Hybrid AI Engineer

at Zenith Insurance Company (United States)

• Job title: AI Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $99,454 - $124,317 per year
• Degree requirement: High School Diploma
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Python, PyTorch, Scikit-Learn, SQL
• Location requirements: Hybrid, Woodland Hills, United States

About the role

• AI Engineer working on LLM-powered applications and AI systems at Zenith Insurance Company. Collaborating with teams to innovate and improve AI solutions in insurance and financial services.

Responsibilities

• Understand assignments and work independently for extended periods on AI system design and implementation tasks.
• Design, build, and maintain LLM-powered applications for business workflows including risk summarization, document extraction, and decision-support tools.
• Architect and maintain RAG pipelines, vector stores, and retrieval systems grounded in enterprise data.
• Develop and orchestrate multi-step agentic systems using frameworks such as LangChain, LlamaIndex, or custom toolchains.
• Define and run evaluation frameworks to measure output quality, reliability, and safety of AI systems in production, and instrument prompts, model calls, and system traces for observability and continuous improvement.
• Collaborate with subject matter experts to iterate on system behavior, feedback loops, and edge case handling.
• Work productively and harmoniously with others on a consistent basis.
• Respond positively to direction and feedback on performance.
• Consistently maintain professional and appropriate demeanor.
• Perform other duties/projects as assigned.

Requirements

• High School Diploma or equivalent combination of training/experience required
• Bachelor’s Degree or equivalent combination of training/experience required
• Masters degree preferred
• 3-5 years of related software engineering or data science experience with meaningful time building AI systems required.
• Solid Python and SQL fundamentals; comfortable with API design (FastAPI/REST) and cloud deployments (Azure, AWS, GCP); expert IDE and notebook-based development.
• Hands-on experience building and deploying LLM applications in production (OpenAI, Anthropic, Gemini, or equivalent APIs).
• Proficiency with RAG architectures, vector databases (Pinecone, Weaviate, pgvector, Azure AI Search), vector search optimizations, and embedding workflows.
• Experience with agentic frameworks and tool-use/function-calling patterns (LangChain, LangGraph, LlamaIndex, or custom orchestration).
• Strong analytical and problem solving skills applied to complex, ambiguous AI system design challenges.
• Excellent written and verbal communication skills; ability to work across technical and non-technical teams, stakeholders, and decision makers.
• Team player, self-starter, motivated, problem solving mentality.
• Ability to focus and prioritize work requirements, strong strategic and tactical mindset.
• Stays current and evaluates latest emerging AI/ML technology for incorporation in AI solutions.
• Data science or machine learning background (scikit-learn, XGBoost, PyTorch) - Preferred.
• Familiarity with insurance, underwriting, or financial services domains - Preferred.
• Familiarity with data platforms like Databricks or Snowflake - Preferred.
• Familiarity with ethical AI best practices, and AI and data regulatory fundamentals - Preferred.

Benefits

• Medical, Dental and Vision Insurance
• Flexible Spending Accounts
• Paid Parental Leave
• Life, AD&D and Disability Insurance
• 401(k), Employee Share Purchase Plan (ESPP)
• Education and Training Reimbursement
• Paid Leave: 3 weeks/year
• Vacation, 2 weeks/year
• Sick Leave 10 paid Company Holidays, 2 Personal Days, 2 Floating Holidays
• Employee Assistance Program (EAP)