Artificial Intelligence Engineer

Title: AI Consultant (W2 Only)

Duration: 9+ Months Contract to hire role(100% remote till contract and Hybrid model once converted to Fulltime)

Client Location: Saint Petersburg, FL

Essential Duties and Responsibilities

• 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 firm’s AI capabilities.

• Ownership: Drive full lifecycle delivery—from technical design through deployment and iteration—maintaining high standards of reliability and documentation.

Other responsibilities as assigned.

AI/Agentic Developer to help build the organization's core Agentic AI Framework and Infrastructure on AWS. This framework will serve as the foundation for multiple internal teams to develop enterprise AI use cases such as portfolio analysis, financial modeling, and other business applications.

The primary challenge in previous hiring efforts was that candidates lacked real-world production experience with Agentic AI frameworks and had only experimented with them in personal or proof-of-concept environments. The hiring manager now requires candidates with at least one year of hands-on production experience building agentic systems .