Lead Data Scientist

Fractal Analytics Ltd.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Fractal Analytics Ltd. in Bengaluru is seeking an experienced Gen AI Solution Architect to design scalable Generative AI solutions aligned with business goals. You will lead architecture, governance, and cross-functional collaboration.

The role requires expertise in LLMs, RAG, AI agents, and cloud platforms (AWS/Azure/GCP), with a focus on scalable, secure deployments and mentoring teams across AI/ML initiatives.

Qualifications

• Need 10-15+ years of software engineering, cloud architecture, or AI experience.
• Experience in AI/ML solution architecture for Gen AI projects.
• Experience with designing end-to-end Gen AI architectures and deployment strategies.

Responsibilities

• 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.
• Architect MLOps and LLMOps pipelines for deployment, monitoring, and governance.
• Lead client workshops, discovery sessions, and architecture reviews.
• Present AI strategies and solution roadmaps to executives and stakeholders.

Skills

Leadership

Mentoring

Problem-solving

Decision-making

Client-facing communication

Stakeholder management

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

Vector databases (Pinecone, Weaviate, Chroma, Milvus)

AWS, Azure, GCP

Docker

Kubernetes

MLOps / LLMOps

Job description

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

• Design and implement 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 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 & Mentorship

• Guide 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.

Technical Skills

Generative AI, LLMs, RAG, AI Agents Machine Learning and Deep Learning Python, SQL, REST APIs LangChain, LangGraph, LlamaIndex, CrewAI Vector Databases (Pinecone, Weaviate, Chroma, Milvus) AWS, Azure, GCP Docker, Kubernetes, CI/CD MLOps / LLMOps Data Architecture and Data Engineering AI Security and Governance Soft Skills Solution design and architecture thinking Client-facing communication Stakeholder management Leadership and mentoring Problem-solving and decision-making Presentation and consulting skills

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 10-15+ years of software engineering, cloud architecture, or AI experience.
• 3-5+ years of experience in AI/ML solution architecture.
• Relevant certifications preferred: AWS Solutions Architect Azure AI Engineer / Azure Solutions Architect Google Professional Cloud Architect Databricks or Snowflake certifications.

India: [e-mail] Outside India: [e-mail] This inbox does not process resume submissions. All applications must be made through posted job openings.

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.