AI Solutions Architect TS/SCI w/Full Scope Poly

Role Overview

The AI Solutions Architect at IBM is a hands-on technologist and technical problem-solver who collaborates with team members to deepen architectural expertise and contribute to the design and rapid delivery of complex AI/ML solutions for IC mission programs.

Required Technical And Professional Expertise

• Clearance & Logistics: US Citizenship and an approved, active Top Secret/SCI with Full-Scope Polygraph clearance are required on day one. Ability to sit regularly at IBM or customer worksites in the Washington, DC Metro Area.
• Cognitive Flexibility & Innovation: 5+ years of experience designing and implementing data and AI/ML solutions with the ability to adapt thinking and approaches to solve complex mission challenges.
• Agnostic Technical Mastery: Experience contributing to end-to-end AI solutions using a range of technologies including GenAI, LLMs, RPA, and traditional process improvement techniques.
• Architectural Foundations: Strong knowledge of modern integration patterns, including Data Fabric, Data Mesh, with experience deploying solutions across major providers and hybrid environments.
• User-Centric Architecture: Demonstrated experience applying User Centric Design principles to technical architecture, ensuring that the "80% solution" is built specifically to address the end-user's cognitive load and mission environment.
• Mission-Driven Communication: Ability to operate in high-stakes environments and communicate technical trade-offs clearly to technical teams and mission stakeholders.

Preferred Technical And Professional Experience

• IC Sector Experience: 3+ years within the last 5 years supporting or architecting systems for the National Security or Defense sector, with exposure to air-gapped delivery and secure AI requirements.
• Continuous Evolution Mindset: Experience contributing to solutions designed with future scalability and adaptability in mind, ensuring that rapid prototypes can transition into production capabilities as mission requirements evolve.
• Technical Polymathy: Experience working with modern data and AI platforms such as Databricks and Snowflake, while maintaining a software-agnostic approach and the ability to recommend alternative tools when mission requirements dictate.