Lead AI Solution Architect for Production-Grade Systems

Systems Limited

Lahore

On-site

PKR 3,000,000 - 6,000,000

Full time

8 days ago

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Job summary

Systems Limited is seeking an AI Solution Architect who thinks in agents, reasons in models, and designs in flows. This is a ground-up role for someone with large language models experience who will own the end-to-end technical vision for AI-native solutions in enterprise settings.

You will lead design of AI-first workflows, select foundation models, and build MCP connectors to enterprise data sources, collaborating with product, engineering, and business stakeholders to translate ambiguous

Qualifications

  • 8+ years of software or solutions architecture experience, with hands-on AI/ML production work.
  • Experience building AI harnesses and agent orchestration frameworks.
  • Familiarity with MCP connectors and enterprise data integrations.

Responsibilities

  • Lead the design and delivery of AI-first solutions and production-grade architectures.
  • Architect AI harnesses for multi-step reasoning, tool use, memory, and retrieval.
  • Design MCP connectors and integrations to extend AI capabilities into data sources.
  • Evaluate foundation models and tuning strategies for diverse use cases.
  • Define prompt patterns, guardrails, and evaluation methods for repeatable success.
  • Collaborate with product and engineering to translate blueprints into code and infra.
  • Communicate complex decisions clearly to non-technical stakeholders.
  • Support pre-sales discussions by articulating technical credibility of AI offerings.
  • Drive internal AI initiatives and collaboration with leadership to embed AI company-wide.

Skills

AI/ML architecture
Agent orchestration
LLM APIs
RAG pipelines
Cloud deployments

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain
LlamaIndex
AutoGen
MCP connectors
OpenAI API

Job description

Systems Limited is seeking an AI Solution Architect who thinks in agents, reasons in models, and designs in flows. This is a ground-up role for someone with large language models experience who will own the end-to-end technical vision for AI-native solutions in enterprise settings.

You will lead design of AI-first workflows, select foundation models, and build MCP connectors to enterprise data sources, collaborating with product, engineering, and business stakeholders to translate ambiguous

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