Python AI Architect
Description
About Position:
We are looking for an experienced Python AI Architect to design, build, and scale enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions. The ideal candidate will possess deep expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and cloud-native architectures. You will be responsible for architecting innovative AI platforms, establishing technical standards, and delivering scalable AI-powered applications that solve complex business problems across industries.
- Role: Python AI Architect
- Location: Hyderabad, Bengaluru
- Experience: 9 to 11 Years
- Job Type: Full-Time Employment
What You'll Do:
- Architect and design end-to-end AI/ML and Generative AI solutions using Python and modern AI frameworks.
- Design scalable enterprise applications powered by Large Language Models (LLMs), RAG architectures, vector databases, and intelligent agents.
- Build AI platforms and reusable frameworks leveraging LangChain, LangGraph, LlamaIndex, Hugging Face, and related ecosystems.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines including document ingestion, chunking, indexing, embedding generation, retrieval, reranking, and response generation.
- Design backend services and APIs using FastAPI, Flask, Python, and cloud-native development practices.
- Integrate commercial and open-source foundation models including Azure OpenAI, OpenAI, Llama, Mistral, Claude, and Hugging Face models.
- Define architecture standards, AI governance practices, security controls, and scalability frameworks for enterprise AI deployments.
- Evaluate and implement vector databases including Pinecone, FAISS, Weaviate, Milvus, and Azure AI Search.
- Lead technical architecture discussions, solution reviews, proof-of-concepts, and AI innovation initiatives.
- Collaborate with data scientists, engineers, product teams, architects, and business stakeholders to deliver AI-powered business solutions.
- Define AI deployment, monitoring, observability, evaluation, and performance optimization strategies.
- Guide teams on prompt engineering, model selection, AI evaluation, and responsible AI practices.
- Mentor developers and AI engineers while driving engineering excellence and technical best practices.
Expertise You'll Bring:
- 9-11 years of software engineering, AI/ML engineering, or solution architecture experience.
- Strong expertise in Python application development and enterprise solution architecture.
- Extensive hands-on experience with Artificial Intelligence (AI) and Machine Learning (ML) solutions.
- Proven experience designing and implementing Generative AI applications and Large Language Model (LLM)-based systems.
- Deep knowledge of Retrieval-Augmented Generation (RAG) architecture patterns and implementation strategies.
- Experience with Agentic AI frameworks and AI orchestration platforms.
- Strong hands-on expertise in LangChain, LangGraph, LlamaIndex, and Hugging Face ecosystems.
- Experience with prompt engineering, prompt optimization, model evaluation, and AI performance tuning.
- Expertise in vector databases such as FAISS, Pinecone, Weaviate, Milvus, Chroma, or Azure AI Search.
- Strong understanding of embedding models, semantic search, ranking techniques, and knowledge retrieval systems.
- Hands-on experience with PyTorch, TensorFlow, Scikit-learn, and modern ML frameworks.
- Experience designing scalable APIs and backend services using FastAPI, Flask, and Python microservices.
- Knowledge of AI deployment, MLOps, model monitoring, and AI lifecycle management practices.
- Experience working with cloud platforms such as Azure, AWS, or Google Cloud Platform.
- Strong understanding of software architecture principles, distributed systems, event-driven architectures, and cloud-native design patterns.
- Excellent stakeholder management, communication, leadership, and mentoring capabilities.
- Strong analytical thinking, problem-solving skills, and ability to drive innovation initiatives.
Benefits:
- Competitive salary and benefits package
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let's unleash your full potential at Persistent - persistent.com/careers
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."
Skills
- Accessibility
- Agentic AI
- AI
- API
- AWS
- Azure
- Cloud
- Cloud Native
- Design Patterns
- Distributed Systems
- Event Driven Architecture
- FAISS
- FastAPI
- Flask
- GCP
- Generative AI
- Hugging Face
- LangChain
- LangGraph
- LlamaIndex
- LLM
- Machine Learning
- Microservices
- Milvus
- Mistral
- MLOps
- Model Evaluation
- Observability
- OpenAI
- Pinecone
- Prompt Engineering
- Python
- PyTorch
- RAG
- scikit-learn
- Semantic Search
- Stakeholder Management
- TensorFlow
- Vector Databases
- Weaviate