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Lead Data Scientist

Fractal
Bengaluru, IND
Full-time
Lead · 10+ years experience
Onsite
Discovered 2 weeks ago
awsazuredatabricksdockergcpkubernetes

Full Job Posting

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 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
  • If 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!
  • 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

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