AI Engineer

Zenith Insurance Company (United States)

. Understand assignments and work independently for extended periods on AI system design and implementation tasks.

Posted 4/21/2026full-timeWoodland Hills • California • 🇺🇸 United StatesMid-LevelSenior💰 $99,454 - $124,317 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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)

ATS Keywords

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Hard Skills & Tools

PythonSQLAPI designFastAPIRESTcloud deploymentsAzureAWSGCPLLM applications

Soft Skills

analytical skillsproblem solvingwritten communicationverbal communicationteam playerself-startermotivatedstrategic mindsettactical mindsetability to focus

Certifications

High School DiplomaBachelor’s DegreeMaster’s Degree