Applied AI Engineer – GenAI Systems
Core
Design and build end-to-end GenAI and ML solutions for Finance, Treasury, and Actuarial teams, integrating them into real business workflows with a focus on governance and reliability.
Role type
Senior Applied AI Engineer (GenAI/ML)
Builds
Production-ready GenAI and ML systems (RAG, summarization, forecasting, anomaly detection) for financial decision-making
Domain
Financial Services / Generative AI / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, GenAI (RAG, LLMs, agentic workflows), ML modeling (forecasting, NLP, optimization), software engineering practices, solution architecture design, model evaluation and backtesting, production monitoring (drift, data quality)
Preferred skills
Cloud ML stacks (CI/CD, model registry), vector databases, orchestration frameworks (LangChain, Semantic Kernel), Finance/Actuarial domain knowledge, GenAI guardrails implementation (via careerplan.io/jobs/JR26011913-1-applied-ai-engineer-genai-systems-at-manulife)
Technologies
Python, SQL, PyTorch, TensorFlow, Spark, Databricks, RAG, LLMs, Vector Databases, LangChain, Semantic Kernel
Responsibilities
Translate business problems into system designs with clear data and runtime flows; Develop and evaluate ML/GenAI models for specific use cases; Collaborate on productionizing solutions including pipelines, deployment, and monitoring; Create documentation and evidence for model risk review and governance; Mentor junior scientists on design and evaluation practices
Seniority
Senior, hands-on IC with mentorship responsibilities
