Senior AI Platform Engineer — Secure, Scalable AI Infra

Arrowstreet Capital, Limited Partnership; Boston (MA); Sur place; USD 195 000 - 325 000; Plein temps

Avantages offerts par ce poste

Competitive compensation package

Résumé du poste

Arrowstreet Capital in Boston is seeking a Senior AI Platform Engineer to design and own the shared platform powering AI systems firm-wide, including inference services, agentic platforms, and developer tooling.

This role emphasizes security by default, auditability, and regulatory compliance in a financial services environment, with collaboration across Security Engineering, AI Integration teams, and core infrastructure.

Qualifications

• 10+ years as an infrastructure, platform, or systems engineer in large scale environments.
• Strong expertise in AWS Bedrock and Azure OpenAI.
• Experience designing and implementing MCP registries, gateways, and authorization flows.
• Hands‑on experience with production LLM workloads.
• Experience enforcing AI security controls at platform level in regulated settings.
• Track record building production‑quality agentic AI patterns and developer‑facing services.

Responsabilités

• Platform Infrastructure: design and operate core AI platform, including inference services and access management.
• Design shared integration layers connecting AI platforms to core firm systems.
• Develop AI productivity data pipelines and dashboards for usage and cost metrics.
• Build self-service onboarding and cost-control mechanisms for AI workloads.
• Define reference architectures and patterns for teams to reuse across use cases.

Connaissances

AWS Bedrock

Azure OpenAI

Platform design

Security controls

LLM workloads

Communication skills

Outils

MCP registries

MCP gateway

Authorization flows

Splunk

Datadog

Grafana

Kubernetes

Description du poste

Arrowstreet Capital in Boston is seeking a Senior AI Platform Engineer to design and own the shared platform powering AI systems firm-wide, including inference services, agentic platforms, and developer tooling.

This role emphasizes security by default, auditability, and regulatory compliance in a financial services environment, with collaboration across Security Engineering, AI Integration teams, and core infrastructure.