Principal AI Engineer
Fa Errt Saasfaprod1 Open · verified Oct 22, 2026 At a glance
Senior AI Engineering role at Fa Errt Saasfaprod1. Paris · no salary stated · we estimate €63,641–€92,517 across France.
Fa Errt Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch AI and advanced analytics products for important P&C business problems
- Take machine learning, generative AI and data science work from early trials through production
- Turn needs from business, product and technology teams into dependable, scalable solutions
- Set engineering practices for model development, MLOps, testing and AI product lifecycle work
- Coach data scientists and machine learning engineers through technical advice, mentoring and peer reviews
What you bring
- At least eight years building and launching AI, machine learning or advanced analytics in production
- Strong Python skills, including object-oriented development and API work, with FastAPI or similar frameworks
- Hands-on experience evaluating models, checking interpretability, and reducing bias and other model limitations
- Experience delivering AI on cloud platforms, with Microsoft Azure preferred
- A master's degree in a quantitative discipline such as computer science, engineering or actuarial science
Who this fits
This senior, hands-on technical leadership role suits someone who can guide colleagues while remaining accountable for production AI quality. You’ll work across business, product and technology teams and help ensure solutions meet reliability, governance and responsible AI standards. The role is based in Paris, France.
From the employer
Working closely with business stakeholders and product teams, the Principal AI Engineer provides hands-on technical leadership and is accountable for the technical quality of assigned AI initiatives while promoting technical excellence, best practices, and innovation across the organization.
Design, develop, and deploy AI and advanced analytics products that address high-value business challenges across the P&C business.
Drive the end-to-end implementation of machine learning, generative AI, and data science solutions from experimentation to production.
Collaborate with business, product, and technology stakeholders to translate requirements into robust and scalable solutions.
Apply and promote best practices in model development, software engineering, MLOps, testing, and AI product lifecycle management.
Provide technical guidance, mentoring, and peer reviews to Data Scientists and Machine Learning Engineers, helping raise engineering and modelling standards across the team.
Contribute technical expertise to complex initiatives and support innovation through experimentation with emerging AI technologies.
Ensure solutions meet performance, reliability, governance, and responsible AI standards.
Experience and Skills
- At least 8 years of experience designing, developing and deploying AI, machine learning and advanced analytics solutions in production environments.
- Strong expertise in machine learning, generative AI, statistical modelling and software engineering.
- Proven experience developing and maintaining production-grade AI products, applications and services.
- Advanced experience in model validation, performance evaluation, interpretability, and the identification and mitigation of model limitations and bias.
- Strong programming skills in Python, including object-oriented programming, API development and frameworks such as FastAPI.
- Experience building AI solutions on cloud platforms, preferably Microsoft Azure.
- Strong understanding of AI industrialization practices, including MLOps, model packaging, CI/CD, testing, deployment and monitoring.
- Experience with cloud-native technologies, including Kubernetes, PostgreSQL, and cloud storage services.
- Ability to solve complex technical problems and deliver robust, scalable and maintainable solutions from concept to production.
- Strong communication and collaboration skills and ability to work effectively in multidisciplinary teams.
- Experience with Databricks and Palantir Foundry is a strong plus.
Education
- Master’s degree in Science, Technology, Engineering, Mathematics, Computer Science, Actuarial Science or similar quantitative field