Principal AI Architect
About the Position
DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value. We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally. We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth. Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career. We are seeking a professional with a deep understanding of AI technologies and hands-on experience with generative AI, large language models (LLMs), LangChain frameworks, cloud services, and MLops, including model training and deployment practices.
Responsibilities
- Strategically lead and advise on AI initiatives, ensuring alignment with the AI Lab and overall company objectives
- Work alongside diverse client teams to assess business requirements and design tailored AI solutions that integrate generative AI, LLMs, and MLops practices
- Present recommendations and proposals to current and prospective AI clients by showcasing innovative offerings and business value
- Lead and develop the Proof of Concepts (POCs) and Accelerator projects, incorporating advanced cloud integration and generative AI technologies
- Stay up to date on industry trends and advancements, fostering a culture of continuous learning and innovation within the team, and disseminating relevant insights to clients and internal groups
Requirements
- Minimum of 4 years of practical experience in the implementation and leadership of AI/ML projects
- Practical experience in AI roles such as Consultant or AI Solution Architect
- Master’s/Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field
- Demonstrable hands-on experience implementing AI/ML solutions in a business context
- Proven experience with at least one major cloud platform (AWS, GCP, or Azure)
- Expertise in Generative AI/LLMs; candidates should be comfortable working with modern frameworks and tools such as LangChain
- A solid understanding of MLOps practices, including setting up model training pipelines, continuous integration/deployment, and monitoring ML models
- Strong communication and leadership skills to collaborate with cross-functional teams, present proposals, and manage stakeholder expectations
