Senior AI Engineer & Architect

Groupe SEGULA Technologies SA; Göteborgs kommun; On-site; SEK 564,972 - 847,458; Full time

Job summary

Groupe SEGULA Technologies SA is seeking a Senior AI Engineer & Architect in Göteborgs kommun, Sweden. The successful candidate will lead the development of production-grade AI solutions, focusing on architectural design and implementation for enterprise clients.

Responsibilities include designing robust AI systems, optimizing performance across models, and ensuring cost-effectiveness throughout the development lifecycle. Candidates should be skilled in machine learning and prompt engineering, and familiar with Azure and Databricks ecosystems.

Qualifications

• Experience in designing and implementing AI solutions.
• Strong knowledge of machine learning and data workflows in cloud environments.
• Ability to conduct prompt engineering and system optimizations.

Responsibilities

• Architect, build, and maintain production AI solutions.
• Design RAG architectures and optimize cloud workflows.
• Evaluate models to balance performance and operational metrics.

Skills

AI solution architecture

Machine learning models

Prompt engineering

Azure

Databricks

Job description

We partner with industry leaders to design, build, and deploy next-generation technology solutions. We are currently seeking a highly skilled Senior AI Engineer & Architect to join our consulting practice. In this role, you will lead the end-to-end development of production-grade AI solutions, architectural design, and implementation strategies for our diverse portfolio of enterprise clients.

The ideal candidate bridges the gap between deep technical implementation and strategic business value. You will be responsible for balancing performance and optimization across the full lifecycle—Development, Deployment, and Run phases—ensuring that cutting‑edge AI methodologies translate into scalable, cost‑conscious, and high‑impact business outcomes.

Key Responsibilities

• Architect, build, and maintain robust, end-to-end production AI solutions and machine learning models.
• Design and implement sophisticated Retrieval‑Augmented Generation (RAG) architectures, utilizing advanced chunking strategies and embeddings across OpenAI, Databricks, and open‑source models.
• Develop agentic systems and multi‑agent designs, including the orchestration of routing mechanism frameworks, state memory management, tool integration, and agent‑to‑agent communication networks.
• Execute systematic model selection strategies, evaluating the trade‑offs between proprietary models (e.g., GPT) and open‑source models to optimize performance against financial and operational metrics.
• Conduct advanced prompt engineering and system prompt optimization to guide model behavior and guarantee strict output validation.
• Design, optimize, and operate cloud functions and serverless data workflows within Azure and Databricks ecosystems.
• Maintain a rigorous framework of cost consciousness across the entire development pipeline, continuously evaluating Dev, Deploy, and Run costs against realized business value.