AI Engineer

Role Description

Reporting to the Chief Innovation Officer and working alongside the Head of Data Analytics and Head of Data Engineering, the Artificial Intelligence Engineer will design, develop, and deploy generative AI and machine‑learning solutions across Ceres Life’s core pipelines and customer‑facing tools. You will embed NLP/LLM capabilities for agent portals, application and onboarding, customer service chatbots, and predictive models, ensuring our AI initiatives deliver measurable business value and operational efficiency.

Key Responsibilities

• Generative AI & ML Development
  • Model Selection & Fine‑Tuning: Evaluate, select, and fine‑tune large language models and specialty AI frameworks (e.g., LLMs for document summarization, transformers for risk scoring).
  • Prompt Engineering: Craft and optimize prompts for diverse use cases—automated eApp summarization, policy recommendation engines, conversational assistants.
  • MLOps & Deployment: Build reproducible, scalable pipelines for model training, validation, monitoring, and versioning using tools like MLflow, Kubeflow, or SageMaker.
• Integration & Automation
  • API Development: Create robust APIs and microservices to surface AI capabilities (chatbots, document ingestion, predictive alerts) within the agent portal and internal dashboards.
  • Workflow Automation: Partner with Operations & Customer Experience to automate tasks such as licensing checks, claims triage, and commission forecasting using AI‑driven workflows.
  • Continuous Improvement: Instrument A/B tests and performance metrics to monitor model accuracy, latency, and user satisfaction; iterate on models and prompts accordingly.
• Cross‑Functional Collaboration
  • Data Partnership: Work closely with Data Engineering and Analytics teams to ensure high‑quality feature engineering, data preprocessing, and real‑time data access.
  • Stakeholder Engagement: Translate technical possibilities into clear business cases for product, CX, and risk teams; present AI proofs‑of‑concept at Technology & Innovation Committee meetings.
  • Ethics & Compliance: Embed AI governance practices—bias mitigation, privacy controls, audit trails—in accordance with industry regulations and internal policies.

Qualifications

• 5+ years designing and deploying machine‑learning and generative AI solutions in production; strong Python proficiency and experience with PyTorch or TensorFlow.
• Hands‑on experience working with large language models (e.g., OpenAI, Anthropic, or open‑source alternatives), prompt engineering, and transformer architectures.
• Familiarity with CI/CD for ML, containerization (Docker/Kubernetes), and monitoring frameworks.
• Prior experience in insurance, banking, or related domains preferred—understanding of annuity products, regulatory constraints, or risk modeling is a plus.
• Strong analytical mindset with the ability to convey complex AI concepts to non‑technical stakeholders and drive adoption across teams.

Education

• Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field.

Benefits

• Lead end‑to‑end AI initiatives in a high‑visibility role, shaping Ceres Life’s future as an insurtech pioneer.
• Partner with seasoned executives and cross‑functional experts to deliver impactful AI solutions.
• Build the AI engineering function from the ground up, with opportunities for leadership and influence.
• Work with the latest LLMs, MLOps tools, and cloud platforms to revolutionize the insurance experience.

Location

United States (Remote)

Department

Technology

Employment Type

Full-Time

Minimum Experience

Experienced

Compensation

225,000-250,000