Senior Staff Engineer (System Architect)

Shield AI as a Senior Staff Engineer (System Architect) and take ownership of the architecture of Hivemind Forge, an AI development ecosystem. You will work at the intersection of software architecture, AI/ML, data architecture, systems engineering, developer experience, and Generative AI-enabled engineering. Your responsibilities will include defining and maintaining architecture products, establishing architectural patterns and technical standards, and ensuring the ecosystem can operate across various deployment environments.

Responsibilities

• You will also guide architecture for workflows spanning data ingestion and curation, model training and tuning, evaluation, optimization, validation, and deployment.
• Own and evolve the architecture of the Hivemind Forge AI development ecosystem, ensuring architectural integrity across development teams.
• Define and maintain architecture products in an integrated model-based systems engineering (MBSE) environment, connecting architectural intent to engineering execution.
• Establish architectural patterns, interfaces, APIs, SDK concepts, and technical standards across software, AI/ML, data, simulation, and deployment capabilities.
• Understanding of how data, training configurations, model artifacts, evaluations, software, and deployments must be connected to provide end-to-end traceability, reproducibility, and auditability

Requirements

• Experience developing AI/ML solutions using synthetic and real-world data
• Experience in data modeling and data architecture, including metadata, lineage, provenance, versioning, and lifecycle management
• Strong technical leadership and communication skills, with the ability to guide detailed design and maintain alignment across multiple engineering teams
• Experience applying Generative AI, AI assistants, or agents to software, AI/ML, or engineering development workflows
• Practical understanding of technologies such as Kubernetes, Slurm or comparable workload schedulers, containerization, infrastructure as code, and object/data storage platforms such as S3-compatible systems
• Demonstrated experience architecting complex software platforms, developer ecosystems, SDKs, APIs, AI/ML platforms, or distributed systems
• 10+ years of experience in software or software-intensive systems development, design, and/or architecture
• Experience designing AI-native or agentic workflows, including tool use, orchestration, retrieval, structured outputs, evaluation, and human-in-the-loop controls
• Experience applying MBSE methods and tools, including SysML and Cameo/MagicDraw

Preferred

• Experience with MLOps, distributed training, simulation, synthetic data generation, experiment tracking, or model registries
• Direct experience developing, training, tuning, evaluating, applying, or deploying VLMs, VLAs, world models, foundation models, or related modern AI models
• Experience designing, deploying, or operating software and AI/ML platforms in classified, air-gapped, disconnected, or restricted-network environments
• Experience with hybrid-cloud, multi-cloud, on-premises, or edge deployment architectures
• Experience architecting autonomy, robotics, aerospace, unmanned systems, or other Physical AI applications
• Experience delivering defense, aerospace, safety-relevant, or other high-assurance systems requiring rigorous configuration management, verification, and traceability

Pay

USD 210,000 - 310,000