Lead ML Platform Architect — Scalable AI Infra (Remote)

Motion Recruitment

Massachusetts

Remote

USD 180,000 - 250,000

Full time

4 days ago
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Benefits offered by this job

100% employer-paid benefits
Unlimited PTO
401K
Remote work
Life Insurance
Continuous improvement culture

Job summary

TetraScience is seeking a Lead Software Platform Engineer to own and scale AI and data infrastructure for production-grade AI/ML workflows used by scientists at top pharmaceutical companies.

You will serve as the design authority for AI platforms, model serving, LLMs, agents, observability, security, and evaluation frameworks, defining the future direction of AI infra in regulated settings.

Qualifications

  • 10+ years in software and infrastructure engineering for distributed cloud-native systems.
  • Technical leader or architect responsible for design, scalability, performance and cost optimization.
  • Experience designing security into multi-tenant platforms handling sensitive data (PII/PHI) and LLM risks.

Responsibilities

  • Design and scale AI/ML platform architecture for production use.
  • Build model-serving and agent infrastructure across teams.
  • Develop evaluation, observability, and governance capabilities for AI platforms.
  • Partner with Applied AI, Data Engineering, Security, and Platform teams.
  • Provide technical leadership, architecture reviews, and mentorship.

Skills

Distributed systems
Technical leadership
Security for multi-tenant
AWS
CI/CD
Observability
Mentoring
REST/OpenAPI
LLM infrastructure
Python
TypeScript
Model serving

Tools

Databricks MLflow
Docker
AWS CDK
CloudFormation
OpenAPI
REST
Kubernetes

Job description

TetraScience is seeking a Lead Software Platform Engineer to own and scale AI and data infrastructure for production-grade AI/ML workflows used by scientists at top pharmaceutical companies.

You will serve as the design authority for AI platforms, model serving, LLMs, agents, observability, security, and evaluation frameworks, defining the future direction of AI infra in regulated settings.

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