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CHI Software
Open role>14 days

AI Architect (Agentic AI)

CHI Software
Work model
Not specified
Experience
6+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
15 tags

Technology context

15

Parsed from the vacancy text; ordered by relevance to this role.

AI AgentsAILLMAWSGenAIAzurePythonRAGGCPLangGraphCloudLangChainScalabilityLlamaIndexAutomation

Full listing

Role description

We are looking for a strong AI Architect / Technical Lead with a solid engineering background and hands-on experience building agentic AI solutions . The ideal candidate combines deep technical expertise with experience leading AI programs from the architecture and technical delivery perspective.

What you'll do

  • Define the technical architecture and strategy for large-scale AI and agentic AI solutions.
  • Design and build AI agents, multi-agent systems, LLM-powered applications and orchestration workflows.
  • Lead agentic AI programs from a technical perspective - from discovery and architecture to implementation and production.
  • Make key decisions around LLMs, agent frameworks, RAG, tool calling, orchestration, evaluation and AI infrastructure.
  • Work closely with engineering, product and business teams to translate business and telecom use cases into scalable AI solutions.
  • Provide technical leadership across multiple AI initiatives and help establish architecture and engineering best practices.
  • Stay hands-on with PoCs and critical technical components when needed.
  • Support technical discussions with stakeholders and help shape the long-term AI roadmap.

What we're looking for

  • 6+ years of experience in software engineering, solution architecture or technical leadership.
  • Strong experience as an Architect, Principal Engineer, Technical Lead or similar role.
  • Proven hands-on experience with Agentic AI / AI Agents and LLM-based solutions.
  • Experience leading agentic AI programs from a technical perspective, not only designing individual solutions.
  • Strong understanding of:
  • LLMs and Generative AI
  • Agentic AI and multi-agent architectures
  • RAG and tool/function calling
  • AI orchestration and agent frameworks
  • AI system evaluation and observability
  • Cloud and scalable distributed architectures
  • Strong software engineering background, preferably with Python.
  • Experience designing production-grade, scalable and secure AI systems.
  • Excellent communication and stakeholder management skills.
  • Telecommunications domain experience is highly desirable.

Nice to have

  • Experience with telecom-specific AI use cases such as network operations, customer experience, service automation or intelligent support.
  • Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar.
  • Experience with AWS, Azure or GCP.
  • Experience establishing AI architecture standards, technical roadmaps and governance.