Lead AI and Data Solution Engineer

Company: Jobgether

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-07-01

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead AI and Data Solution Engineer based in United States.
This role offers the opportunity to shape and deliver next-generation AI and data-driven solutions at enterprise scale within a highly complex, mission-critical financial technology environment. You will lead the design and implementation of advanced AI architectures, including large language models and agentic workflows, powering automation and intelligence across core business processes. The position blends hands-on engineering with technical leadership, requiring deep expertise in cloud-native data platforms and modern AI frameworks. You will work on high-impact systems built on massive-scale cloud infrastructure, ensuring performance, security, and regulatory compliance. Collaboration is central, as you will partner with cross-functional teams spanning engineering, risk, compliance, and business stakeholders. This is a highly innovative environment where emerging AI capabilities are actively translated into production-grade solutions. The role is ideal for a builder-leader who thrives at the intersection of AI research, data engineering, and real-world enterprise application.


Accountabilities

  • Lead the architecture, design, development, and deployment of enterprise-scale AI and data solutions aligned with business and technical objectives.
  • Build and optimize advanced AI systems, including large language models and agentic AI workflows for automation, decision support, and enterprise integration.
  • Design and implement scalable orchestration frameworks using tools such as LangChain, LangGraph, and n8n for workflow automation and system connectivity.
  • Develop and manage Model Context Protocol (MCP)-based solutions to improve context handling, interpretability, and production deployment of AI models.
  • Build secure, scalable data pipelines using AWS and Snowfla...

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