AI Architect -10-15Yrs(Accounts,finance, invoice , banking domain)

Position Title: : AI Architect - Accounts Payable Automation Platform Location: Mangalore / Bangalore Budget :40LPA MAX About Role: We are looking for an AI Architect to define and lead the end-to-end AI architecture of our platform. You will be responsible for designing scalable, secure, and enterprise-grade AI systems using SAP AI Core, foundation models, and advanced MLOps practices. This is a hands-on leadership roleyou will drive architecture, guide engineering teams, and influence product strategy. Area of Expertise: Python, LLM, API, Prompt Engineering, RAG Architecture, AI ML, SAP AI Core Roles & Responsibilities: AI/ML Solution Development Design modular, reusable AI architecture across products Establish standards for o Model selection (classical ML vs LLM vs hybrid) o Accuracy benchmarks & KPIs o Cost vs performance trade-offs Define the AI vision and roadmap for AP Automation Product Establish multi-tenant, scalable AI service architecture Define how LLMs are used across the product: o Invoice understanding o Vendor communication copilots o Finance query assistants Design & Standardize o Prompt engineering frameworks o RAG (Retrieval-Augmented Generation) architectures o Guardrails (hallucination control, compliance, explainability) Evaluate SAP-native vs external foundation models Work with structured & unstructured financial data Define Enterprise grade Data pipelines for structured/unstructured data & Data labeling and feedback loops Establish MLOPs practice: CI/CD for models, Model versioning, monitoring, and drift detection Mentor AI Engineers, Data Engineers, and ML Ops teams Drive design reviews and architecture governance Qualification: Strong experience in: NLP, Classical ML + Deep Learning, LLM & Foundation models, Python (TensorFlow / PyTorch / Scikit-learn) & NLP and/or document AI Experience with: LLM APIs (OpenAI, Azure OpenAI, etc.), Prompt engineering, RAG architectures API development (FastAPI / Flask) Containerization (Docker, Kubernetes) Cloud platforms (AWS / Azure / GCP) Experience with OCR tools (Tesseract, Azure Form Recognizer, etc.) Experience: 10 to 15 Years (flexible based on depth in AI + SAP ecosystem) .