Tech Stack
AzureCloudCyber SecurityDockerPython
About the role
- Lead the development and deployment of Generative AI solutions, leveraging tools like Azure OpenAI, vector databases, and related technologies
- Manage and mentor a small team within the Generative AI Center of Excellence, fostering collaboration and innovation
- Collaborate with business units to understand their needs and translate them into AI-driven solutions that add measurable value
- Develop and implement governance policies to ensure responsible and ethical use of Generative AI technologies
- Monitor advancements in Generative AI, identifying opportunities for the organization to stay at the forefront of innovation
- Advocate for best practices in data preparation, vectorization, and AI model training to enhance solution accuracy and scalability
- Provide strategic guidance and act as a subject matter expert on Generative AI to both technical and non-technical stakeholders
Requirements
- Master’s degree in Engineering, Computer Science, or a related field (advanced degrees preferred)
- Fluent in English, with excellent verbal and written communication skills
- Spanish is a nice to have
- Minimum of 6 years of professional experience, including significant hands-on experience in Generative AI technologies and frameworks (e.g., OpenAI, Hugging Face, LangChain)
- Experience with Azure OpenAI and vector databases
- Proficiency in Python, Docker, Git, CI/CD methodologies
- Proven ability to design, build, and optimize AI solutions using techniques to improve GenAI accuracy and performance
- Strong leadership skills with experience managing or mentoring technical teams
- Deep understanding of governance, ethical considerations, and risk management for AI applications
- Familiarity with integrating AI solutions into enterprise systems and workflows
- Proactive problem-solving skills and a passion for driving business transformation through AI