Principal Engineer, Agentic AI

Job Description Summary

This role is at the leading edge of Raymond James AI evolutionbuilding systems that convert the firms collective intelligence into secure adaptive knowledge that serves clients better every day.
This role is at the leading edge of Raymond James AI evolutionbuilding systems that convert the firms collective intelligence into secure adaptive knowledge that serves clients better every day.
Its demanding worktechnically complex mission-critical and transformativebut its work that matters. Youll have the opportunity to shape the systems that define how knowledge flows how teams collaborate and how the firm competes at the top of the industry for years to come.

Job Description

Responsibilities

Raymond James is pioneering a new class of agentic AI systemsintelligent adaptive platforms that continuously learn from firm knowledge and act responsibly to enhance decision-making and client outcomes. These systems will enable real-time knowledge orchestration and insight generation across the enterprise amplifying the collective intelligence of our advisors associates and business units.

As part of the Agentic AI Data Science team you will architect and deliver scalable secure and high-performance agentic solutions using and extending frameworks such as Strands CrewAI LangGraph Agent Core and related technologies. You will help design the foundational infrastructure that allows these systems to learn safely adapt in real time and deliver measurable valueall while operating within the disciplined client-first culture that defines Raymond James.

This is a hands-on engineering role requiring exceptional technical depth strong design judgment and a passion for building systems that are both innovative and enduring. Youll collaborate across engineering data and governance teams to ensure every solution balances speed integrity and long-term impact.

A good understanding of scalable reliable and reusable Agent Harnesses.

Architect and Build Agentic Systems: Design and implement agentic AI architectures capable of reasoning planning and self-adaptation within firm-approved security and compliance boundaries.

• Leverage and Extend Frameworks: Utilize and enhance frameworks such as Strands CrewAI LangGraph and Agent Core to create standardized reusable components that accelerate agentic development across teams.

• Cloud Engineering: Develop secure resilient and scalable cloud-native solutions using AWS services (Lambda ECS S3 API Gateway SageMaker Bedrock etc.) to support production-grade AI operations.

• Monitoring and Evaluation: Implement metrics tracing and evaluation pipelines that ensure transparency reliability and continuous improvement in agentic behavior.

• Integration and Governance: Collaborate with security risk and compliance to embed governance auditability and ethical safeguards into all systems.

• Collaboration: Partner with data science enterprise architecture and application engineering teams to integrate agentic capabilities into firm platforms. Innovation Leadership: Research test and recommend new frameworks and patterns that responsibly advance the firms AI capabilities.

• Ownership: Drive full lifecycle deliveryfrom technical design through deployment and iterationmaintaining high standards of reliability and documentation.

• Other responsibilities as assigned.

Skills

• Proficiency in Python (with experience in TypeScript Go or Java a plus).

• Solid understanding of AWS architecture and servicesdeployment monitoring security and cost optimization.

• Required experience in agentic or LLM frameworks such as Strands CrewAI LangGraph Agent Core or similar.

• Experience with retrieval systems vector databases embeddings and orchestration frameworks.

• Strong grounding in secure API design data modeling and CI/CD automation.

• - Proven record of writing clean testable production-grade code.

• Experience designing tool/function-calling integrations and Model Context Protocol (MCP) servers and connectors.

• Strong prompt and context engineering including agent memory state and session/context management.

• Experience with agent and LLM evaluation guardrails and safety controlshallucination mitigation content filtering and human-in-the-loop oversight.

• Hands-on experience with foundation models via Amazon Bedrock (e.g. Anthropic Claude) including model selection and prompt/parameter tuning for latency and cost.

• Familiarity with multi-agent orchestration and workflow designplanning task decomposition routing tool use and error handling.

• Experience with containerization and orchestration (Docker Kubernetes) for deploying scalable resilient services.

• Knowledge of Terraform for IaC deployments. Hands-on experience with Terraform is a plus.

• OpenTelemetry for Dynatrace and Observability

• Experience with agent performance tuning and cost optimization.

• Experience with time-boxed A2A and Swarm/Crew Agentic solutions

• Deploying large language models on-prem

• Experience with fine-tuning LLMs - nice to have

• Mindset: Deep curiosity bias toward execution and respect for precision and reliability.

• Financial services experience preferred but not required.

Education

Bachelors: Computer and Information Science Bachelors (Required)

Work Experience

General Experience 10 to 15 years

Certifications

Travel

Less than 25%

Workstyle

Hybrid

The total compensation for this position includes base salary or wages and may include components such as additional compensation (cash or equity) discretionary bonuses or commissions. This position is eligible for a benefits package that may include medical dental and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation holidays and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered visit .

At Raymond James our associates use five guiding behaviors (Develop Collaborate Decide Deliver Improve) to deliver on the firms core values of client-first integrity independence and a conservative long-term view.

We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm

At Raymond James as part of our people-first culture we honor value and respect the uniqueness experiences and backgrounds of all of our Associates. When associates bring their best authentic selves our organization clients and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

#LI-SA1