2 months ago
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
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.