Altamira for freelancers - AI Solution Architect

Remote - UK1mo ago

Requirements

• 8+ years in solution or software architecture, including 3+ years delivering production AI solutions (not just prototypes). • production • Hands-on experience with at least one major LLM platform: OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, or Azure OpenAI. • Practical experience with at least one agentic framework — LangGraph, LangChain, LlamaIndex, Semantic Kernel, or OpenAI Agents SDK. • Strong Python, plus solid experience on at least one major cloud (AWS, Azure, or GCP). • Hands-on experience building RAG systems and working with vector databases. • Experience integrating systems with APIs, SQL/NoSQL, and enterprise integration patterns. • Excellent stakeholder communication — you can explain tradeoffs to executives and engineers alike. • TypeScript/JavaScript for full-stack or agent-tooling work. • Knowledge graphs, data lakes/lakehouses, and metadata/semantic modeling. • Daily use of AI developer tools (GitHub Copilot, Claude Code, Cursor) with a point of view on where they help. • LLMOps/evaluation experience — prompt versioning, offline/online eval, guardrails, observability. • Familiarity with AI governance, security, and compliance (data residency, PII handling, model risk). • Prior consulting or client-facing delivery experience. • What success looks like • Solutions reach production and deliver measurable business value — adoption, cost saved, or cycle time reduced — not just demos. • Reusable AI capabilities and data foundations that later projects build on instead of rebuilding. • Measurable acceleration of software delivery from AI adoption across teams. • AI integrated into enterprise systems with governance, security, and compliance intact. • Our transparent recruitment journey usually takes up to 2 weeks and includes a few stages: • Recruiting Interview -> 30-45 min • Technical Interview -> 1-1,5h • Client Interview (optional) -> up to 1h • Reference Check • If you're seeking a flexible, welcoming, and professional environment, join our freelance project-based team! • We do believe that the success of altamira.ai is impossible without the success of our Talents and the success of our Clients!

Responsibilities

• 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.