using Azure AI Foundry and the Claude API (Anthropic), not training custom models.

Visa & Work Authorization

  • nts for employment without regard to race, color, religious creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity expressi
Apply directly at Pjtpartners →Create a free account for alerts like thisView Pjtpartners immigration profile

This listing is sourced directly from Pjtpartners's careers page and normalized into a canonical job model.