Senior AI/ML DevOps Platform & SDLC Automation Architect | 12+ Yrs | Any UST Location | Immediate Joiner

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Job Summary


Salary
โ‚น145,833 - โ‚น229,167 / Monthly EST

Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python Kubernetes Prometheus Grafana Azure CI API Docker Terraform Rest API AWS

Job Description

Candidates ready to join immediately can share their details via email for quick processing.

๐Ÿ“Œ CCTC | ECTC | Notice Period | Location Preference

[email protected]

Act fast for immediate attention! โณ๐Ÿ“ฉ


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
  • Strong 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


Interview Questions of Senior AI/ML DevOps Platform & SDLC Automation Architect | 12+ Yrs | Any UST Location | Immediate Joiner at UST

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