Genai solution architect

Talent.com – Utrecht (3500)

Contract: PermanentUren: Salaris:

Job description

Help design, build and continuously improve the clients online platform.
Research, suggest and implement new technology solutions following best practices/standards.
Take responsibility for the resiliency and availability of different products.
Be a productive member of the team.

Requirements

The GenAI Solution Architect will lead the design, architecture, and implementation of next-generation Generative AI solutions within the Contact Center, AI, and CRM domain, with a strong focus on enhancing enterprise chatbot capabilities.
Responsible for modernizing the AI platform to improve scalability while incorporating emerging technologies such as Voice AI, multi-turn conversations, conversational memory, agent evaluation, MCP servers, and Agentic AI to deliver superior customer experiences.
This position plays a key role in defining the future AI architecture by collaborating with business and technology teams to deliver secure, scalable, high-performing, and enterprise-ready solutions aligned with organizational objectives.
Design and implement scalable GenAI solutions for Contact Center and CRM platforms.
Define the target architecture for enterprise chatbot platforms and AI services, ensuring scalability, resilience, security, and maintainability.
Continuously monitor advancements in Generative AI, evaluating emerging technologies, industry trends, and innovative capabilities to drive platform evolution.
Translate business requirements into robust technical architectures aligned with enterprise architecture standards and best practices.
Own the quality and technical integrity of solution designs throughout the delivery lifecycle.
Ensure solutions meet enterprise requirements for performance, availability, scalability, security, privacy, integrity, accessibility, and operational excellence.
Drive the adoption of emerging AI capabilities, including Voice AI, Agentic AI, conversational memory, multi-turn dialogue management, MCP servers, and intelligent agent evaluation.
Collaborate with business stakeholders, architects, product owners, and engineering teams to gather functional and technical requirements.
Promote reusable AI capabilities and architectural standards across squads and business domains.
Support enterprise integration through APIs, web services, event-driven architectures, and modern integration frameworks.
Contribute to architecture governance, technical roadmaps, and long-term AI platform strategy.
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related discipline.
Strong experience designing and implementing Generative AI solutions and enterprise AI platforms.
Knowledge of Contact Center and CRM ecosystems, including technologies such as Genesys Cloud, Salesforce CRM, Microsoft Dynamics CRM, Azure, and AWS.
Experience with enterprise architecture frameworks and methodologies such as TOGAF, ArchiMate, or DYA.
Strong understanding of Large Language Models (LLMs), conversational AI, Retrieval-Augmented Generation (RAG), prompt engineering, and Agentic AI concepts.
Experience integrating AI solutions through REST APIs, web services, event streaming platforms, and distributed architectures.
Familiarity with Agile and Scrum delivery methodologies.
Excellent analytical and problem-solving skills with the ability to design innovative enterprise solutions.
Strong communication, stakeholder management, and technical leadership capabilities.
Ability to influence architectural decisions and effectively communicate technical concepts to both business and technical audiences.
Professional proficiency in English; Dutch language skills are considered an advantage.
Ability to collaborate with teams based in the Netherlands, including participation in on-site meetings when required.
Strategic thinker with a passion for innovation and enterprise AI transformation.
Strong customer focus with the ability to balance business needs and technical excellence.
Independent, proactive, and capable of driving architectural initiatives with minimal supervision.
Collaborative leader who thrives in cross-functional Agile environments.
Committed to continuous learning and staying at the forefront of Generative AI technologies and industry best practices.

Benefits

A challenging, innovating environment.
Opportunities for learning where needed.