AI Engineer
Role details
Job location
Tech stack
Job description
We are expanding our AI team as Zenith embarks on a major digital transformation. As part of our AI Center of Excellence, you'll work alongside industry-leading peers to build AI systems that have direct enterprise-wide impact - with access to the latest technology and a clear organizational commitment to getting it right. This is a ground-floor opportunity on a team and initiative that is just getting started. Under general supervision, designs and builds production-grade AI systems for core business use cases. Develops LLM-powered applications, retrieval pipelines, and agentic workflows from design through deployment. Executes complete life cycle for moderately complex AI system components in collaboration with business, product, and data stakeholders. 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
Work Experience
- 3-5 years of related software engineering or data science experience with meaningful time building AI systems required.
Knowledge, Skills, and Abilities
- 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 & conditions
- 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)
- For more information, review details on the Benefits page of our Career Site: https://www.thezenith.com/careers/benefits