AI Engineering Lead -N

Job description

Key Responsibilities • Define system architecture for multimodal document processing, OCR, LMMs, and data pipelines. • Design modular, pluggable OCR evaluation platform (Tesseract, Textract, DocAI, GPT-Vision, LayoutLM, Donut, etc.). • Architect preprocessing (OpenCV), post-processing, normalization, and document understanding layers. • Lead design of routing engines, ensemble logic, and feedback fine-tuning loops. • Oversee data lake, vector index, and metadata storage design. • Guide cloud infrastructure (AWS/Azure/GCP) for scalable processing of millions of documents. • Partner with leadership on roadmap, cost optimization, and vendor evaluations. Qualifications • 5+ years overall IT experience across Data Engineering, Data Science and Gen-AI. Of this atleast 1+ year experience with data engineering and 1+ year experience on Gen-AI in production environments. • Gen-AI expertise : Should have designed and developed Gen-AI applications. This should include building and deploying Agentic solutions and development of MCPs or integration of the AI components with IT applications in a production environment. Production environment meaning having experience of live usage of AI solutions and the associated tuning/improvement, change management and evaluation. • Data engineering expertise: Working with databricks based solutions and exposure to Airflow preferred. • Domain experience : Working with capital markets or wealth management industry employer/client preferred. There are multiple openings for this role. Atleast some of the team members should bring the preferred Data engineering and domain experience.