Principal Software Engineer (Senior Architect) - AI Platform

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Role overview A cybersecurity organization is forming a new AI Platform team to unify and accelerate the delivery of AI-powered capabilities across its product suite, and this Principal Engineer role serves as the founding technical leader of that effort.

It blends deep platform architecture with hands-on product work, turning proven but distributed AI features into reusable infrastructure that any team can build on.

Responsibilities • Define the multi-year technical roadmap for the AI platform, covering model gateway and routing, agent and tool-use infrastructure, evaluation pipelines, and AI observability. • Act as tech lead by owning architectural decisions, setting engineering standards, reviewing critical designs, and guiding implementation across the team without direct people management. • Translate business strategy into platform capabilities and engineering priorities in partnership with product and engineering leaders on business-critical AI initiatives. • Build customer-facing AI experiences hands-on with product teams, then productize them into shared, reusable platform capabilities. • Lead build-versus-buy decisions for the core platform stack, weighing security, cost, scalability, and time-to-value. • Mentor senior engineers across the organization and serve as a recognized authority on AI infrastructure.

Requirements • Twelve or more years building and operating large-scale distributed systems, with several years driving architecture for platform or infrastructure products consumed by multiple teams. • Hands-on experience taking LLM-based systems to production, including model integration and routing, retrieval-augmented or agent architectures, evaluation harnesses, and cost, latency, and quality optimization. • Strong coding skills in a mainstream backend language such as Python or Go, plus deep experience with Kubernetes and cloud infrastructure. • Strong product instincts, with a track record of building customer-facing products and translating customer needs into technical decisions. • Demonstrated success as a tech lead on cross-team initiatives with ambiguous requirements, turning broad business goals into a sequenced technical roadmap.

Benefits and work setup The role offers equity participation along with a performance-based bonus and an employee stock purchase program. Time-off benefits include flexible paid leave on top of a multi-week PTO baseline, paid wellness days, fully paid short-term sick and nursing leave, and gender-neutral parental leave.

The work setup supports hybrid work in Prague or Brno with a minimum in-office expectation for Prague-based staff, and remote work within Czechia or Slovakia, complemented by a home office allowance, meal allowance, wellness allowance, and a multi-sport benefit program.

The position partners directly with engineering leadership to define the long-term technical vision, consolidate existing AI capabilities into a single coherent platform, and ensure every AI feature meets security, cost, and quality standards.

Nice to have • Background operating at the intersection of cybersecurity and AI, or building platforms for security-adjacent use cases. • Public technical presence through talks, writing, or open-source contributions in AI infrastructure or MLOps.

Insurance and financial coverage include private medical care, life and disability insurance, a pension contribution, global business travel medical insurance, and an employee assistance program.