Position Title : AI Architect - Accounts Payable Automation Platform

Location : Mangalore / Bangalore

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 and Responsibilities :

AI/ML Solution Development :

- Design modular, reusable AI architecture across products

- Establish standards for :

1. Model selection (classical ML vs LLM vs hybrid)

2. Accuracy benchmarks and KPIs

3. 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 :

1. Invoice understanding

2. Vendor communication copilots

3. Finance query assistants

Design and Standardize :

- Prompt engineering frameworks

- RAG (Retrieval-Augmented Generation) architectures

- 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) and 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)