We are seeking a highly skilled and experienced Principal AI Solution Architect to lead the design and development of enterprise-level AI solutions. The ideal candidate will provide thought leadership and drive AI and GenAI solutions, particularly in collaboration with the Master Data Management ( MDM ) Center of Excellence ( CoE ). This role requires extensive hands-on experience in AI / ML , data science, and GenAI technologies, along with knowledge of MDM to ensure the scalability, reliability, and performance of our solutions.
Roles & Responsibilities
- AI Architecture & Solutioning : Lead the design and development of enterprise-level GenAI applications using frameworks like Langchain, Autogen , and Hugging Face . You will architect intelligent data pipelines using PySpark, TensorFlow , and PyTorch within Databricks and AWS environments.
- Data Integration & Engineering : Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. You will utilize SQL and Python for data engineering, data wrangling, and pipeline automation.
- GenAI Implementation : Implement embedding models and manage VectorStores for Retrieval-Augmented Generation (RAG) solutions. You will also build scalable APIs and services to serve GenAI models in production.
- Leadership & Collaboration : Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI -powered systems. You will also provide thought leadership and mentorship to junior team members.
- Governance & Compliance : Ensure model governance, version control, and auditability are aligned with regulatory and compliance expectations.
Technical Skills
Extensive hands-on experience (14+ years) in AI / ML or Data Science, including designing and implementing GenAI solutions.Expertise in AI / ML solution architecture and design, with a strong knowledge of industry best practices.Hands-on experience with Python, PySpark, PyTorch, LLMs, Vector DB, Embeddings, Langchain, Autogen , and frameworks like TensorFlow .Experience designing GenAI -based solutions using the Databricks platform.Strong knowledge of AWS and cloud-based AI infrastructure.Prior experience in Data Modeling, ETL development, and data profiling to support AI / ML workflows is a plus.Proficiency in tools like JIRA and Confluence for Agile delivery is a plus.AWS or Azure certifications, and Data Science and ML certifications are preferred.Qualifications
A Master's degree with 11-14 years of experience, a Bachelor's degree with 15-16 years of experience, or a Diploma with 17-18 years of hands-on experience in Data Science, AI / ML technologies, or related technical domains.Soft Skills
Leadership : Strong communication and leadership skills, with a proven ability to manage and mentor junior team members.Problem-Solving : Excellent problem-solving skills and strong analytical abilities.Collaboration : The ability to collaborate effectively with cross-functional teams and stakeholders.Communication : Excellent verbal and written communication skills, with the ability to convey complex data concepts to technical and non-technical stakeholders.Skills Required
Solution Architecture, Pyspark, Tensorflow, Pytorch, Databricks