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Senior AI Solution Architect

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Onsite

Senior AI Solution Architect

Careernet

Senior AI Solution Architect

Skills

Google Cloud PlatformDockerPythonAIGitHubKubernetesTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

21 September 2026

What they need


Key Skills: LLM, Solution Architect, Azure, Python, Generative AI, GCP, Retrieval-Augmented Generation (RAG), Lang chain, Terraform, Lang graph, IAC, CICD, Kubernetes, Docker

Roles and Responsibilities:

  • Define and evolve the target architecture for Operational AI and automation.
  • Design modular, reusable architectures for AI agents and enterprise integrations.
  • Develop production-grade software using Python and modern engineering practices.
  • Implement RAG and knowledge retrieval architectures for operational data.
  • Integrate AI capabilities with enterprise platforms and establish secure integration patterns.

Skills Required:

  • 10+ years of relevant experience in software engineering and solution architecture.
  • Several years of hands-on experience in software engineering and solution architecture.
  • Strong Python development experience.
  • Proven experience designing and building distributed or enterprise software solutions.
  • Strong understanding of LLMs, RAG, prompt engineering and AI agent architectures.
  • Experience with API-based enterprise integration.
  • Experience with cloud platforms, preferably Azure and/or GCP.
  • Strong understanding of security, identity, networking and enterprise architecture principles.
  • Experience with CI/CD, Git and Infrastructure as Code.
  • Strong understanding of software development lifecycle and automated testing.
  • Ability to balance architectural quality with pragmatic, iterative delivery.
  • Excellent English communication skills and the ability to explain complex technical concepts to different audiences.

Good to Have:

  • Experience with MCP, agent frameworks or multi-agent architectures.
  • Experience with vector databases, semantic search or knowledge graphs.
  • Experience with Kubernetes, Docker and modern cloud-native architectures.
  • Experience with Terraform and GitHub Actions / Azure DevOps.
  • Experience in AIOps, ITSM or Service Operations.
  • Knowledge of the airline industry.

Education: B. Sc., B.E., B.Tech, M.Tech (Dual), M. Tech,M. Sc

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