AI Solution Architect

Altamira

Completely RemoteContractInformation Technology
Posted Yesterday

Job description

Responsibilities

  • Design end-to-end AI architectures mapping to business goals
  • Architect enterprise patterns including copilots, RAG, conversational AI, and multi-agent systems
  • Design AI agents with tool calling, memory, and orchestration
  • Build AI-ready data layers including vector stores, semantic search, and knowledge graphs
  • Integrate AI with enterprise systems (ERP, CRM, HRIS) via APIs and event streams
  • Drive AI adoption across the SDLC to accelerate software delivery
  • Provide technical leadership, architecture standards, and client engagement

Requirements

  • 8+ years in solution or software architecture
  • 3+ years delivering production AI solutions
  • Hands-on experience with major LLM platforms (OpenAI, Anthropic, Google Gemini, AWS Bedrock, or Azure OpenAI)
  • Practical experience with agentic frameworks like LangGraph, LangChain, or LlamaIndex
  • Strong Python skills
  • Experience with at least one major cloud provider (AWS, Azure, or GCP)
  • Hands-on experience building RAG systems and working with vector databases
  • Experience integrating systems with APIs, SQL/NoSQL, and enterprise patterns
  • Excellent stakeholder communication skills

Preferred Qualifications

  • TypeScript/JavaScript experience
  • Knowledge of knowledge graphs, data lakes, and semantic modeling
  • Proficiency with AI developer tools like GitHub Copilot, Claude Code, or Cursor
  • LLMOps and evaluation experience (prompt versioning, guardrails, observability)
  • Familiarity with AI governance, security, and compliance
  • Prior consulting or client-facing delivery experience

About the Company

Altamira is a software development outsourcing company providing solutions that impact client growth and productivity across EdTech, Fintech, eCommerce, and Pharma verticals.

Skills & tools

PythonLLMRAG

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 018+ years in software architecture
  2. 023+ years in production AI delivery
  3. 03Experience with LLM platforms
  4. 04Proficiency in Python
  5. 05Cloud platform experience
  6. 06RAG and vector database expertise
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