Senior AI Engineer

• Design, develop, deploy, and support AI, machine learning, and generative AI solutions.

• Build and integrate LLM-powered applications into enterprise workflows.

• Develop scalable APIs and AI services, from prototype through to production.

• Collaborate with data scientists to operationalize machine learning, NLP, and AI models.

• Build evaluation, orchestration, and retrieval pipelines to support AI solutions.

• Support data preparation, model optimization, and performance improvement initiatives.

• Implement model monitoring, versioning, experiment tracking, and performance management.

• Establish processes to detect model drift and maintain production reliability.

• Promote responsible AI practices, including explainability, governance, and risk mitigation.

• Partner with product, engineering, platform, security, and business teams to deliver scalable AI solutions.

• Translate business requirements into practical technical solutions.

• Contribute to engineering best practices, knowledge sharing, and mentoring within the team.

• Bachelor's or Master's degree in Computer Science , Artificial Intelligence, Data Science, Software Engineering, or a related discipline.

• Proven experience delivering AI, ML, or software engineering solutions in production environments.

• Strong Python programming skills.

• Experience with data processing and analytics tools such as SQL, Pandas, and NumPy.

• Knowledge of software development best practices, Git, and version control.

• Experience developing and deploying AI services using FastAPI , Flask, MLflow , or similar technologies.

• Hands-on experience building LLM applications using LangChain , LlamaIndex , or equivalent frameworks.

• Experience integrating foundation model APIs such as OpenAI, Anthropic, Cohere, or Mistral.

• Understanding of machine learning concepts, model deployment, and operationalization.

• Experience with vector or graph databases (e.g., FAISS, Pinecone, Weaviate , Neo4j).

• Strong communication, stakeholder engagement, and collaboration skills.

• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch .

• Understanding of deep learning, transformers, and foundation models.

• Knowledge of NLP concepts, including embeddings, RAG, and language models.

• Exposure to computer vision applications.

• Experience with prompt engineering, model fine-tuning, and evaluation techniques.

• Familiarity with MLOps practices, including model monitoring, governance, and deployment.

• Experience managing model performance, drift detection, and observability.

• Knowledge of Responsible AI and AI governance principles.

• Experience working with Azure cloud platforms and enterprise-scale AI solutions.

• Experience within Oil & Gas, Energy, Trading, Shipping, ETRM, or other complex industrial environments.

• Experience delivering digital products within highly regulated enterprise environments where security, resilience, governance, and compliance are critical.

• A strong delivery mindset with the ability to balance innovation, speed, and scalability.

• Exceptional problem-solving and analytical skills, with the ability to evaluate multiple technical approaches and identify fit-for-purpose solutions.

• Experience translating complex business challenges into practical AI solutions.

• collaborative approach and the ability to work effectively across multidisciplinary teams.

• Passion for emerging AI technologies and their application to real-world business problems.

• Commitment to high engineering standards, quality, security, and responsible AI practices.

• Strong communication and influencing skills, with the ability to engage both technical and non-technical stakeholders.

• continuous improvement mindset and a desire to share knowledge, mentor others, and contribute to team success.

After you submit your application, you will receive an email providing a link to an online assessment that is a mandatory part of the process and has a validity period. The email will come from Shell (HireVue) - please check your spam/junk mailbox if you do not see the email.

You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You'll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You'll be able to balance your priorities as you become the best version of yourself.

• Progress as a person as we work on the energy transition together.

• Continuously grow the transferable skills you need to get ahead.

• Work at the forefront of technology, trends, and practices.

• Collaborate with experienced colleagues with unique expertise.

• Achieve your balance in a values-led culture that encourages you to be the best version of yourself.

• Benefit from flexible working hours, and the possibility of remote/mobile working.

• Perform at your best with a competitive starting salary and annual performance related salary increase - our pay and benefits packages are considered to be among the best in the world.

• Take advantage of paid parental leave, including for non-birthing parents.

• Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.

• Grow as you progress through diverse career opportunities in national and

• international teams.

• Gain access to a wide range of training and development programmes.

We'd like you to know that Shell has a bold goal: to become one of the world's most diverse and inclusive companies. You can get to know more about how we're working towards that goal,