15 hours ago
San Mateo, CA, USA or San Diego, CA, USAStaff+
Base Salary
$170k - $310k/yr
Responsibilities
- Own and evolve the architecture of the Hivemind Forge AI development ecosystem.
- Define and maintain architecture products in an integrated model-based systems engineering environment.
- Establish architectural patterns, interfaces, APIs, SDK concepts, and technical standards across software, AI/ML, data, simulation, and deployment capabilities.
- Define data and metadata architecture covering schemas, lineage, provenance, versioning, and lifecycle management.
- Ensure traceability across datasets, training configurations, model artifacts, evaluations, software versions, and deployed capabilities.
- Architect GenAI-enabled and agentic workflows with appropriate human oversight, security, verification, and traceability.
- Define scalable AI/ML workload architectures across cloud, high-performance computing, and on-premises infrastructure.
- Architect deployment and operations for classified, air-gapped, disconnected, and other constrained environments.
- Guide workflows spanning data curation, synthetic data generation, model training and tuning, evaluation, optimization, validation, and deployment.
- Review and approve software and data designs, resolve cross-team architectural issues, and maintain architectural integrity through implementation and integration.
- Partner with software, AI/ML, data, systems, product, and technical leadership teams to accelerate deployable autonomy.
Requirements
- 10+ years of experience in software or software-intensive systems development, design, and/or architecture.
- Experience architecting complex software platforms, developer ecosystems, SDKs, APIs, AI/ML platforms, or distributed systems.
- Experience developing AI/ML solutions using synthetic and real-world data.
- Experience with data modeling and data architecture, including metadata, lineage, provenance, versioning, and lifecycle management.
- Understanding of end-to-end traceability, reproducibility, and auditability across data, training configurations, model artifacts, evaluations, software, and deployments.
- Experience applying Generative AI, AI assistants, or agents to software, AI/ML, or engineering workflows.
- Practical understanding of Kubernetes, Slurm or comparable workload schedulers, containerization, infrastructure as code, and S3-compatible object or data storage platforms.
- Strong technical leadership and communication skills for guiding detailed design across multiple engineering teams.
- Preferred experience with AI-native or agentic workflows, tool orchestration, retrieval, structured outputs, evaluation, and human-in-the-loop controls.
- Preferred experience with MLOps, distributed training, simulation, synthetic data generation, experiment tracking, or model registries.
- Preferred experience with VLMs, VLAs, world models, foundation models, or related modern AI models.
- Preferred experience with hybrid-cloud, multi-cloud, on-premises, or edge deployment architectures.
- Preferred experience with autonomy, robotics, aerospace, unmanned systems, or other Physical AI applications.
- Preferred experience with MBSE methods and tools, including SysML and Cameo/MagicDraw.
- Preferred experience delivering defense, aerospace, safety-relevant, or other high-assurance systems requiring rigorous configuration management, verification, and traceability.
Benefits
- Full-time regular employee package includes bonus, benefits, and equity in addition to pay within the listed range.
- Temporary employees receive a temporary benefits package applicable after 60 days of employment.
- The role is associated with Shield AI facilities and compensation ranges vary by work location, including San Diego and San Mateo, California.
- Offers are contingent on a cleared background and possible reference check.
- Military fellows and part-time employees are not eligible for benefits.
Tech Stack
Categories
About Shield AI
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide.