AI Solution Architect

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Altamira

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

🤖 Artificial Intelligence

💳 Fintech

Software • Artificial Intelligence • Fintech

Altamira is a software development company specializing in custom software solutions and AI integration. They offer a comprehensive range of services including software discovery, development, audit and consulting, MVP development, and team augmentation. Altamira focuses on delivering cost-efficient, high-quality software tailored to the unique needs of various industries, including education, eCommerce, finance, and pharmaceuticals.

📋 Description

• 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.

🎯 Requirements

• 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. • 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.