Senior AI/ML DevOps Platform & SDLC Automation Architect | …, Bengaluru

Candidates ready to join immediately can share their details via email for quick processing. CCTC | ECTC | Notice Period | Location Preference Act fast for immediate attention! ⏳ Must-Have Skills:
- 12+ years of overall experience in software engineering, architecture, DevOps, platform engineering, or enterprise automation
- Strong expertise in AI/ML architecture and AI automation
- Hands-on experience in designing agentic AI solutions and multi-step workflow automation
- Strong Python development skills
- Solid experience in REST API design, integration, and service-based architecture
- Experience building LLM-powered enterprise applications
- Hands-on experience with RAG architectures , embeddings, prompt engineering, and enterprise AI workflows
- Experience with orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen
- Strong understanding of DevOps platforms and engineering workflows
- Experience in CI/CD pipeline automation , source control workflows, and infrastructure automation
- Hands-on exposure to Azure DevOps, GitHub, Docker, Kubernetes, Terraform
- Experience implementing governance, compliance, repository policies, and security automation
- Strong experience with Prometheus, Grafana , and observability tooling
- Cloud experience in Azure is required; AWS/GCP exposure is an advantage
- Strong communication, architecture discussion, and stakeholder management skills Good-to-Have Skills:
- Experience building multi-agent AI architectures
- Familiarity with AI evaluation, monitoring, and guardrail frameworks
- Experience with vector databases and semantic search systems
- Experience building enterprise knowledge retrieval systems
- Exposure to internal developer platforms or engineering enablement platforms
- Experience building engineering dashboards , operational monitoring tools, or platform portals
- Familiarity with secure AI integrations , governance frameworks, and compliance automation
- Exposure to LLMOps / MLOps / AI platform engineering practices
- Experience working in large-scale enterprise cloud environments Key Skills:
- AI/ML, Agentic AI, AI Automation, Python, REST API, Azure DevOps, GitHub, CI/CD, DevOps Platform, SDLC Automation, RAG, LangChain, LlamaIndex, CrewAI, AutoGen, Docker, Kubernetes, Terraform, Prometheus, Grafana, Azure Apply on Kit Job: kitjob.in/job/4n9i37