3 days ago
Dallas, TX, USAStaff+

Base Salary

$175k - $230k/yr

Responsibilities

  • Own and drive technical architecture for complex initiatives across web applications, backend services, integration pipelines, and data platforms.
  • Design and build reusable data architectures, APIs, data contracts, transformations, and integrations across internal and external systems.
  • Develop and maintain scalable, high-performance web applications and distributed cloud-native services.
  • Architect and integrate agentic AI workflows, autonomous agents, LLM-driven automation, and AI copilots into engineering and product systems.
  • Set organization-wide engineering standards for code quality, system design, testing, deployment, and responsible AI-assisted development.
  • Lead technical design reviews, provide architectural guidance, and influence technical direction across multiple engineering teams.
  • Translate business strategy and client needs into scalable technical roadmaps, solution options, trade-offs, and delivery approaches.
  • Identify and resolve systemic performance, reliability, and scalability issues across the technology stack.
  • Mentor and coach senior and mid-level engineers across full-stack and AI engineering practices.
  • Evaluate emerging technologies, particularly agentic AI and automation, for business applicability.

Requirements

  • Bachelor's degree in Computer Science, Engineering, MIS, or a related field is preferred.
  • 12+ years of software engineering experience, including architecting full-stack web applications at scale.
  • Experience with data modeling, ETL/ELT pipelines, event-driven architectures, and API-based integrations across internal and third-party systems.
  • Strong database design experience with relational SQL and NoSQL data stores.
  • Strong experience with Azure, AWS, or GCP and cloud-native architecture patterns.
  • Deep understanding of distributed systems, microservices architecture, and API design using REST or GraphQL.
  • Hands-on experience with modern JavaScript or TypeScript frameworks such as React and Next.js and backend languages such as C#, Node.js, or Java.
  • Hands-on experience building or integrating agentic AI systems, LLM-powered applications, or AI agent orchestration frameworks such as LangChain, AutoGen, Semantic Kernel, or MCP.
  • Track record leading large-scale technical initiatives across multiple teams and mentoring engineers without direct reporting authority.
  • Preferred experience includes LLM-powered applications, AI agent orchestration, tool-calling architectures, retrieval-augmented generation pipelines, event-driven real-time processing, CI/CD, infrastructure as code, Docker, Kubernetes, and relevant commercial real estate, fintech, or operations systems experience.
  • Preferred technical thought leadership through speaking, writing, or open-source contributions, especially in applied AI.

Benefits

  • Health, vision, and dental insurance.
  • Paid time off.
  • 401(k) retirement plan with employer matching.
  • Competitive benefits package and normal working conditions.
Cantor Fitzgerald / BGC Partners

About Cantor Fitzgerald / BGC Partners

1,001-5,000 employees
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