Principal Generative AI Engineer

Role & responsibilities

• Identify client challenges and propose innovative AI/GenAI solutions, primarily leveraging Azure and OpenAI capabilities.
• Conduct functional and process design, prototyping, testing, training, and establish robust support procedures in partnership with data engineering and leadership teams.
• Design, build, and fine-tune generative AI models across applications such as NLP, computer vision, and other advanced analytics scenarios.
• Fine-tune and optimize large language models and open-source pre-trained transformers utilizing cloud and distributed computing environments.
• Collaborate closely with software engineering teams to integrate AI models effectively into existing products, services, and platforms.
• Develop robust APIs and scalable interfaces to ensure seamless deployment and operation of generative AI solutions.
• Provide technical and managerial leadership to a team dedicated to delivering AI solutions and product development.
• Partner with external institutions, research centers, and universities to explore and implement groundbreaking AI research initiatives.
• Ensure all AI solutions adhere to data privacy regulations, ethical standards, and compliance requirements.
• Stay current with emerging trends, tools, and best practices in machine learning and generative AI.

Preferred candidate profile

Mandatory:

• 6+ years of professional experience in AI, ML, Deep Learning, or related fields.
• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or related disciplines (Ph.D. preferred).
• Proven expertise in generative AI models, including large language models and frameworks such as OpenAI.
• Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Deep understanding of transformer architectures, attention mechanisms, and neural network design.
• Advanced knowledge of statistical modeling, algorithmic techniques, linear algebra, and probability theory.
• Hands-on experience processing and managing large-scale datasets with efficient coding practices.
• Demonstrated capability in program leadership, governance, and facilitating change management.

Desirable:

• Experience with Azure Data & AI services.
• Familiarity with MLOps tools (MLFlow, Azure MLOps).
• Ability to creatively solve complex problems under resource constraints.
• Exceptional verbal and written communication skills, with the ability to effectively engage C-Level executives.