Job Title : Python AI Architect

Experience : 8+ Years

Location : Bangalore

Employment Type : Full-Time

Job Summary :

We are looking for an experienced Python AI Architect with 8+ years of software development experience and strong expertise in designing and implementing enterprise-scale AI applications. The ideal candidate should have hands-on experience in Python, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and cloud-native architectures on AWS. You will lead the design, development, and deployment of scalable AI solutions while mentoring engineering teams and collaborating with cross-functional stakeholders.

Key Responsibilities :

- Design and architect scalable AI/ML applications using Python.

- Develop enterprise-grade Generative AI solutions using LLMs such as OpenAI GPT, AWS Bedrock, Claude, or Gemini.

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases.

- Design and implement multi-agent AI systems using LangChain and LangGraph.

- Develop RESTful APIs and AI microservices using FastAPI.

- Integrate AI solutions with enterprise applications and third-party APIs.

- Architect cloud-native solutions on AWS, ensuring scalability, security, and high availability.

- Optimize AI model performance, latency, and inference costs.

- Collaborate with Product Managers, Data Scientists, and Engineering teams to define AI strategies.

- Establish best practices for software architecture, code quality, security, testing, and CI/CD.

- Mentor technical teams and conduct architecture and code reviews.

- Evaluate emerging AI technologies and recommend innovative solutions.

Required Skills :

- 8+ years of experience in Python application development.

- Strong expertise in Python, FastAPI, and REST API development.

- Hands-on experience with LangChain, LangGraph, and LlamaIndex.

- Strong knowledge of Large Language Models (LLMs) and Prompt Engineering.

- Experience building Agentic AI and RAG-based applications.

- Experience with embedding models and vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.

- Strong understanding of AI model orchestration, tool calling, and workflow automation.

- Experience with AWS services including Bedrock, Lambda, ECS/EKS, API Gateway, S3, IAM, CloudWatch, and Step Functions.

- Experience with Docker, Kubernetes, and microservices architecture.

- Knowledge of PostgreSQL, MongoDB, or DynamoDB.

- Experience with Git, GitHub Actions/Jenkins, and CI/CD pipelines.

- Strong understanding of software design patterns, distributed systems, and scalable architecture.

Preferred Skills :

- Experience with PyTorch or TensorFlow.

- Knowledge of MLOps and model deployment practices.

- Experience with Terraform or AWS CloudFormation.

- Familiarity with Kafka, RabbitMQ, or event-driven architectures.

- Experience with AI observability and monitoring tools.

- AWS Solution Architect or AI/ML certifications are an added advantage.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.

Key Competencies :

- Solution Architecture

- Enterprise AI Design

- System Design

- Leadership and Mentoring

- Problem Solving

- Stakeholder Management

- Excellent Communication Skills

Nice to Have :

- Experience developing AI Copilots and enterprise chatbots.

- Hands-on experience with MCP (Model Context Protocol).

- Exposure to autonomous AI agents and workflow orchestration.

- Experience with OpenTelemetry, Prometheus, Grafana, and AI monitoring frameworks.

- Knowledge of secure AI application development and governance.

Primary Skills :

- Python, FastAPI, Generative AI, LLM, LangChain, LangGraph, RAG, Agentic AI, AWS Bedrock, Docker, Kubernetes, Vector Databases, Microservices.