Solutions Architect

Job Summary

A company is looking for a Solutions Architect, Agentic AI.

Key Responsibilities

• Deliver innovative and optimized AI agents using advanced techniques and integrate enterprise data sources into agentic applications
• Develop applications that generate insights from enterprise data, focusing on high-impact solutions like deep research assistants and multi-modal dialogue systems
• Provide feedback on implementations to improve software products and educate teams on AI software solutions

Required Qualifications

• BS, MS, or Ph.D. in Engineering, Mathematics, Physics, Computer Science, Data Science, or equivalent experience
• 5+ years of experience in Deep Learning and Machine Learning, with strong software engineering skills in Python, C/C++, and Linux
• Proficiency in rapid prototyping with a solid understanding of data structures, algorithms, and software engineering principles
• Experience in building advanced multi-agent systems using libraries like LangGraph, LlamaIndex, or CrewAI
• Ability to multitask effectively in a dynamic environment and collaborate with executives and engineering teams