The AI Solutions Architect joins the IBM Consulting team to serve as a hands-on technologist and problem-solver. This role involves contributing to the architecture, design, and rapid delivery of complex AI/ML solutions for IC mission programs. The architect must balance immediate mission needs with long-term sustainability, proposing alternative technical approaches to address high-priority gaps. Key responsibilities include developing end-to-end solutions using GenAI, LLMs, RPA, and traditional process improvement techniques. Required skills include knowledge of modern integration patterns like Data Fabric and Data Mesh, as well as experience with Databricks and Snowflake. The role requires a software-agnostic mindset to navigate hybrid environments and the ability to apply User Centric Design principles to solve technical problems within secure, high-stakes National Security or Defense sectors.
Artificial Intelligence
Machine Learning
Deep Learning
Large Language Models (LLMs)
Agentic AI
DevSecOps
CI/CD
Containerization
Orchestration
Software Design Patterns
Automated Testing
Model Context Protocol (MCP)