Senior AI Solution Architect

Careernet; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Careernet is seeking a seasoned AI Solution Architect to shape the target architecture for Operational AI and automation in Bengaluru. You will design modular architectures for AI agents and enterprise integrations, and develop production-grade software using Python and modern engineering practices.

You will implement RAG and retrieval architectures for operational data, integrate AI capabilities with enterprise platforms, and establish secure patterns for enterprise integration.

Qualifications

• 10+ years of relevant experience in software engineering and solution architecture.
• Strong Python development experience.
• Experience with cloud platforms, preferably Azure and/or GCP.
• Experience with CI/CD, Git and Infrastructure as Code.

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

LLM

Solution Architect

Azure

Python

Generative AI

GCP

RAG

LangChain

Terraform

Kubernetes

Docker

CI/CD

Lang Graph

IaC

Security & Enterprise Integration

English Communication

Education

B.Sc./B.E./B.Tech/M.Tech/M.Sc

Tools

Kubernetes

Docker

Terraform

GitHub Actions

Azure DevOps

Git

Job description

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