Join a high-impact AI engineering team building the next generation of intelligent enterprise solutions in a greenfield environment. This role is focused on designing and delivering agentic AI capabilities that can scale across the organization and support meaningful business outcomes in financial services.

Responsibilities

• Design, develop, and deploy AI agents and agent-driven workflows to solve complex enterprise challenges.
• Build scalable solutions using large language models, retrieval-augmented generation, orchestration frameworks, and autonomous agent patterns.
• Create multi-step AI workflows that integrate with APIs, enterprise systems, and business processes.
• Partner with product, engineering, and business stakeholders to identify AI opportunities and deliver production-ready solutions.
• Evaluate emerging AI tools and frameworks to improve delivery speed, solution quality, and overall effectiveness.
• Ensure solutions are built with enterprise needs in mind, including scalability, security, performance, and maintainability.
• Lead AI and machine learning initiatives from concept through deployment, with a strong focus on business alignment.
• Mentor engineers and data science team members while promoting thoughtful technical decision-making and innovation.

Skills

• 10+ years of experience in AI, machine learning, and/or data science.
• Hands-on experience building and deploying agentic AI solutions in enterprise settings.
• Strong understanding of LLMs, prompt engineering, orchestration, tool calling, memory management, and agent architectures.
• Experience with Microsoft Fabric and deploying AI agents on Azure AI Foundry.
• Solid software engineering foundation with experience in API integration, system design, and application development.
• Ability to think strategically, communicate clearly, and present solution architecture to stakeholders.
• Experience working in or supporting financial services, with asset management experience preferred.
• Hands-on experience with AI-assisted development platforms such as Claude Code, GitHub Copilot, Cursor, Windsurf, or Slingshot.

Preferred Skills

• Experience with agent orchestration and observability frameworks such as LangGraph, LangChain, or LangSmith.
• Familiarity with cloud-native AI architecture and MLOps best practices.
• Experience integrating AI solutions with enterprise data platforms and business applications.
• Background in NLP, computer vision, reinforcement learning, or similar AI disciplines.
• Strong programming skills in Python, R, or Java.
• Experience driving AI-enabled business transformation and model governance.
• Ability to collaborate effectively with diverse teams and contribute to an inclusive, respectful, and welcoming work environment.

Horizontal is committed to diversity, equity, and inclusion, and welcomes candidates of all backgrounds, experiences, and perspectives. We believe inclusive teams build better solutions, and we’re dedicated to creating an environment where everyone can contribute and thrive.