About the Role"

We are looking for a skilled AI Architect with expertise in Deep GenAI, Agentic AI, Python, and ML to join our team. The ideal candidate will have experience in AI application development, document processing pipelines, cloud services, MLOps, data architecture, and AI strategy.

"Job Title"

AI Architect

"Responsibilities"

- Utilize Deep GenAI and Agentic AI experience, especially in RAG, GraphRAG, Knowledge Graphs, and semantic search.
- Develop multi-agent orchestration, tool use, memory, and human-in-the-loop capabilities.
- Engage in full-stack AI application development with APIs, backend, and production deployments using Python.
- Build document ingestion and intelligent document processing pipelines.
- Apply ML background in forecasting, prediction, anomaly detection, and fraud/analytics use cases.
- Work hands-on with Azure, GCP, and ideally AWS, including AI/ML services and Kubernetes.
- Implement MLOps/LLMOps practices for model lifecycle, monitoring, governance, explainability, and production readiness.
- Demonstrate strong data architecture skills in large-scale pipelines, complex schemas, event-driven systems, APIs, and high-volume processing.
- Define AI strategy, roadmaps, reference architectures, standards, and best practices.




- Collaborate with business leaders and executives, mentor engineers, and contribute to technical design.
- Take ownership of work end-to-end with minimal supervision.
- Preferably have experience in finance/banking or regulated environments.
- Exhibit strong communication, stakeholder management, and cross-functional leadership skills.

"Required Skills"
- Deep GenAI and Agentic AI experience.
- Strong Python skills for AI application development.
- Experience in building document processing pipelines.
- Proficiency in ML for forecasting, prediction, anomaly detection, and fraud/analytics.
- Hands-on experience with Azure, GCP, and ideally AWS.
- Knowledge of MLOps practices and model lifecycle.
- Solid data architecture skills for large-scale pipelines and event-driven systems.
- Ability to define AI strategy, roadmaps, and best practices.
- Excellent communication and stakeholder management skills.

"Desirable Skills"
- Experience in finance/banking or regulated environments.

"Education Qualification"
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.

📌 Forward Deployed Engineer (FDE) (Bengaluru)
🏢 Ascendion
📍 Bengaluru