[ASI] AI Solutions Architect

Company Description

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines delivering results with enjoyment.

Job Description

Project – the aim you’ll have

We are looking for an AI Solutions Architect to join our team and work on the design and delivery of advanced AI-driven solutions for our clients, with a strong focus on Generative AI.

Our mission is to help organizations translate business challenges into scalable, production-ready AI architectures, leveraging cloud platforms and modern AI capabilities such as LLMs, agentic systems, and intelligent automation.

This role sits at the intersection of technology and business, combining hands-on solution design with AI pre-sales activities. You will cooperate closely with clients to shape AI strategies, define architectures, and guide implementation - ensuring solutions are both technically sound and aligned with business goals.

Role – how you’ll contribute

• Design end-to-end architecture for AI-driven solutions with a focus on Generative AI (LLMs, RAG, agents, automation)
• Engage in AI pre-sales activities such as:
  - Translate business requirements into AI solution proposals and architectures
  - Prepare architecture diagrams
  - Conduct client workshops, discovery sessions, and technical presentations
• Design scalable, secure, and cost-efficient AI architectures on cloud platforms (AWS, Azure, GCP)
• Define and oversee implementation of AI solutions such as RAG pipelines, vector search, intelligent systems, agents, and LLM integrations
• Be prepared to provide technical leadership and guidance to engineering teams during delivery
• Follow best practices for AI system design, governance, and responsible AI

Qualifications

Expectations – the experience you need

• 5+ years of experience in IT architecture, solutions architecture, or senior engineering roles OR 2+ years of experience specifically in AI/ML architecture
• Proven experience designing and delivering AI/ML or Generative AI solutions in production
• Strong understanding of LLMs, prompt engineering, RAG and Agentic architectures
• Hands-on experience or strong understanding of frameworks such as LangChain, LlamaIndex, or similar
• Experience architecting solutions on cloud platforms (AWS, Azure, or GCP)
• Strong knowledge of API design, system integration, and distributed architectures
• Experience with ML/AIOps practices (deployment, monitoring, lifecycle management)
• Proven ability to engage with stakeholders and translate business needs into technical solutions
• Excellent communication skills in English and Polish

Additional skills – the edge you have

• Experience in IT pre-sales, consulting, or client-facing solution design roles
• Familiarity with agent-based systems and AI orchestration frameworks
• Experience with fine-tuning, evaluation, and optimization of LLMs
• Knowledge of Docker, Kubernetes, and scalable deployment patterns
• Understanding of security, compliance, and responsible AI principles
• Strong presentation and storytelling skills for both technical and non-technical audiences

Additional Information

What we offer:

• Flexible and remote cooperation options
• International projects with leading global clients
• Travels related to international projects
• Non-corporate atmosphere
• Access* to language classes
• Access* to knowledge-sharing initiatives
• Access* to private healthcare and life insurance
• Access* to multisport card

*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.