AI Platform Architect

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Unisys Magyarország Kft
Munkavégzés helye

Hibrid • Regus - Budapest, BudapestOne Centre - Budapest, Balatoni út 2-a-1St Floor, B Épület, 1112

Egyéb juttatások
- Egészségpénztár
- Cafeteria
- Szakmai tréningek
- Egészségbiztosítás
- Élet- és balesetbiztosítás
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Kisgyermekeseknek
- Általános munkarend
Elvárt technológiák
- CLOUD API AWS AZURE ANALYTICS SECURITY BI GDPR REST AGILE
Biztosított eszközök
- Laptop
- Monitor (1 db)
- Windows
- Desktop PC
- Headset
Elvárások
- Angol középfok
- >10 év tapasztalat
- Egyetem

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Responsibilities

As an AI Platform Architect, you will spearhead the design, implementation, and governance of our enterprise-grade AI and cloud ecosystems. You are responsible for defining a scalable, secure, and compliant architecture within complex environments, ensuring that our AI capabilities are seamlessly integrated at an organizational level through robust infrastructure, clear standards, and long-term technical strategy.

Key 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 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

Technical Competencies

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

Leadership & Impact

Operates at enterprise and board level
Shapes long-term platform and technology strategy
Balances innovation with risk, governance, and scalability
Drives organisational capability uplift

Requirements

Experience Profile (Indicative)

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

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
And last but not least: a supportive, collaborative team with plenty of learning and development opportunities