AI Engineer

As an AI Engineer, you will play a key role in designing, developing, and delivering innovative AI and data solutions for our clients. In this role, you may be expected to:

• Work closely with client stakeholders and Deloitte leadership to understand business challenges and contribute to the design and delivery of data and AI solutions that address their needs.
• Take ownership of the development and implementation of AI and machine learning models, data pipelines, and analytics solutions, ensuring they are robust, scalable, and aligned with best practices.
• Support the deployment and operationalisation of AI systems, focusing on performance, security, and compliance with relevant standards and regulations.
• Research, assess, and apply emerging technologies, tools, and frameworks to enhance solution effectiveness and drive continuous improvement.
• Collaborate with cross-functional teams, including solution architects, data scientists, engineers, and business analysts, to ensure successful project delivery and integration of AI solutions.
• Contribute to the mentoring and development of junior team members, promoting a culture of learning, innovation, and delivery excellence.

• Degree or equivalent in Computer Science, Data Engineering, Mathematics, Artificial Intelligence, or a related discipline; advanced degrees are welcome but not essential
• Strong technical background, with hands-on experience in developing and deploying AI and machine learning solutions in a business or research environment.
• Experience working on data-driven projects within regulated or data-rich industries (e.g., financial services, healthcare, public sector, or similar) is advantageous.
• Demonstrated ability to work collaboratively within multidisciplinary teams and to manage relationships with stakeholders.
• Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.

TECHNICAL PROFICIENCY

• Strong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python, R), with hands-on experience developing, training, and deploying machine learning models.
• Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.
• Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development, validation, and deployment to production environments.
• Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g., large language models, diffusion models, or generative adversarial networks).
• Experience building and deploying Generative AI solutions, including prompt engineering, fine-tuning, and evaluation of large language models (LLMs) or other generative architectures.
• Understanding of MLOps principles, including automated model training, CI/CD for ML, model versioning, monitoring, and retraining.
• Experience deploying AI and GenAI solutions on cloud platforms (AWS, Azure, GCP) and leveraging cloud-native AI/ML services and tools.
• Awareness of responsible AI and GenAI practices, including model interpretability, fairness, bias mitigation, and ethical considerations.
• Ability to communicate complex AI and GenAI concepts and results to both technical and non-technical stakeholders, adapting style and content as needed.
• Experience collaborating in agile, cross-functional teams, and supporting the professional development of junior engineers is highly valued.

Deloitte drives progress. Our firms around the world help our clients become market leaders wherever they compete. Deloitte invests in outstanding people with diverse talents and backgrounds, empowering them to achieve more than they can elsewhere. Our work combines consulting with action and integrity. We believe that when our clients and society are stronger, so are we.