AI Engineer

Ceres Life Insurance

79d • $225,000 - $250,000

About The Position

Ceres USA Holdings, LLC, part of the insurance platform within The Westaim Corporation strategy, is the parent company of Ceres Life Insurance—a fast-growing, technology-driven annuity carrier startup. Ceres is focused on redefining retirement security by combining modern fintech capabilities, top-tier talent, and strong vendor partnerships to deliver exceptional annuity solutions and digital experiences. Ceres is deeply committed to a client-centered culture. Through its Digital Contact Center and advisor-facing platforms, the company delivers proactive, personalized, and technology-enabled support that empowers clients and advisors while maintaining the highest standards of trust, security, and regulatory compliance.

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.

Requirements

• 5+ years designing and deploying machine‑learning and generative AI solutions in production
• Strong Python proficiency
• 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.
• Strong analytical mindset with the ability to convey complex AI concepts to non‑technical stakeholders and drive adoption across teams.
• Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field.

Nice To Haves

• Prior experience in insurance, banking, or related domains preferred
• Understanding of annuity products, regulatory constraints, or risk modeling is a plus.

Responsibilities

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

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior