Senior System Architect, Hivemind Forge AI Ecosystem

f7d8749a-72d6-407c-bf98-292ea630c73a; San Diego (CA); On-site; USD 170,000 - 310,000; Full time

Job summary

Shield AI seeks an experienced System Architect to own the Hivemind Forge architecture, guiding MBSE-driven development and integrating AI/ML tools, data, and simulation across cloud, HPC, and on-prem environments.

You will shape data lineage, governance, and reproducibility while driving GenAI-enabled workflows and secure deployments in classified or air-gapped settings. San Diego-based, full-time role.

Qualifications

• 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 in 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 configs, 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 schedulers, containerization, IaC, and object/data storage like S3.
• Strong technical leadership and communication skills.

Responsibilities

• Own and evolve the architecture of the Hivemind Forge AI development ecosystem.
• Define architecture products in an MBSE environment, linking intent to engineering execution.
• Establish patterns, interfaces, APIs, SDK concepts, and standards across software, AI/ML, data, simulation, and deployment.
• Define data/metadata architecture including schemas, lineage, provenance, versioning, lifecycle management.
• Ensure traceable pedigree across datasets, training configs, model artifacts, evaluations, software versions, deployments.
• Architect GenAI-enabled workflows to accelerate data curation, autonomy development, experimentation, evaluation, and deployment with human oversight.
• Define architecture for integrating AI coding assistants, agents, foundation models, and NL interfaces with tools and workflows.
• Design architectures for scalable AI/ML workloads across cloud, HPC, and on-prem; include orchestration, scheduling, containerization, storage, data movement.
• Ensure operation in classified, air-gapped, and constrained environments with security and reproducibility.
• Guide workflows from data ingestion to deployment including data curation, synthetic data, model training, evaluation, and deployment.
• Review and approve designs; resolve cross-team architectural issues; maintain integrity through implementation.

Skills

10+ years experience

Architect complex platforms

AI/ML solutions

Data modeling & architecture

End-to-end traceability

Generative AI workflows

Kubernetes & HPC

Leadership & communication

Tools

SysML

Cameo/MagicDraw

Kubernetes

Slurm

IaC tools

S3-compatible storage

Job description

Shield AI seeks an experienced System Architect to own the Hivemind Forge architecture, guiding MBSE-driven development and integrating AI/ML tools, data, and simulation across cloud, HPC, and on-prem environments.

You will shape data lineage, governance, and reproducibility while driving GenAI-enabled workflows and secure deployments in classified or air-gapped settings. San Diego-based, full-time role.