AI Solutions Architect & Hands-on AI Engineer

This is remote role for US applicants only. Preferred Dallas

Role Overview

Lead enterprise AI solutioning from discovery through implementation, combining customer consulting, AI architecture, and hands-on engineering to deliver scalable GenAI and Agentic AI solutions.

Key Responsibilities

• Lead customer discovery, ask probing questions, and translate business needs into AI solutions.
• Design AI architectures using LLMs, RAG, AI agents, vector databases, and cloud platforms.
• Build production AI applications using Python and modern AI frameworks.
• Integrate AI solutions with Salesforce, CRM/ERP, APIs, and enterprise data platforms.
• Continuously improve LLM performance through prompt engineering, RAG optimization, evaluation, and feedback loops.
• Support demos, PoCs, technical workshops, and mentor engineering teams.

Qualifications

• 8+ years in software engineering; 3+ years delivering enterprise AI solutions.
• Strong Python, APIs, cloud platforms (Azure/AWS/GCP), and AI frameworks (LangChain, LangGraph, CrewAI, Semantic Kernel).
• Experience with OpenAI, Claude, Gemini or similar LLMs, vector databases, and RAG.
• Excellent solutioning, communication, and customer-facing consulting skills.

Success Measures

• Deliver scalable AI solutions with measurable business value.
• Improve LLM accuracy, reliability, and adoption.
• Accelerate implementations using reusable AI frameworks and best practices.