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Cetera Financial Group Logo

Senior AI Engineer - Generative AI & Applied Innovation - Financial Services

Cetera Financial Group

$156,000 - $196,000
Aug 27, 2025
San Diego, CA, USA • El Segundo, CA, USA
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Transforming financial services through Generative AI

Requirements

  • Design and implement GenAI solutions (e.g., LLMs, RAG pipelines, copilots) to address business challenges in financial services.
  • Build and maintain scalable ML pipelines and APIs using modern frameworks and cloud-native tools.
  • Rapidly prototype and iterate on AI models using platforms such as OpenAI, Azure OpenAI, Hugging Face, and LangChain.
  • Contribute to reusable AI components and internal libraries that align with enterprise architecture and governance.
  • Support the Director of AI Program Strategy in aligning engineering efforts with strategic goals and governance frameworks.
  • Partner with data engineers and MLOps teams to ensure robust deployment, monitoring, and lifecycle management of AI models.
  • Document and share best practices, technical learnings, and reusable assets across the AI engineering community.

Responsibilities

  • Design and implement GenAI solutions (e.g., LLMs, RAG pipelines, copilots) to address business challenges in financial services.
  • Collaborate with AI program leadership, product managers, and LOB stakeholders to identify, scope, and prioritize AI use cases.
  • Build and maintain scalable ML pipelines and APIs using modern frameworks and cloud-native tools.
  • Rapidly prototype and iterate on AI models using platforms such as OpenAI, Azure OpenAI, Hugging Face, and LangChain.
  • Contribute to reusable AI components and internal libraries that align with enterprise architecture and governance.
  • Support the Director of AI Program Strategy in aligning engineering efforts with strategic goals and governance frameworks.
  • Partner with data engineers and MLOps teams to ensure robust deployment, monitoring, and lifecycle management of AI models.

Other

  • Deep understanding of business processes and how AI can be applied to improve them.
  • Pragmatic and collaborative, with the ability to build trust across business and technical teams.
  • High standards of integrity and accountability in technical decision-making.
  • Exceptional problem-solving skills and a bias for action.
  • Comfortable navigating ambiguity and creating structure where none exists.