Forward Deployed AI Engineer – Architect of Intelligence
RemoteColombia
Job Summary
Co-create GenAI and agentic AI solutions with stakeholders through workshops, rapid iterations, and hands-on delivery. Locate, qualify, and secure data access while translating use cases into production-ready architectures including RAG and intelligent assistants. Prototype, test, deploy, and monitor solutions in real client environments using feedback from domain experts. Balance speed, quality, cost, security, and maintainability to define success criteria covering adoption, performance, and measurable business value. Ensure solutions are documented, governed, and transferable, then turn successful delivery into reusable patterns and building blocks. Work with Data Engineers, Software Engineers, and Governance experts to deliver sustainable outcomes in complex, evolving environments.
Required Qualifications
- Typically 5-10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting
- Hands-on experience delivering AI, GenAI, or software solutions into production
- Experience working directly with clients or in complex stakeholder environments
- Evidence of turning complex use cases into adopted measurable solutions
- A degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field - or equivalent practical experience
- Strong Python development skills
- API integration experience
- modern software-engineering practices
- Hands-on experience with Large Language Models, GenAI architectures, prompt workflows, and model/provider selection
- Experience with RAG, embeddings, vector search, AI agents, and agentic workflows
- Familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools
- Experience integrating AI into enterprise systems, APIs, and business workflows
- Experience with at least one major cloud platform: Azure, AWS, or GCP
- Working knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation
- Understanding of MLOps / LLMOps, security, data privacy, governance, and responsible AI principles
Desired Qualifications
- Experience with multimodal models, fine-tuning, model adaptation, or open-source LLMs
- Front-end or full-stack development experience, for example, Node.js or React
- Consulting or professional-services experience
- Exposure to regulated industries or enterprise governance requirements
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.