AWS Solution Architect for Agentic AI & Knowledge Graphs
Truist
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Benefits offered by this job
Job summary
Truist is seeking an experienced AWS Solution Architect to design, deploy, and operate production-scale Agentic AI platforms. This role focuses on autonomous agents, knowledge graphs, memory persistence, and enterprise data integration to enable intelligent automation and decision-making.
The candidate will collaborate with engineering, data security, and business teams to define scalable patterns, governance, and production operations for enterprise AI initiatives.
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or related field.
- 7+ years of professional software development experience.
- Deep knowledge of multiple programming languages, architecture, and design principles.
- Strong understanding of SDLC, testing, deployment, and security practices.
Responsibilities
- Design and architect production-grade Agentic AI solutions on AWS.
- Build autonomous, multi-agent systems with planning, reasoning, and tool usage.
- Develop enterprise knowledge architectures using knowledge graphs, vector stores, memory frameworks.
- Implement memory architectures: short/long-term, semantic, episodic memory and persistence.
- Establish agent orchestration patterns and production deployment/patterns with governance.
Skills
Education
Tools
Job description
Truist is seeking an experienced AWS Solution Architect to design, deploy, and operate production-scale Agentic AI platforms. This role focuses on autonomous agents, knowledge graphs, memory persistence, and enterprise data integration to enable intelligent automation and decision-making.
The candidate will collaborate with engineering, data security, and business teams to define scalable patterns, governance, and production operations for enterprise AI initiatives.
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