AI Architect

AI Architect

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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 models.
• 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.