Teams at kAIgentic

Leads the engineering organization building reliable, governed AI execution platforms for regulated banking customers. Owns engineering strategy, high-availability workflows, deployment within bank infrastructure, multi-LLM governance, auditability, observability, incident response, and regulatory compliance. Builds cross-functional teams, hires senior talent, translates evolving requirements into roadmaps, and represents the company with customers and regulators.

Lead the design and production implementation of AI research systems that transform enterprise knowledge into governed, provenance-rich ontologies. Build grounded extraction, knowledge graphs, retrieval-generation pipelines, model adaptation loops, reinforcement-learning environments, learning infrastructure, and rigorous evaluation frameworks. Ensure outputs are evidence-backed, safe, observable, and optimized for quality, latency, and cost in regulated enterprise environments.

Build and own production CI/CD pipelines with automated security gates, policy-as-code enforcement, secrets rotation, vulnerability auto-remediation, zero-downtime deployment, rollback, and self-healing infrastructure. Improve developer feedback loops, deployment observability, incident recovery, and compliance enforcement across build and runtime environments. The role requires strong expertise with Git, CI/CD platforms, Docker, Kubernetes, infrastructure-as-code, security controls, and automated remediation.