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AI Architect

  • Source: LinkedIn
  • Saransh Inc
  • $20,755.5 to $43,586.55 /yr
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Hiring: AI Architect – GenAI & Agentic AI

Role: AI Architect / GenAI Architect

Location: Hyderabad

Experience: 15+ Years

Domain: BFSI / Financial Services

Mandate Skills: Agentic AI, RAG, Multi Agent AI, Java

We are looking for an experienced AI Architect to join an enterprise AI Center of Excellence (CoE) and drive large-scale AI transformation across the organization.

Key Requirements:

  • 15+ years of overall experience in Software Engineering / Architecture
  • Strong hands-on experience in GenAI, LLMs & Agentic AI
  • BFSI / Financial Services domain experience is mandatory
  • Strong Java programming and enterprise architecture experience
  • Hands-on experience with RAG, Embeddings & Prompt Engineering
  • Strong experience in multi-Agent AI systems
  • Experience with LangChain / LangGraph / AutoGen / CrewAI
  • Experience with AI-driven SDLC and DevOps / CI-CD integration
  • Strong understanding of AI Observability, Explainability & Guardrails
  • Experience with AI Security, Governance, Responsible AI & Data Privacy
  • Hands-on experience with MLOps / LLMOps
  • Experience with AWS / Azure / GCP
  • Strong experience with Kubernetes, Docker, Microservices & APIs
  • Experience designing scalable, secure and production-grade AI architectures

Good to Have”

  • Experience building Internal Developer Platforms (IDPs)
  • AI accelerators, reference architectures & enterprise AI playbooks
  • MCP / Tool Calling / Function Calling / A2A
  • Cloud certification – AWS / Azure / GCP
  • Experience in regulated BFSI environments

📩 Interested candidates can share their updated resume / profile.

Please Apply / Refer suitable candidates.

Hiring #AIArchitect #GenAI #GenerativeAI #AgenticAI #AIAgents #RAG #LLM #MultiAgentAI #Java #BFSI #AIArchitecture #MLOps #LLMOps #Kubernetes #AWS #Azure #DevOps #Hyderabad #HiringNow

Skills

  • agentai
  • Java
  • scaleai
  • LangChain
  • LangGraph
  • crewai
  • guardrails
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Kubernetes
  • Docker
  • azure-devops

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