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Lead AI Transformation Engineer
PresencialTiempo completoAI EngineeringCybersecurity
Own the technical strategy and hands-on delivery of an internal AI capability at a cybersecurity company. Build production agents, shared AI infrastructure, and evaluation and safety systems while advising leadership and business teams.
Responsabilidades
- Own the technical strategy, target architecture, model and vendor choices, and build-versus-buy decisions for internal AI.
- Define the AI portfolio, prioritization, success metrics, ROI standards, security controls, and auditability requirements.
- Design, build, deploy, and operate production AI agents and workflows from prototype through scale decisions.
- Build the AI context layer, including connectors, APIs, retrieval services, metadata, identity, authorization, controls, and tool interfaces.
- Develop secure agent tools and multi-step workflows using RAG, tool calling, and structured outputs.
- Establish reusable platform patterns, shared services, engineering standards, evaluation datasets, and automated quality checks.
- Partner with business owners to map processes, test with users, and assess accuracy, groundedness, task completion, safety, cost, adoption, and cycle-time impact.
- Advise leadership, review AI initiatives across the organization, mentor AI Champions, and manage the AI Champions community.
- Continuously evaluate models, vendors, and frameworks.
Requisitos
- At least 4 years of production software engineering experience, including strong Python, APIs, testing, CI/CD, data contracts, and cloud services.
- Evidence of senior-level technical ownership, including setting direction, making architecture decisions, and carrying systems through production.
- Ability to turn ambiguous business needs into technical plans and explain trade-offs clearly to non-technical stakeholders.
- Ownership mindset focused on measurable changes to business processes, not only successful demonstrations.
Se valora
- Experience as an early AI hire or in establishing an internal AI platform or function.
- Product management experience.
- Experience building internal platforms or company-wide data products.