AI Platform Architect
At a glance
Mid-level ML Platform & Ops role at Unisys. Budapest.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Set architecture direction for enterprise platforms, spanning new builds, legacy upgrades and complex stakeholder settings
- Establish API rules and integration approaches, then guide how teams apply them across the organisation
- Design and run on-premises, cloud and hybrid infrastructure on AWS, Azure and GCP, balancing scale, cost and compliance
- Build and operate AI/ML platforms covering LLM workflows, GPU capacity and agent coordination
- Set up secure delivery practices, advise board-level leaders, and strengthen engineering teams and technology governance
What you bring
- Substantial experience in enterprise architecture, platform engineering or infrastructure leadership
- A record of delivering complex platforms across cloud, hybrid and enterprise environments
- Deep expertise in architecture standards, governance, technology strategy, AI/ML platforms and data architecture
- Experience advising senior leaders or boards and leading engineering or architecture teams in complex settings
- Background working with demanding security, risk and compliance requirements in regulated environments
Who this fits
This role suits an experienced architecture or platform leader who can advise at board level and guide engineering teams. The position is based in Budapest and offers a hybrid working model.
From the employer
What success looks like in this role:
- 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
You will be successful in this role if you have:
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
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here.