HamburgerMenu
hirist

Senzcraft - AI Lead/Solution Architect - Design & Process Automation/Digitization

SENZCRAFT TECHNOLOGIES PRIVATE LIMITED
Bangalore
8 - 12 Years

Posted on: 11/03/2026

Job Description

About the Role (AI Solution Architect) :

We are seeking a AI Solution Architect with 8+ years of experience and with strong expertise in Technical Solution Design and Process Automation/Digitization using Gen AI (Agentic, RAG, Multi-modal)

The ideal candidate will own and lead team to design, develop, and deploy AI-driven applications leveraging LLMs, Vector Databases, and GenAI frameworks to solve complex real-world problems.

Key Responsibilities :

- Work with global clients to review AS IS process, design new process with AI


- Propose technical architecture, solution landscape, integration touchpoints


- Design and implement Agentic AI workflows using LangChain and LangGraph for intelligent automation and reasoning-based solutions.


- Develop scalable GenAI-powered APIs and microservices using Python and FastAPI.


- Design and implement RAG-based solutions for client.


- Collaborate with cross-functional teams to deliver production-grade GenAI solutions with high performance and reliability.


- Apply AI Ops practices (LangFuse, Docker, Jenkins, Groovy) for deployment, monitoring, and CI/CD.

Required Skills & Experience :

- 10+ years of professional experience in AI/ML or GenAI development.


- Understanding of IT Architecture & Solution Design


- Deep understanding of process study and new process design using AI


- Hands-on experience with LangChain and LangGraph for Agentic solution design.


- Experience working with Vector Databases (FAISS, Pinecone, Weaviate, or MongoDB).


- Familiarity with LLMs (OpenAI, Azure OpenAI, Anthropic Claude, Meta Llama, etc.).


- Strong proficiency in Python and FastAPI.


- Expertise with frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras.


- Strong foundation in mathematics and statistics (linear algebra, calculus, probability, and statistics).


- Experience in SQL, data preprocessing, and feature engineering.

Good to Have :

- Working experience with low code and RPA tools


- Experience in LLM fine-tuning.


- Familiarity with prompt engineering and LLM observability tools.


- Understanding on NFRs, solution architecture and deployment models


info-icon

Did you find something suspicious?

Similar jobs that you might be interested in