Overview
Would you like to shape the future of energy technology? Do you enjoy being part of a successful team? Join our innovating Artificial Intelligence Team. We design, build, and operate AI services that support critical business processes, including real‑time decisioning, document understanding, predictive maintenance, computer vision, and Generative AI solutions. Our focus is on enabling reliable, scalable, and cost‑effective AI services that meet enterprise‑grade operational standards.
Responsibilities
- Executing and leading the evaluation, design, analysis, testing, and integration of complex AI model serving solutions.
- Designing and reviewing serving architectures across multiple services, applying system‑ and service‑level engineering practices.
- Driving adoption of controlled rollout and rollback patterns to ensure safe and predictable production changes.
- Ensuring serving solutions meet performance, scalability, cost, and reliability expectations through proactive design and review.
- Leading or participating in cross‑team design and architecture reviews, ensuring consistency with serving and reliability standards.
- Providing technical leadership and mentorship to engineers across teams, promoting best practices in model serving.
- Collaborating with Platform & MLOps, Reliability & Support, Security, Data, and Product teams to resolve cross‑service challenges.
- Ensuring appropriate operational artifacts are in place, including documentation, runbooks, telemetry expectations, and integration guidance.
- Identifying systemic issues in serving solutions and driving improvements that raise the overall quality and reliability of AI services.
Qualifications
- Have a Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
- Have extensive experience delivering and operating production‑grade backend or AI‑enabled services.
- Have strong expertise in backend programming languages such as Python.
- Proven experience designing microservice‑based, cloud‑native architectures.
- Strong understanding of API design, versioning, and integration patterns.
- Hands‑on experience with cloud platforms such as AWS.
- Have solid knowledge of CI/CD pipelines, containerization, and DevOps practices.
- Have experience conducting design reviews, mentoring engineers, and influencing technical direction.
- Be able to communicate complex technical topics clearly to both technical and non‑technical stakeholders.
- Have experience with real‑time AI inference, GenAI serving, and performance‑ and cost‑aware serving patterns is a strong advantage.
Benefits and Working Patterns
- Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
- Contemporary work‑life balance policies and wellbeing activities.
- Comprehensive private medical care options.
- Safety net of life insurance and disability programs.
- Tailored financial programs.
- Additional elected or voluntary benefits.
Salary
The initial pay range for this position will be EUR 51,200 to 70,400. The provisions of Contratto Collettivo Industria Metalmeccanica e della installazione di impianti will be applied to this position. Section VI – Titolo IV of that collective bargaining agreement relates to pay.
Internal Title
The Baker Hughes internal title for this role is: Senior Engineer, Mathematics & Data Science, Disciplinary Engineering and Science.
