AI Solution Architect

• Design end-to-end AI solutions including Generative AI applications, LLM-powered workflows, intelligent agents, RAG solutions, virtual assistants and intelligent automation
• Translate business requirements into technical architectures, selecting models, services, data sources, integrations and infrastructure
• Build and validate prototypes and proofs of concept
• Collaborate with AI engineers, software engineers, data scientists and data engineers to move solutions from prototype to production
• Design agentic solutions involving tool calling, orchestration, memory, retrieval and human-in-the-loop patterns
• Integrate AI solutions with enterprise applications, APIs, data platforms, vector databases and cloud services
• Build reusable AI components, services, APIs and architectural patterns
• Evaluate and recommend AI models, frameworks and platforms based on performance, scalability, security and cost
• Embed Responsible AI, security, privacy and compliance into designs with relevant enterprise teams
• Help establish evaluation, monitoring, observability and LLMOps practices
• Document architectures, technical decisions, integration patterns and implementation guidance
• Track developments in Generative AI, agentic AI and cloud AI platforms and identify meaningful applications

• Bachelor’s degree in Computer Science, Software Engineering, Systems Engineering, Data Science, AI or a related field, or equivalent experience
• 6+ years in software engineering, solution or cloud engineering, data/AI engineering or solution architecture
• Hands-on experience designing and building AI/ML or Generative AI solutions
• Solid working knowledge of LLMs, prompt engineering, RAG, embeddings, vector search and AI agents
• Experience with Microsoft Azure and/or AWS
• Experience designing and integrating APIs, microservices and cloud-native applications
• Strong Python skills and ability to build prototypes and reference implementations
• Good command of version control, testing, CI/CD and DevOps
• Awareness of AI security, data privacy, Responsible AI and governance in enterprise settings
• Strong analytical skills and ability to explain technical trade-offs to technical and non-technical audiences
• Experience working with multidisciplinary, distributed teams
• Fluent English (written and spoken) and Spanish
• Portuguese is a plus
• Nice-to-have experience with Azure AI Foundry/Azure OpenAI, AWS Bedrock or similar enterprise GenAI platforms
• Nice-to-have experience with LangGraph, LangChain, Semantic Kernel, AutoGen or CrewAI
• Nice-to-have end-to-end RAG implementation experience
• Nice-to-have Azure AI Search or other vector database/enterprise search experience
• Nice-to-have LLMOps experience
• Nice-to-have modern data platform experience such as Snowflake
• Nice-to-have containers, Kubernetes and infrastructure as code experience
• Nice-to-have experience in healthcare, life sciences, MedTech, financial services or other regulated industries
• Nice-to-have cloud, AI or architecture certifications

• Work on AI solutions that reach production in a regulated, high-impact industry
• Collaborate with global teams and a client investing in scaling AI responsibly
• Grow toward ownership of architecture decisions and reusable AI standards
• Join a company that puts AI at the center of how it delivers technology