Principal Data Scientist

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Brief about Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, Analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling.  The Artificial Intelligence and Machine Learning (AIML) group at Fractal Analytics is actively involved in helping Fortune 500 companies by enabling them to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms for which we are looking for Data Scientists with the capability to work on independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you. Position Summary We are seeking an experienced Gen AI Solution Architect to design and deliver scalable, secure, and business-focused Generative AI solutions. The ideal candidate will combine deep expertise in AI/ML technologies with strong architecture, cloud, and stakeholder management skills to drive AI transformation initiatives. Key Responsibilities Solution Architecture & Design Design end-to-end Generative AI architectures using LLMs, RAG, AI Agents, vector databases, and multimodal models. Define scalable, secure, and cost-effective AI solution architectures. Create technical blueprints, architecture diagrams, and deployment strategies. Evaluate and recommend AI platforms, frameworks, and cloud services. AI & LLM Engineering Architect solutions using models such as GPT, Claude, Gemini, Llama, Mistral, and open-source LLMs. Design prompt engineering, fine-tuning, and model optimization strategies. Build RAG pipelines using vector databases such as Pinecone, Weaviate, Chroma, or Azure AI Search. Implement AI agents and orchestration frameworks such as LangChain, LangGraph, CrewAI, or Semantic Kernel. Cloud & Platform Architecture Design AI solutions on AWS, Azure, or Google Cloud. Utilize services such as Azure OpenAI, AWS Bedrock, Vertex AI, and AI Foundry. Architect MLOps and LLMOps pipelines for deployment, monitoring, and governance. Ensure high availability, scalability, and performance. Business & Stakeholder Engagement Gather business requirements and translate them into technical solutions. Conduct client workshops, discovery sessions, and architecture reviews. Support pre-sales activities, RFP responses, solution demonstrations, and proposal creation. Present AI strategies and solution roadmaps to executives and stakeholders. Governance, Security & Compliance Establish responsible AI practices and…