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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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Summary
Full Job Description
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.