Lead Generative AI Engineer
Job Summary
Lead Generative AI Specialist
Are you a highly motivated creative individual and passionate about sales and proposals
Would you like to be a part of successful team
Join our team!
Are you passionate about building productiongrade AI systems that deliver real business value Do you enjoy designing scalable platforms deploying large language models and operating AI services reliably in enterprise environments Join our Digital Technology Team and help power the next generation of AIdriven energy solutions.
Our team develops industryleading products and services that optimize energy production and this role you will focus on handson generative AI engineering working across model integration AI platforms and MLOps to operationalize largescale AI solutions that are secure scalable and performant.
Partner with the best
As a Generative AI Specialist you will be embedded in crossfunctional delivery teams building deploying and operating generative AI services in a commercial and industrial context. You will work endtoend across the AI lifecyclefrom model onboarding and finetuning to inference optimization monitoring and continuous improvement.
As a Lead Generative AI Specialist you will be responsible for:
- Engineering and deploying productionready generative AI solutions including LLMs VLMs and multimodal models with a strong emphasis on inference scalability and reliability.
- Designing and operating LLM Ops pipelines including model versioning finetuning evaluation deployment rollback and lifecycle management.
- Building and maintaining AI platforms and services that support prompt management embeddings vector search retrievalaugmented generation (RAG) and toolcalling workflows.
- Integrating generative AI capabilities into enterprise applications using APIs microservices and eventdriven architectures.
- Implementing MLOps best practices including CI/CD for models automated testing performance benchmarking observability logging and cost monitoring.
- Optimizing model performance across latency throughput accuracy and cost using techniques such as quantization catching batching and model routing.
- Collaborating with cloud data security and product teams to ensure solutions meet enterprise standards for security governance and responsible AI.
- Producing clear technical documentation and operational runbooks and communicating delivery status and business value to stakeholders.
- Mentoring engineers and contributing to reusable frameworks standards and platform capabilities.
Fuel Your Passion
To be successful in this role you will have:
- A masters degree in computer science AI Machine Learning or a related field or equivalent handson industry experience.
- PhD is a plus but strong delivery experience is preferred.
- Proven experience deploying and operating generative AI models in production rather than only research or experimentation.
- Strong proficiency in Python with practical experience using PyTorch TensorFlow Hugging Face and transformerbased architectures.
- Experience with AI platform and MLOps tooling such as model registries experiment tracking orchestration CI/CD pipelines and monitoring solutions.
- Solid understanding of cloudnative architectures containers and scalable inference patterns (e.g. Kubernetesbased deployments).
- Handson experience with RAG systems vector databases embeddings prompt optimization and evaluation frameworks.
- Strong software engineering discipline including testing code reviews documentation and production support.
- Excellent problemsolving collaboration and communication skills with the ability to work effectively across engineering and business teams.
- A deliveryfocused mindset comfortable-owning systems in production and continuously improving them.
Work in a way that works for you
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too.
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
Working with us
Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce train and reward talent and develop leaders at all levels to bring out the best in each other.
Working for you
Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us and you can expect.
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
The Baker Hughes internal title for this role is: Lead Engineer Mathematics & Data Science Disciplinary Engineering and ScienceRequired Experience:
IC
About Company
Baker Hughes (NYSE: BKR) is an energy technology company that provides solutions for energy and industrial customers worldwide. Built on a century of experience and with operations in over 120 countries, our innovative technologies and services are taking energy forward – making it sa ... View more