AI Architect - Tietoevry Tech Services

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Tietoevry Tech Services is thrilled to embark on an exciting journey under new ownership. This change opens up new possibilities, challenges, and growth opportunities for our company and our employees. We are looking for talented people who want to join us on this exciting journey and help shape the digital landscape in the Nordics. 

We’re seeking an AI Architect who excels in building and deploying comprehensive AI solutions. In this role, you will combine full stack development, cloud-native architectures, advanced Generative AI technologies including Large Language Models (LLMs) and Agentic AI and robust data management and engineering skills to create production-ready systems. You will also play a key role in evaluating model performance and guiding best practices for transitioning prototypes into scalable solutions, while engaging with the developer community at a high level.

Key Responsibilities:

Full Stack Development & API Integration

• Develop and implement end-to-end architectures that integrate Generative AI models and Agentic AI systems with modern full stack applications.

• Design secure and scalable RESTful/GraphQL APIs to enable seamless interactions between AI services and user interfaces.

• Work closely with UI/UX designers and front-end developers (using frameworks such as React or Angular) to deliver cohesive, scalable solutions.

Cloud, Data, and DevOps Integration

• Architect and deploy solutions on leading cloud platforms (AWS, Azure, or GCP) ensuring high availability, scalability, and security.

• Design, build, and optimize robust data pipelines for efficient ingestion, transformation, and storage of large-scale datasets and ensure data quality and governance.

• Implement DevOps best practices (using Docker, Kubernetes, and CI/CD pipelines) to streamline the deployment and continuous delivery of AI models.

Generative AI, LLMs & Agentic AI

• Gen AI Solutions: Lead the design, training, fine-tuning, and deployment of Generative AI models (e.g., using OpenAI APIs, LangChain, Langgraph, Langfuse) to deliver innovative business solutions.

• Model Integration: Develop Retrieval-Augmented Generation (RAG) pipelines and AI agents that enhance user interactions and automate complex workflows.

• Evaluation & Monitoring: Establish comprehensive evaluation frameworks—including performance benchmarking, A/B testing, and continuous monitoring—to optimize and ensure the reliability, accuracy, and fairness of AI models.

• Monitoring & Optimization: Implement MLOps and LLMOps best practices—including CI/CD, containerization (Docker/Kubernetes), and observability tools—to ensure AI models perform reliably in production.

Developer Community & Strategic Collaboration

• Represent our AI initiatives at a high level through presentations, technical documentation, and participation in developer events.

• Collaborate with data scientists, product managers, and cloud engineers to align AI strategies with business objectives.

• Champion the adoption of coding standards, efficient workflows, and ethical AI practices across teams.

• Stay updated on the latest trends in Gen AI and full stack development, and share insights internally to drive continuous improvement.

• Ensure that all solutions adhere to data security, privacy regulations (e.g., GDPR), and ethical AI practices.

Required Qualifications:

• Experience: 8+ years in software development with a strong focus on full stack engineering and at least 3+ years in cloud-based AI solutions.

• Technical Expertise:

  • Proficiency in Python, JavaScript/TypeScript, and modern development frameworks.

  • Solid experience with cloud platforms (Azure, AWS or GCP) and container orchestration (Docker, Kubernetes).

  • Proven ability to develop, deploy, and productionise LLMs and Agentic AI systems including hands-on experience with RAG pipelines.

  • Strong API development skills (RESTful/GraphQL) and full stack application architecture.

• Data Skills: Demonstrable experience in developing data pipelines, managing large datasets, and integrating SQL/NoSQL databases with a focus on data quality and governance.

• Communication: Excellent verbal and written communication skills in both Finnish and English, with the ability to clearly articulate technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Certifications: Relevant cloud certifications e.g., AWS Certified Solutions Architect, Azure AI Engineer and AI/ML credentials would be greatly valued.

• Advanced Technologies: Experience with emerging Gen AI trends, prompt engineering, and AI agent development.

• Industry Exposure: Prior experience in industries such as finance, manufacturing, or telecom is a plus.

• Agile Methodologies: Familiarity with agile practices and DevOps toolchains to foster continuous integration and delivery.

What’s in it for you?

We offer you professional growth, meaningful projects with the latest technologies, open culture, and an outstanding work-life balance! We offer you an opportunity to create the future of a growing and fast developing and important sector. We believe that our organizational culture is an important part of enabling you to be successful. We provide a flexible hybrid work model as part of our culture and way of working. Finally, we also strongly believe in curiosity and learning as a lifestyle where you need to unlearn and relearn every day as new opportunities emerge.

Join us and make your mark!

We look forward to your application! Please attach your CV or LinkedIn-profile and we’ll reach out to you. Interviews will be held on a continuous basis, so we encourage you to apply today. If you have any questions regarding this role, please contact hiring manager Juha Anttila via e-mail juha.d.anttila@tietoevry.com 

Hope to hear from you soon!

#LI-Hybrid

At Tietoevry, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Diversity, equity and inclusion (tietoevry.com)