AI Platform Architect

Stack

Responsibilities

• ▹Lead enterprise and solution architecture across complex, multi-stakeholder environments, from greenfield platforms to legacy transformation
• ▹Define and own API strategy, governance frameworks, and integration patterns at organisational level
• ▹Design and deliver on-prem, cloud-native and hybrid infrastructure across AWS, Azure and GCP with a focus on scalability, cost, and compliance
• ▹Architect and operate AI/ML platforms including LLM pipelines, GPU infrastructure, and agentic orchestration
• ▹Establish DevSecOps practices including CI/CD, Infrastructure as Code, and automated deployment pipelines
• ▹Define data architecture, integration patterns, and analytics capability to support decision-making
• ▹Lead vendor evaluation, procurement, and technology selection, including AI and LLM tooling
• ▹Provide board-level advisory on technology strategy, digital transformation and risk
• ▹Build and mentor engineering teams and uplift capability through structured practices and frameworks
• ▹Own governance, security and compliance posture across regulatory and emerging AI frameworks

Requirements

• ▹Significant experience in enterprise architecture, platform engineering, or infrastructure leadership roles
• ▹Proven track record designing and delivering complex cloud, hybrid, and enterprise-scale platforms
• ▹Deep experience in defining architecture standards, governance models, and technology strategy
• ▹Strong background in AI/ML platforms, data architecture, and emerging technology adoption
• ▹Experience operating at senior stakeholder and board level, including advisory and decision support
• ▹Demonstrable leadership of engineering and architecture teams in complex, multi-stakeholder environments
• ▹Experience working within regulated environments with strong security, risk, and compliance requirements
• ▹Proven ability to balance innovation with operational stability, cost, and scalability
• ▹On-Prem, Cloud & Infrastructure: Dell AI Factory, AWS, Azure, GCP; Terraform; containerisation and CI/CD pipelines
• ▹AI/ML & LLM Operations: GPU infrastructure, model deployment, inference optimisation, agentic workflows
• ▹Security & Identity: SSO, OAuth2/OIDC, ISO27001, PCI DSS, GDPR, emerging AI regulation
• ▹APIs & Integration: REST, GraphQL, enterprise API governance
• ▹Data & Analytics: ETL, data warehousing, BI tooling, compliant data architecture
• ▹Frameworks & Methods: SAFe, Agile, Domain-Driven Design

Soft skills

What we offer

• ▹Hybrid working model
• ▹Monthly gross 44,200 HUF cafeteria, regardless of weekly working hours
• ▹Home office allowance
• ▹Private Health Insurance (Generali Premium Package) for all Unisys associates after 6 months
• ▹Supportive, collaborative team with plenty of learning and development opportunities