Generative AI Solutions Architect | Cloud-scale & Pre-Sales

Softwaremind

Kraków

On-site

PLN 180,000 - 280,000

Full time

5 days ago
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Benefits offered by this job

Remote work
International projects
Business trips
Private healthcare
Multisport card
Internal and external training

Job summary

Software Mind is seeking an AI Solutions Architect to design and deliver advanced AI-driven solutions with a Generative AI focus. You will shape architectures, run client workshops, and lead pre-sales activities to align technical solutions with business goals.

You will design scalable AI systems on AWS/Azure/GCP, implement RAG pipelines, vector search, and LLM integrations, and guide engineering teams through delivery and governance best practices.

Qualifications

  • 5+ years in IT architecture or senior engineering roles, or 2+ years in AI/ML architecture.
  • Proven delivery of AI/ML or Generative AI solutions in production.
  • Strong knowledge of LLMs, prompt engineering, RAG and agentic architectures.
  • Experience with cloud platforms (AWS, Azure, GCP) and API design.

Responsibilities

  • Design end-to-end AI-driven architectures with Generative AI focus.
  • Lead AI pre-sales activities and translate business needs into proposals.
  • Create architecture diagrams and run client workshops and presentations.
  • Oversee secure, scalable, cost-efficient deployments on cloud platforms.
  • Provide technical leadership to engineering during delivery.

Skills

AI/ML architecture
Cloud architecture
LLMs & prompt engineering
Client-facing communication
Pre-sales / solution design

Tools

LangChain
LlamaIndex
Docker
Kubernetes

Job description

Software Mind is seeking an AI Solutions Architect to design and deliver advanced AI-driven solutions with a Generative AI focus. You will shape architectures, run client workshops, and lead pre-sales activities to align technical solutions with business goals.

You will design scalable AI systems on AWS/Azure/GCP, implement RAG pipelines, vector search, and LLM integrations, and guide engineering teams through delivery and governance best practices.

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