Senior Agentic AI Engineer — Architect Real-Time Knowledge

Raymond James; Saint Petersburg (FL); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Disability benefits

Retirement savings plan

Paid time off

Job summary

Raymond James is actively developing agentic AI systems that learn from firm knowledge to improve client outcomes. This hybrid role blends hands-on engineering with scalable infrastructure, emphasizing secure, high-performance solutions.

You will architect, implement, and evaluate AI systems using leading frameworks, collaborate with security and governance teams, and own delivery from concept to production.

Qualifications

• BS in Computer Science or related field.
• 10–15 years of general work experience in software or AI engineering.
• Experience with agentic AI, LLMs, and secure, compliant architectures.
• Proven ability to design, build, and operate scalable AI systems.

Responsibilities

• Architect and deliver agentic AI architectures for reasoning, planning, and adaptation.
• Extend frameworks like Strands, CrewAI, LangGraph, and Agent Core.
• Develop cloud-native AI ops using AWS—secure, scalable, cost-aware.
• Collaborate across data, security, governance to ensure ethics, auditability.
• Lead end-to-end delivery from design through deployment and iteration.

Skills

Python

AWS

Agentic AI frameworks

LLM / Retrieval systems

CI/CD

Containerization

Terraform

Security & governance

Prompt engineering

Multi-agent orchestration

Education

Bachelor’s: Computer and Information Science

Tools

Docker

Kubernetes

Terraform

SageMaker / Bedrock

Job description

Raymond James is actively developing agentic AI systems that learn from firm knowledge to improve client outcomes. This hybrid role blends hands-on engineering with scalable infrastructure, emphasizing secure, high-performance solutions.

You will architect, implement, and evaluate AI systems using leading frameworks, collaborate with security and governance teams, and own delivery from concept to production.