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AI Solutions Architect
Location
Latin America
Posted
1 day ago
Salary
0
Seniority
Lead
Job Description
AI Solutions Architect
Upstart 13
• Own the end-to-end AI architecture across LLM orchestration, retrieval, enterprise data integration, and deployment. • Define architectural standards, best practices, and reusable AI patterns across the platform. • Evaluate architectural trade-offs involving latency, cost, model quality, scalability, security, and maintainability. • Define the long-term AI strategy in collaboration with the Delivery Lead and engineering leadership. • Design intelligent agent architectures, including tool calling, retrieval, planning, multi-step reasoning, and state management. • Design AI integrations with enterprise data platforms, semantic models, APIs, and knowledge repositories. • Define AI evaluation strategies covering quality, hallucination detection, grounding, latency, and cost optimization. • Design observability and monitoring capabilities for AI applications, including prompt performance, model behavior, and operational telemetry. • Collaborate with cloud infrastructure and security teams to ensure secure, resilient, and compliant deployments. • Contribute directly to proof-of-concepts and critical implementation efforts when needed.
Job Requirements
- 10+ years of professional experience in software engineering, including designing and architecting enterprise software solutions.
- 3+ years of experience designing and delivering production AI solutions leveraging Large Language Models.
- Strong experience designing enterprise AI systems using Retrieval-Augmented Generation (RAG), agentic AI, tool calling, prompt orchestration, and multi-agent workflows.
- Hands-on experience with Python and modern backend frameworks such as FastAPI or equivalent.
- Experience with Azure AI services, including Azure AI Foundry, Azure AI Search, Azure OpenAI, or equivalent AI platforms.
- Experience building AI applications using frameworks such as Semantic Kernel, AutoGen, Microsoft Agent Framework, LangGraph, LangChain, or similar orchestration frameworks.
- Strong understanding of enterprise data integration, APIs, vector databases, semantic search, and knowledge management architectures.
- Experience designing AI evaluation, monitoring, observability, and governance strategies.
- Strong understanding of Azure architecture and cloud-native application design.
- Experience implementing CI/CD pipelines and Infrastructure-as-Code.
- Familiarity with cloud security, identity management, RBAC, and enterprise governance principles.
Benefits
- 20+ Paid time off days
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