Build the agentic-security surface. Partner on red-teaming and adversarial evaluation - tool-chain exploits, RBAC and permission-inheritance failures, multi-turn safety erosion - so we catch what a motivated adversary would.
Provide technical and product leadership across the end-to-end AI lifecycle, from research, experimentation and prototyping through production deployment, monitoring and continuous improvement.
Advanced Modeling: Apply dimensional modeling (Kimball/Inmon) to ensure data structures reflect actual business processes, making them intuitive for AI models and analysts alike.
Knowledge Base Architecture: Build and iterate on domain knowledge bases, codifying professional judgment criteria, standard analysis protocols, and industry know-how into governable, reusable digital assets.
Select the appropriate architecture for each use case rather than applying multi-agent patterns by default:Deterministic workflow and state-machine architectures for repeatable, high-confidence operational processes.Planner-executor architectures for decomposing complex investigation, planning, and remediation tasks.Supervisor-worker or manager-worker architectures for coordinating specialist domain agents.Router architectures for selecting the right model, tool, knowledge source, workflow, or specialist agent.Reflection, critic, verifier, or judge patterns for quality assurance, validation, and safety checks.Event-driven architectures for responding to telemetry anomalies, workload failures, scheduler events, benchmark regressions, and operational alerts.Human-in-the-loop architectures for high-impact recommendations, privileged actions, or changes to production environments.
In this senior leadership role, you will bridge the gap between commercial revenue and hands-on AI software solution design. You will lead business development and B2B client acquisition while actively collaborating with internal technical developers and external agencies—leveraging modern AI-assisted workflows (Vibe Coding)—to package technical capabilities into high-value solutions and close commercial deals with Small and Medium Enterprises (SMEs).
Serve as first line of engineering support for onsite operational issues, including troubleshooting hardware, network and software problems, and firmware compliance.
Serve as first line of engineering support for onsite operational issues, including troubleshooting hardware, network and software problems, and firmware compliance.