MSX International
vehicle manufacturers, mobility organizations
AISolutionsArchitect
“AI Solutions Architect at MSX International. Skills: AI Solutions Architecture, Generative AI, Machine Learning, Technical Design, Scalability, Cost-Efficiency. Designing scalable, secure, and high-performance blueprints that support turning AI concepts into production-grade enterprise assets. Recommending reference architectures for AI related solutions across the enterprise”
What You'll Achieve.
AI solutions successfully deployed from concept to production; Scalable, reusable architecture patterns adopted across the enterprise; Optimized cost, performance, and reliability of AI systems; alignment between business needs, engineering delivery, and governance requirements
Industry & Context.
technical leadership and influence across teams; technical design, feasibility evaluation, and architectural integrity
What They're Looking For.
Must Have
5+ years of significant experience in designing end-to-end technical architectures for Machine Learning and Generative AI solutions, Proven track record in conducting technical feasibility assessments, rapid prototyping (POCs/MVPs), and bridging business requirements with engineering execution, Experience with enterprise-scale systems, security standards, and AI governance is critical, Expertise in AI design patterns (such as RAG, Fine-tuning, and Agentic workflows) and model evaluation frameworks, technical leadership and mentorship abilities, exceptional stakeholder management across cross-functional teams (Security, Data, Infrastructure), the capability to optimize architectures for scalability, cost-efficiency, and reliability, Professional proficiency in English required
Nice to Have
Italian and/or additional European languages are a plus
What You'll Do.
and high-performance blueprints that support turning AI concepts into production-grade enterprise assets
Recommending reference architectures for AI related solutions across the enterprise
Designing end-to-end pipelines for Generative AI
and Agentic workflows
Ensuring that AI solutions are modular
and aligned with enterprise security and compliance standards
Recommending the optimal technical stack for specific business use cases
Partnering with AI & Data Governance to ensure architectures align with risk
and lifecycle requirements
Conducting evaluation of the technical feasibility of AI related initiatives
Conducting rapid prototyping
to validate AI-specific technical assumptions
Supporting defining technical requirements
and integration points for AI related initiatives
Collaborating with Security
and Infrastructure teams to validate architectural assumptions and verify technical fit within the enterprise environment
Providing high-level effort estimations and resource requirements for AI implementations
Supporting defining what AI models need to move beyond "lab" environments into robust
scalable production systems
Supporting defining requirements for scaling
Recommending optimized architectures for latency
cost-efficiency (token management)
Assessing cost impact of model choices
and orchestration designs to recommend sustainable options
Establishing patterns for AI safety
and "Human-in-the-loop" architectural components
Ensuring architectural decisions follow the AI governance model
including risk reviews
and required documentation
Providing technical oversight and architecture reviews for AI related projects
Monitoring emerging AI patterns (RAG
Collaborating with the AI & Data Transformation Lead to support Value Streams and Support Functions on advisory support for AI uses cases
Maintaining and evolving a set of reusable AI architecture patterns and component templates to support enterprise scaling
Designing and executing the technical assessment of AI models
and emerging technologies to ensure enterprise-grade performance
Applying structured LLM validation frameworks to assess model performance
and technical suitability
Reviewing external AI products and services from a technical perspective to gauge architectural fit and integration readiness
Staying at the forefront of AI research to identify and integrate new technical capabilities
Ensuring AI related solutions maintain technical flexibility and avoid architectural lock-in through modular design and standardized AI interfaces
Maintaining concise architectural documentation that supports decision-making
How You'll Work.
Team & Collaboration
Partner with AI & Data Governance; Collaborate with Security, Data, and Infrastructure teams; Collaborate with the AI & Data Transformation Lead; stakeholder management across cross-functional teams (Security, Data, Infrastructure)
Communication Scope
Professional proficiency in English required
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