Staff AI/ML Platform Architect (Remote, US)

Raft

Boston (MA)

Remote

USD 180,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Healthcare coverage
401(k) match
PTO + holidays
Education benefits
Referral bonuses

Job summary

Raft is hiring a Staff Engineer for [R]AIMS, a high-impact AI/ML mission system. You will lead architecture, drive major epics, and work hands-on in production-grade systems. Expect collaboration across platform, product, and delivery teams, with DoD stakeholders and Tier-1 security requirements.

The role requires 6+ years building scalable systems, strong Kubernetes and cloud expertise, and the ability to obtain Security+ within 90 days. U.S.

Qualifications

  • 6+ years of hands-on experience building and shipping production software systems across the full stack (frontend, backend, infrastructure, and ML)
  • Deep software engineering fundamentals; ability to design and evolve complex systems
  • Exceptional technical communication; lead through influence across teams
  • Proven experience designing distributed systems, service decomposition and observability
  • Strong hands-on experience with Kubernetes and cloud-native platform architecture
  • Experience building data-intensive or AI-enabled production systems with real users and constraints
  • Demonstrated technical leadership over large, cross-functional initiatives
  • Strong system design and architecture decision-making abilities
  • Some exposure to training, fine-tuning, or deploying ML models in production contexts
  • Ability to obtain Security+ within first 90 days; US citizenship and TS/SCI clearance

Responsibilities

  • Drive architectural decisions across the [R]AIMS platform evaluating performance, scalability, security, and maintainability
  • Lead major technical epics from conception through delivery
  • Simplify distributed system architecture as the platform scales
  • Optimize platform performance for edge and cloud deployments
  • Establish engineering foundations and reusable patterns
  • Mentor engineers across levels and review designs
  • Collaborate with AI/ML engineers on model integration and deployment
  • Engage with customers and DoD stakeholders to present Raft's capabilities

Skills

Distributed systems
Kubernetes
AI/ML platforms
Leadership
Technical communication
Security+ readiness
Cross-functional collaboration
System design

Tools

Kubernetes
Apache Kafka
Flink
Docker

Job description

Raft is hiring a Staff Engineer for [R]AIMS, a high-impact AI/ML mission system. You will lead architecture, drive major epics, and work hands-on in production-grade systems. Expect collaboration across platform, product, and delivery teams, with DoD stakeholders and Tier-1 security requirements.

The role requires 6+ years building scalable systems, strong Kubernetes and cloud expertise, and the ability to obtain Security+ within 90 days. U.S.

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