
Chief AI Engineering Manager
3 days ago
We are seeking a seasoned expert to lead the development of cutting-edge GenAI applications.
The ideal candidate will have hands-on experience with LLM frameworks, intelligent pipeline architecture, and data engineering.
They will be responsible for designing and implementing solutions that integrate MDM platforms with AI/ML systems.
- Drive the development of enterprise-level GenAI applications using LLM frameworks such as Langchain , Autogen , and Hugging Face.
- Architect intelligent pipelines using PySpark , TensorFlow, and PyTorch within Databricks and AWS environments.
- Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions.
- Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems.
- Utilize SQL and Python for data engineering, data wrangling, and pipeline automation.
- Build scalable APIs and services to serve GenAI models in production.
- Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems.
- Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations.
To succeed in this role, you should have:
- A Master's degree with years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR
- Bachelor's degree with years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR
- Diploma with years of hands-on experience in Data Science, AI/ML technologies, or related technical domains
This is an exceptional opportunity to join our team and contribute to the development of innovative GenAI solutions.
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