AI Architect

Job Description AI Architect Work Mode:Hybrid Working Hours:9 am to 6:30 pm IST Location:Pune Experience:10 to 12 years (with minimum 2 to 3 years hands-on in Generative AI / LLMs) Description of Position: We are seeking an experienced and hands-on AI Architect to lead our AI/ML and GenAI solution initiatives. This individual will be responsible for designing, developing, and delivering cutting-edge AI solutions using GenAI LLM models (GPT, Llama, etc.), Vector databases, and LangChain. The candidate should possess strong skills in Python, Machine learning/Deep learning architecture, NLP, OCR, and & AI platforms like Azure AI, Hugging Face, etc. The candidate will also contribute to pre-sales, lead client technical discussions, and guide the AI competency and product roadmap for internal product initiatives. This role requires a strong mix of technical leadership, hands-on development, client-facing communication, and strategic thinking. Key Responsibilities: Solutioning & Architecture - Architect scalable, production-grade AI/ML and GenAI solutions using LLMs (e.g., GPT, Llama, Mistral), LangChain, Vector DBs (e.g., FAISS, Chroma, Pinecone, Weaviate). - Select and fine-tune LLMs (open-source or proprietary) for customer use cases. - Build end-to-end pipelines integrating OCR/NLP with AI-driven workflows. - Design modular and reusable codebases using Python and ML frame - Provide technical PoCs and solution blueprints for client proposals. AI & ML Development - Hands-on development of ML/DL models including supervised, unsupervised, and NLP models. - Build and optimize AI workflows on Azure/AWS platforms or on-premise using open-source stacks. - Implement vector search pipelines with RAG (Retrieval Augmented Generation). - Develop and manage APIs, microservices, and pipelines for AI models. Team Leadership & Mentorship - Guide and mentor junior developers and AI engineers. - Set up best practices, code quality standards, and model validation/review mechanisms. - Build and scale internal AI/ML competency through training and CoEs. Client & Pre-Sales Engagement - Participate in pre-sales calls, technical discussions, and discovery sessions with clients. - Translate business needs into AI solutions and communicate technical approaches. - Create solution decks, effort estimations, and demo prototypes. Product & Innovation - Contribute to building AI-based product ideas into MVPs. - Define and evolve product roadmap and technical architecture. - Ensure models are designed for scalability, maintainability, and performance Project and Delivery Management - Participate and contribute to designing, developing, deploying, documenting, quality assurance, governance, maintenance activities of the project. - Contribute to projects from the requirements phase to deployment and support and maintenance. - Participate and contribute to all project phases, including requirements to deployment and support and maintenance. Desired Skills & Experience: Core Technical Skills - Strong experience with GenAI, LLMs (OpenAI GPT, LLaMA, Mistral, Claude, etc.) - Expertise in LangChain, LlamaIndex, or similar orchestration frameworks. - Hands-on with Python, FastAPI/Flask, PyTorch/TensorFlow. - Strong knowledge of NLP, OCR, Transformers, and Embedding models. Experience with Vector Databases (FAISS, Pinecone, Chroma, etc.) - Proficiency with cloud AI platforms: Azure AI, AWS Sagemaker, GCP Vertex AI. - Experience with Hugging Face, OpenAI APIs, model fine-tuning & deployment. - Familiar with MLOps principles, prompt engineering, and CI/CD for AI moCI/CDdels. - Microsoft technologies and ecosystem, and Azure AI services. Architectural & Leadership Experience - 2+ years in a solution architect or tech lead role. - Experience working with agile teams and managing deliveries. - Ability to design enterprise-grade AI solutions for real-world scenarios. Pre-sales & Communication - Strong communication and presentation skills. - Proven track record of participating in pre-sales, preparing proposals, PoCs, and demos. - Ability to explain complex AI concepts in business terms to non-technical stakeholders. Product Management Mindset - Experience in designing BI/AI-driven products or tools. - Understanding of product lifecycle, market-fit analysis, and MVP strategy. - Passion to do independent research on new trends & technologies in BI/AI domain and how it can fit to solve specific business problems Good to Have Skills: - Exposure to multimodal models (text, image, audio together). - Familiarity with data governance, model explainability, and AI ethics. - Experience with AutoML, RLHF, and LLM fine-tuning with PEFT/LoRA. - Knowledge of tools like Databricks, MLflow, Azure ML, Streamlit. - Contribution to open-source projects or AI communities. Educational Qualification: - Bachelor's or Masters degree in Computer Science, Data Science, AI/ML, or related field. - Certifications in Azure AI, AWS ML, or Google AI will be an advantage.