Senior Staff Engineer – System Architect

About the role

Shield AI is looking for an experienced System Architect to own the architecture of Hivemind Forge, an AI development ecosystem that enables developers to build, train, tune, evaluate, optimize, and deploy learning‑based autonomy solutions. You will join the Systems Engineering, Integration & Test team within the Hivemind Enterprise organization.

Key responsibilities

• Define and evolve the comprehensive architecture for Hivemind Forge, linking architectural intent to engineering execution.
• Establish architectural patterns, interfaces, APIs, SDK concepts, and technical standards across software, AI/ML, data, simulation, and deployment capabilities.
• Design data and metadata architecture, including schemas, lineage, provenance, versioning, and lifecycle management.
• Architect GenAI‑enabled and agentic development workflows that preserve security, verification, and traceability.
• Ensure the ecosystem operates across cloud, high‑performance compute, and secure or disconnected environments.
• Review and approve detailed software and data designs, resolving cross‑team architectural issues.

Required profile

• 10+ years of experience in software‑intensive systems development, design, or architecture.
• Proven experience architecting complex software platforms, developer ecosystems, SDKs, APIs, AI/ML platforms, or distributed systems.
• Strong background in data modeling, metadata, lineage, provenance, and lifecycle management.
• Hands‑on experience with AI/ML solutions using synthetic and real‑world data.
• Practical knowledge of Kubernetes, Slurm or comparable workload schedulers, containerization, infrastructure‑as‑code, and S3‑compatible storage.
• Excellent technical leadership and communication skills.

Required skills

• Kubernetes
• Slurm (or comparable workload scheduler)
• Containerization
• Infrastructure as code
• S3‑compatible object storage
• Data modeling and metadata management
• MLOps and distributed training
• Simulation and synthetic data generation
• Model registries
• Model‑based systems engineering (MBSE)
• SysML
• Cameo/MagicDraw