AI Solution Architect

Altamira is a software development outsourcing company. We provide solutions that make a tangible impact on our clients’ growth and productivity. With domain knowledge across product and technology development, we aim to provide cost-efficient solutions without compromising quality. We are driven to deliver the best, every single time. 

Altamira service delivery teams currently span Slovakia, Ukraine, and the Middle East, and we have ambitions to expand our footprint to meet the growing demand across Europe and into our primary growth markets in the UK and the US. In terms of industry verticals, we are focused on EdTech, Fintech, eCommerce, and Pharma. 

As a fully remote company, we welcome talented individuals seeking hourly-based freelance opportunities

We're looking for an AI Solution Architect to lead the design and delivery of enterprise AI systems - from AI-native applications and agentic workflows to the data foundations that make them reliable. You'll own architecture end-to-end: shaping solutions with clients and stakeholders, setting standards, and staying hands-on enough to prove out the hard parts yourself. You'll also help drive AI adoption across our own engineering practice, so teams ship faster and better.

This role suits someone who is equally comfortable in a whiteboard session with a client's CTO and in a terminal debugging a RAG pipeline.

What you'll do

• Design end-to-end AI architectures that map to real business goals, not just technical possibility.
• Architect AI solutions across common enterprise patterns: copilots, RAG and document intelligence, conversational AI, workflow automation, and multi-agent systems.
• Design AI agents with tool calling, memory, orchestration, and human-in-the-loop controls - and know when not to make something autonomous.
• Build AI-ready data layers: vector stores, semantic search, knowledge graphs, metadata, and RAG pipelines grounded in enterprise knowledge.
• Integrate AI with systems of record (ERP, CRM, HRIS, ITSM, finance, collaboration tools) via APIs and event streams.
• Drive AI adoption across the SDLC - AI-assisted design, coding, testing, review, documentation, and CI/CD - and measure whether it's actually helping.
• Provide technical leadership: architecture standards, governance, mentoring, and client engagement.

What you'll bring

• 8+ years in solution or software architecture, including 3+ years delivering production AI solutions (not just prototypes).
• Hands-on experience with at least one major LLM platform: OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, or Azure OpenAI.