Sr. AVP – AI Product Experience for Accounts Payable domain.
Noida, Gurgaon, Bangalore, Pune- Hybrid role
Fulltime role

We are seeking a seasoned Sr. AVP – AI Product Experience to own the design, build, and deployment of AI-powered product capabilities for the Accounts Payable domain .
The role demands deep technical grounding in Generative AI, Agentic AI, and LLM engineering, combined with strong product leadership to translate AP process complexity into scalable, intelligent software solutions. The incumbent will work closely with engineering, data science, and client-facing teams to define and ship world-class AI experiences on Client's Finance AI platform.

Education & Experience (14+ Years)
B.Tech or M.Tech in Computer Science, Software Engineering, Data Science, or related technical discipline.
14–16 years of total experience, with at least 6–8 years in AI/ML product engineering and 8+ years in Finance technology with deep AP/P2P domain ownership.
8+ years of hands-on experience in Generative AI and Large Language Models – finetuning LLMs, prompt engineering, and building with LLM orchestration frameworks (LangChain, LlamaIndex, RAGAS, LangGraph ).
Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) as evidenced by production deployments or public repositories.
Solid understanding of optimization techniques for training deep neural networks, regularization methods, and hyperparameter/fine-tuning for finance-specific models.
Strong experience in Agentic AI: Autonomous Agents, AutoGen, CrewAI, LangGraph workflow design; familiarity with AI Blueprints and Google AI Agents.




Experience in ML Engineering and MLOps, including MLflow, model versioning, drift monitoring, and retraining pipelines.
Proven ability to deliver complex AI products from ideation through production; track record of driving go-to-market for enterprise AI solutions.
Strong software engineering skills in Python, with experience building and integrating AI APIs, microservices, and cloud-native architectures.
Skills & Competencies
Deep functional knowledge of Accounts Payable: P2P lifecycle, ERP integrations (SAP S/4HANA, Oracle Fusion, Coupa, Ariba), invoice automation, and supplier management.
Experience with NLP and IDP techniques: OCR, entity extraction, document classification, and structured data extraction from unstructured AP documents.
Understanding of Graph Databases and Vector Databases (Pinecone, Weaviate, pgvector), and their application to AP knowledge retrieval and semantic search.
Experience with cloud AI services: AWS Bedrock / SageMaker, Azure OpenAI, GCP Vertex AI – for both model inferencing and fine-tuning.
Robust communication and stakeholder management skills; proven ability to present AI concepts and product roadmaps to C-suite audiences.
Experience participating in RFI/RFP responses, thought leadership, and business development in the AI/Finance technology space.
People leadership skills; candidate is hands-on technically while managing data scientists, ML engineers, and product managers.
Working knowledge of statistical and ML concepts: classification, regression, anomaly detection, and time-series analysis applied to finance data.

📌 Sr. AVP-AI Product Experience for Accounts Payable domain. (Kanpur)
🏢 Bot Tech
📍 Kanpur