AI Platform Architect

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Platform Architect Budapest, Hungary 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

Read the full description at unisys.wd5.myworkdayjobs.com. FewerJobs shows a preview and links to the original posting.