Arrowstreet Capital

Arrowstreet Capital

Senior AI Platform Engineer

Boston · Senior

Sponsorship not specified$200k-$325kDetected 51 days ago
Vector DatabasesAWSAzureKubernetesLinuxGrafanaDatadogPlatform EngineeringMachine LearningData EngineeringLLMsRAGAgentic AICybersecurityComplianceDesign SystemsExcelRecruitingSystems EngineeringCommunication

About the role

  • You will ensure that AI capabilities are secure by default, auditable end-to-end, and easy for engineering teams to adopt.

Responsibilities

  • Design, build, and operate the core AI platform, including managed LLM inference services (Amazon Bedrock and related), model access management, versioning, and routing across foundation models
  • Design and operate shared integration layers, including MCP servers, an MCP registry/gateway, and authorization services that connect AI platforms with core firm systems
  • Design and operate AI productivity data pipelines and dashboards for usage, cost, and adoption metrics
  • Design the infrastructure that supports AI-assisted developer tooling (Linux VDI environments), office productivity integrations (M365/Excel), and autonomous agent frameworks
  • Develop standardized inference and agentic AI platforms that teams can adopt across use cases, including reusable components for RAG, vector databases, and model integration patterns
  • Partner with Security Engineering to embed security controls across the full AI lifecycle
  • Design, with the AI Security Engineer and infrastructure/platform teams, the controls that prevent destructive agent actions: filesystem permissions, IAM policies, network allowlists, sandbox configurations, and execution-time policy enforcement
  • Implement pre-execution guardrails (hooks, policy engines) that intercept and validate agent actions before they run
  • Build self-service onboarding so teams can consume AI platform services with appropriate access controls
  • Design systems that enable cost-effective operation of AI workloads, including quota management and chargeback visibility

Requirements

  • Strong expertise in AWS Bedrock (inference / agent core) and Azure OpenAI
  • Strong expertise in designing and implementing MCP registries, gateways, servers and Authorization flows
  • Hands-on experience supporting LLM-based workloads in production environments
  • Experience designing and enforcing AI security controls at the platform layer in a regulated or security-sensitive environment
  • Strong written and verbal communication skills, with the ability to work effectively across security, application, and infrastructure teams

Nice to have

  • Experience with Microsoft M365 Copilot / Copilot Agents
  • Familiarity with containerized and Kubernetes-based environments
  • Experience with model fine-tuning workflows and ML lifecycle tooling
  • Familiarity with DLP tooling and data classification frameworks
  • Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture.
  • Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans.

Compensation

  • The base salary range for this position is $200,000 - $325,000 per year.

Company info

  • We are building an AI Engineering function to enable productivity and agentic capabilities across the firm, for end users, developers, and business teams.
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This listing is sourced directly from Arrowstreet Capital's careers page and normalized into a canonical job model.