Fractal Labs

2 months ago

AI Platform Architect: Agentic & Generative AI - Cogentiq

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: 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

Website LinkedIn

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Fractal Labs

2 months ago

AI Platform Architect: Agentic & Generative AI - Cogentiq

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

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

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn