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Senior AI Solutions Architect in Cluj-Napoca—design, govern, and innovate enterprise AI solutions. Hybrid role at MarshTech's EMEA hub.
Partner with engineers, product, and business teams to shape AI architecture and lead experimentation in a global risk leader.
Company
Company: Marsh Corporate
Description
We are seeking an experienced AI Solutions Architect to partner with engineering, product, and business teams to design and guide the delivery of enterprise-grade, AI-enabled solutions. This is a senior individual contributor role responsible for solution-level architecture across AI initiatives, ensuring designs align with enterprise standards, security requirements, and long-term platform direction.
In addition, this role plays a key part in leading innovation and experimentation within the AI domain. You will explore emerging AI technologies, architectural patterns, and tools through targeted experimentation, helping the organization understand what is viable, valuable, and scalable in an enterprise context.
You will work closely with Engineering Managers, Tech Leads, and delivery pods, providing architectural guidance from early discovery through delivery and production. You will help teams translate business problems into robust, scalable AI solution designs and ensure those designs are implemented consistently across initiatives.
This role plays a key part in shaping how AI solutions are architected, governed, and delivered across the organisation.
Marsh has established its EMEA Technology Hub in Cluj, Romania, reflecting our commitment to innovation and excellence. This hub is central to our digital strategy, addressing emerging challenges and enhancing service delivery through advanced technology solutions that empower our clients and promote sustainable growth.
Responsibilities
We will count on you to:
- Design and govern AI solution architectures
- Work with business and technology partners to understand problems, opportunities, and constraints.
- Design, document, and communicate solution architectures for AI-enabled systems, from data ingestion through to user-facing applications.
- Ensure architectures align with enterprise standards, reference architectures, and platform strategies.
- Incorporate reuse, standardisation, and security-by-design principles into solution designs.
- Balance agility (“fail fast”) with the resilience required for enterprise production systems.
Support delivery teams
- Partner with Engineering Managers, Tech Leads, and delivery pods to guide architectural decisions throughout delivery.
- Participate in design reviews and provide architectural assurance as part of formal or informal governance processes.
- Support teams during implementation, from infrastructure setup through to production readiness, as needed.
- Enable teams to deliver solutions independently, avoiding over‑prescription or unnecessary complexity.
Lead AI innovation and experimentation
- Lead targeted experimentation and technical spikes to evaluate emerging AI technologies, tools, and architectural approaches.
- Design and run proofs of concept to de‑risk complex AI solutions before wider adoption.
- Translate experimentation outcomes into clear architectural guidance, patterns, and standards for delivery teams.
- Partner with Engineering Managers, Tech Leads, and the AI CoE to move successful experiments into production‑ready solutions.
- Ensure innovation activities consider security, governance, cost, and operability from the outset.
Shape enterprise AI practices
- Contribute to the evolution of enterprise AI architecture patterns, standards, and guidance.
- Influence technology roadmaps by identifying opportunities for platform modernisation and component reuse.
- Participate in architecture communities of practice and knowledge sharing across the organisation.
- Bring a shift-left mindset, ensuring quality, automation, and operability are designed in early.
Cost, risk, and compliance awareness
- Support cost estimation and solution sizing during planning and budget cycles.
- Ensure AI solutions comply with governance, security, privacy, and regulatory requirements.
- Identify architectural risks and trade-offs early and communicate them clearly to stakeholders.
Requirements
What you need to have:
- 3 - 4 years of relevant professional software engineering experience in production environments;
- 1 - 2 years of hands‑on experience working with Large Language Models (LLMs);
- Proficiency in a modern frontend framework, ideally React with TypeScript (Angular is also acceptable);
- Hands‑on experience with NestJS/NodeJS;
- Experience with or working knowledge of FastAPI or Django using Python;
- Strong understanding of RESTful APIs;
- Experience working in Agile delivery teams;
- Exposure to deploying and maintaining cloud-based systems;
- Strong communication skills in English and Romania;
- Modern application architectures (e.g., microservices, API-driven systems)
- Full-stack or middleware technologies (e.g., JavaScript/TypeScript, .NET, Python)
- Cloud-native architectures and containerisation (e.g., Kubernetes)
- Identity and access management (e.g., OAuth, SAML, MFA)
- Secure DevOps and Secure by Design principles
- Data platforms (e.g., data lakes, analytics, BI tooling)
- Observability and application performance monitoring
- Familiarity with architectural documentation standards (e.g., C4, UML, ArchiMate)
Benefits
Why join our team:
- Work in an environment that empowers individuals to reach their full potential, fostering personal and professional growth
- We help you be your best through professional development opportunities, interesting work, and supportive leaders;
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact for colleagues, clients, and communities;
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being;
- A yearly budget and the opportunity to build your flexible benefits package (up to 20% of your annual salary);
- 30+ days off (including legal days, birthday, public holiday replacements, and benefits options);
- Performance bonus scheme;
- Matching charity contributions, charity days off, and the Pay it Forward charity challenge;
- Core benefits: Pension, Life and Medical Insurance, Meal Vouchers, Travel Insurance
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.
Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.