Lead GenAI Solutions Architect

AI in this role

Design and guide enterprise-grade AI solution architectures and experimentation at Marsh's technology hub.

solutions-architectureenterprise-architectureai-solutionsgovernance

Company:

Marsh

Description:

Marsh Management Consulting

The Role

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.

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.

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 Romanian;
Extensive experience designing and communicating solution architectures for enterprise systems;
Proven ability to translate requirements into clear architectural designs and decision records;
Experience evaluating emerging AI tools or platforms and influencing their adoption through evidence-based architectural recommendations;
Strong experience working with Agile delivery teams and operating in fast-paced, evolving environments;
Ability to work effectively with both technical and non-technical stakeholders across levels of seniority;
A self-directed mindset with the ability to operate independently while collaborating across teams.

Technical experience

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)

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 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.

How we rate this

Lead GenAI Solutions Architect at Marsh McLennan rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Solutions ArchitectureEnterprise ArchitectureAI SolutionsGovernance

Questions you could be asked

Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where enterprise architecture was part of your work. What did you do?
Tell me about a project where ai solutions was part of your work. What did you do?
Tell me about a project where governance was part of your work. What did you do?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: Solutions Architecture, Enterprise Architecture, AI Solutions, and Governance. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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