Technical Architect /Solution lead

Must Have Technical/Functional Skills

- Experience in Python (FastAPI).
- Experience in FAISS ,Vector DB
- Proficiency in JavaScript for backend and lightweight frontend support (excluding React JS).
- Strong grasp of RESTful APIs integration and WebSocket communication.
- Expertise in Large Language Models (LLMs) usage, including fine and dynamic prompt engineering for
- Generative AI applications.
- Hands-on experience with LangGraph Langchain agents for building and orchestrating AI workflows.
- Experience with Redis (cache, streams, pub/sub patterns) for real-time chat handling.
- Experience with OAuth2.0 / JWT based API security.
- Good understanding of event-driven architectures and asynchronous programming (async/await).
- Experience working with relational or NoSQL databases (Teradata, MongoDB, SOLR, etc.).
- Ability to optimize system performance (scalability, fault tolerance).
- Familiarity with containerized application deployment on OpenShift, including CI/CD pipelines and automation tools.

Roles & Responsibilities

- Owns end to end solution design Collaborate and work closely with the customer Cisco leader daily basis for review
- Performance optimization
- Customer-facing technical leadership to effectively communicate design decisions, challenges, trade-offs, and limitations




- Design and build scalable APIs using FastAPI.
Extensibility, maintainability, scalability, and overall future-readiness assessment
- Utilize Large Language Models (LLMs) and SLM for Generative AI-based application development, applying fine and
- energetic prompting techniques to optimize AI responses.
- Develop and maintain LangGraph Langchain agents to orchestrate complex AI workflows and agentic automation.
- Implement robust asynchronous event handling and improve system resilience with retries,
- backoff, and failure recovery patterns.
- Review and leads developers code for best practices and efficiency day to day
- Set up error handling, monitoring, and logging standards, including observability for LLMs and AI workflows.
- Implement OAuth2.0 and JWT validation security mechanisms.
- Deploy and manage code on OpenShift containers, ensuring containerized application scalability and reliability.

Mode of interview - Virtual Interview

Date: 28-Jul-26

Time: 10:30 AM-6:00 PM

Location: Bangalore

Eligibility Criteria:

- Minimum 15 years of full-time education (10th + 12th + min 3 Years of Graduation)
- Proper documents[relieving letter/Experience letter] from previous companies
- Experience must be within the range mentioned .

📌 Virtual Drive- Gen AI- Architect- 28-Jul-26 (Karnataka)
🏢 Tata Consultancy Services
📍 Karnataka