Principal Data Scientist

Fractal-Analytics; Bengaluru; On-site; INR 1,500,000 - 1,900,000; Full time

Job summary

Fractal Analytics is seeking an experienced Gen AI Solution Architect to design scalable Generative AI solutions for Fortune 500 clients. You will lead end-to-end architectures, from LLMs to AI agents, across AWS/Azure/GCP.

The role requires deep AI/ML expertise, strong cloud and stakeholder management, and the ability to guide pre-sales, governance, and AI ethics considerations while mentoring teams.

Qualifications

• Experience designing GenAI architectures for enterprise-scale applications.
• Strong understanding of LLMs, RAG, and AI agents.

Responsibilities

• Design end-to-end GenAI architectures with LLMs, RAG, vectors, and multimodal models.
• Create scalable, secure AI solution blueprints and deployment strategies.
• Evaluate AI platforms, frameworks, and cloud services.
• Architect MLOps and LLMOps pipelines for deployment, monitoring, governance.
• Engage with stakeholders and translate business needs into technical solutions.
• Lead and mentor teams; stay current with GenAI trends.

Skills

Generative AI

LLMs

RAG

AI Agents

Python

SQL

REST APIs

LangChain

LangGraph

MLOps

LLMOps

Education

Bachelor’s or Master’s degree in CS/AI/Data Science

Tools

Pinecone

Weaviate

Chroma

Milvus

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

Job description

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 FractalFractal 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 SummaryWe 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 ResponsibilitiesSolution Architecture & DesignDesign 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 EngineeringArchitect 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 ArchitectureDesign 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 EngagementGather 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 & ComplianceEstablish responsible AI practices and governance frameworks.Address model security, privacy, compliance, and risk management.Define monitoring, observability, and evaluation frameworks for AI systems.Ensure alignment with enterprise architecture standards.Leadership & MentorshipGuide data scientists, ML engineers, and software development teams.Review solution designs and implementation approaches.Stay current with emerging Gen AI technologies and industry trends.Drive innovation and AI adoption across the organization.Required SkillsTechnical SkillsGenerative AI, LLMs, RAG, AI AgentsMachine Learning and Deep LearningPython, SQL, REST APIsLangChain, LangGraph, LlamaIndex, CrewAIVector Databases (Pinecone, Weaviate, Chroma, Milvus)AWS, Azure, GCPDocker, Kubernetes, CI/CDMLOps / LLMOpsData Architecture and Data EngineeringAI Security and GovernanceSoft SkillsSolution design and architecture thinkingClient-facing communicationStakeholder managementLeadership and mentoringProblem-solving and decision-makingPresentation and consulting skillsQualificationsBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.8–15+ years of software engineering, cloud architecture, or AI experience.3–5+ years of experience in AI/ML solution architecture.Relevant certifications preferred:AWS Solutions ArchitectAzure AI Engineer / Azure Solutions ArchitectGoogle Professional Cloud ArchitectDatabricks or Snowflake certificationsIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!