AI Platform Architect: Agentic & Generative AI - Cogentiq

Fractal Labs
Bengaluru
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Python","Java","Go","LangChain","LlamaIndex","AutoGen","CrewAI","Pinecone","FAISS","Weaviate","Kubernetes","CI/CD","IaC","RAG","LLMs","Vector databases","ML ops","MLOps"]

Lead design and scale of enterprise-grade Agentic AI and Generative AI platforms, enabling copilots, autonomous workflows, and multi-agent systems. Design reference architectures, define engineering standards, and drive platform capabilities across cloud-native stacks. Collaborate with data science, product, and business teams; mentor engineers; ensure production-grade reliability, observability, and governance for LLM-powered workloads.

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FursaFursa
Fractal Labs
Fractal Labs
4 months ago

AI Platform Architect: Agentic & Generative AI - Cogentiq

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Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Lead design and scale of enterprise-grade Agentic AI and Generative AI platforms, enabling copilots, autonomous workflows, and multi-agent systems. Design reference architectures, define engineering standards, and drive platform capabilities across cloud-native stacks. Collaborate with data science, product, and business teams; mentor engineers; ensure production-grade reliability, observability, and governance for LLM-powered workloads.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Manager level

Key Responsibilities

  • •Architect scalable Agentic AI platforms supporting multi-agent orchestration, tool usage, memory, planning, and reasoning workflows
  • •Design end-to-end GenAI platforms, including prompt orchestration, retrieval-augmented generation pipelines, vector databases, and LLM integrations
  • •Define modular, microservices-based, API-first architectures enabling rapid development of AI copilots and autonomous systems
  • •Define architectural patterns for agent orchestration, planning, reflection, and human-in-the-loop systems
  • •Evaluate and integrate frameworks like LangChain, LlamaIndex, AutoGen, and CrewAI into enterprise platforms

Key Requirements

  • •12–15 years of experience in platform engineering / architecture, with strong depth in distributed systems
  • •Deep expertise in cloud platforms (AWS, Azure or GCP) and Kubernetes-based architectures
  • •Hands-on experience with LLMs, RAG architectures, and vector databases (e.g., Pinecone, FAISS, Weaviate)
  • •Strong understanding of agentic frameworks, multi-agent systems, and orchestration patterns
  • •Experience across LLMOps / MLOps, including model deployment, monitoring and evaluation, lifecycle and version management
Experience:Enterprise AICloud computingDistributed systems
Skills:PythonJavaGoLangChainLlamaIndexAutoGenCrewAIPineconeFAISSWeaviateKubernetesCI/CDIaCRAGLLMsVector databasesML opsMLOps
Languages:English
Tech Stack:PythonJavaGoAWSAzureGCPKubernetesLLMsRAGVector databasesLangChainLlamaIndexAutoGenCrewAIPineconeFAISSWeaviateCI/CDIaC

Company Brief

Fractal Labs
Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: New York, United States
Founded: 2000
WebsiteLinkedIn