AI Solution Architect IRC303080

GlobalLogic; Göteborgs kommun; On-site; SEK 1,000,000 - 1,400,000; Full time

Job summary

GlobalLogic is seeking a Senior AI Solution Architect & Data Scientist to lead the development of an AI-based Measurement Analytics Tool for vehicle telemetry and diagnostic logs. You will design a scalable ML pipeline, build an intelligent search, and produce automated reporting systems that aid software verification.

Responsibilities include end-to-end architecture, feature engineering, model development with time-series and NLP/LLMs, and delivering modular, deployable code with strong

Qualifications

• 5+ years of data science/AI system development experience with production-grade models.
• Proficiency in Python and its data science ecosystem; rapid UI prototyping.
• Hands-on experience with time-series analysis, clustering, and NLP/LLMs.

Responsibilities

• Lead end-to-end AI/ML architecture and data pipelines optimized for automotive datasets.
• Analyze and preprocess massive text and numerical telemetry streams to extract patterns.
• Develop and train advanced analytics models including time-series, clustering, and NLP/LLMs for diagnostics and reconstruction.
• Develop clean, modular code and intuitive interfaces or APIs for deployment within enterprise software.
• Mentor team members and coordinate with automotive domain experts to drive integration.

Skills

Python

ML pipelines

Time-series

NLP

Education

PhD or MSc in CS/DS/Engineering

Tools

Python ecosystem

LLMs

Job description

Description

We are seeking a Senior AI Solution Architect & Data Scientist to lead the development of our AI-based Measurement Analytics Tool. In this role, you will design and deliver a functional Proof of Concept (POC) that turns high-volume, multi-modal vehicle telemetry and diagnostic logs into actionable software verification insights. You will bridge the gap between complex engineering data and efficient troubleshooting by architecting modular ML pipelines, intelligent search engines, and automated reporting systems.

Requirements

• AI & Data Science Expertise: 5+ years of professional experience in data science, machine learning, or AI systems development, with a track record of building and deploying production-grade models.
• Core Technical Stack: Proficiency in Python and its standard data science ecosystem along with experience in rapid UI prototyping.
• Advanced ML & NLP Methods: Strong hands-on experience in time-series analysis, pattern matching, clustering techniques, and Retrieval-Augmented Generation (RAG) using Large Language Models (LLMs).
• Data Integration Skills: Experience handling large-scale, structured and unstructured datasets, with the ability to ingest, parse, and correlate complex text logs and numerical measurements.
• Automotive Domain Awareness: Familiarity with vehicle software verification processes, communication protocols (e.g., CAN, LIN), or diagnostic log structures is highly beneficial.
• Education: B.Sc., M.Sc., or Ph.D. in Computer Science, Data Science, Electrical/Software Engineering, or a related quantitative field.

Job responsibilities

• AI/ML Architecture & Pipeline Design: Lead the end-to-end design, scaling, and deployment of machine learning architectures and data-processing pipelines optimized for high-volume automotive datasets.
• Data Analysis & Feature Engineering: Analyze, preprocess, and structure massive, heterogeneous text-based and numerical telemetry streams (such as bus logs, sensor measurements, and diagnostic outputs) to extract meaningful patterns.
• Model Development & Core Analytics: Research, build, and train advanced analytical models—incorporating time-series pattern recognition, unsupervised clustering, and modern Natural Language Processing (NLP/LLM) techniques—to automate diagnostics and scenario reconstruction.
• Software Prototyping & Integration: Develop clean, maintainable, and well-documented modular code. Build intuitive user interfaces or APIs to package these analytical engines into high-performance, deployable tools within the enterprise software ecosystem.
• Technical Leadership & Collaboration: Act as the technical bridge between data science and automotive domain experts, mentoring team members, gathering engineering requirements, and steering code toward successful repository integration.

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.