Senior AI Engineer: Lead End-to-End AI & MLOps

Capgemini; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

Capgemini Engineering is seeking AI Engineers to scale Data & AI capabilities for Nordic clients across automotive, manufacturing, life sciences, defence and retail. You will deliver value to clients through senior-level assignments, contribute to solution design and presales activities.

You will lead client projects, design end-to-end AI solutions, and advance MLOps and governance for Generative AI, LLM, and RAG workflows.

Qualifications

• Master’s degree in Computer Science, Physics, Mathematics, Biology, Engineering, or a related field.
• 5+ years of relevant industry experience.
• Strong programming and analytics expertise in Python, R, C++, and statistical data analysis.
• Hands-on experience with SQL, Elasticsearch, Databricks, Snowflake, and large-scale data pipelines using Spark, PySpark, Kafka, and Hadoop.
• Proficiency with ML and AI technologies, including PyTorch, TensorFlow, Scikit-learn, AWS, Azure, Google Cloud, and agentic AI frameworks such as LangChain, AutoGen, and OpenAI Agents SDK.
• Deep understanding of LLMs, prompt engineering, RAG, MCP-based agentic workflows, ETL processes on cloud platforms, and collaboration with external technology stakeholders.
• Flexibility to adapt in high-paced environments and ability to lead own tasks and coordinate others.
• Excellent English communication skills, both writing and speaking.

Responsibilities

• Lead client projects and provide technical expertise.
• Support presales and solution architecture discussions.
• Represent the organization as a thought leader in Data, AI & ML.
• Collaborate across engineering domains to implement data-driven optimizations.
• Design and own end-to-end AI solutions, from data pipelines to deployment, monitoring, and governance.
• Build and evolve MLOps and CI/CD capabilities for automated model deployment and lifecycle management.
• Define architecture standards and security controls for Generative AI, LLM, and RAG solutions.

Skills

Python

R

C++

statistical data analysis

Education

Master’s degree in Computer Science, Physics, Mathematics, Biology, Engineering, or a related field

Tools

SQL

Elasticsearch

Databricks

Snowflake

Spark / PySpark

Kafka

Hadoop

PyTorch

TensorFlow

Scikit-learn

AWS

Azure

Google Cloud

LangChain

AutoGen

OpenAI Agents SDK

Job description

Capgemini Engineering is seeking AI Engineers to scale Data & AI capabilities for Nordic clients across automotive, manufacturing, life sciences, defence and retail. You will deliver value to clients through senior-level assignments, contribute to solution design and presales activities.

You will lead client projects, design end-to-end AI solutions, and advance MLOps and governance for Generative AI, LLM, and RAG workflows.