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 employment with enjoyment.
Job DescriptionProject – 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 work closely with clients to shape AI strategies, define architectures, and guide implementation - ensuring solutions are both technically sound and aligned with business goals.
Position – 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
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
Our offer – professional development, personal growth:
- Flexible employment and remote work
- International projects with leading global clients
- International business trips
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
Position at: Software Mind
Skills Required
- 5+ years of experience in IT architecture, solutions architecture, or senior engineering roles, or 2+ years specifically in AI/ML architecture
- 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 LangChain, LlamaIndex, or similar frameworks
- Experience architecting solutions on AWS, Azure, or GCP
- Strong knowledge of API design, system integration, and distributed architectures
- Experience with ML Ops or AIOps practices, including deployment, monitoring, and lifecycle management
- Ability to engage stakeholders and translate business needs into technical solutions
- Excellent communication skills in English and Polish
- Experience in IT pre-sales, consulting, or client-facing solution design
- Familiarity with agent-based systems and AI orchestration frameworks
- Experience with LLM fine-tuning, evaluation, and optimization
- Knowledge of Docker, Kubernetes, and scalable deployment patterns
- Understanding of security, compliance, and responsible AI principles
- Strong presentation and storytelling skills for technical and non-technical audiences
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
Software Mind Insights
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
