Senior Applied AI Engineer
Core
Designing, developing, and deploying advanced Gen AI and machine learning solutions to drive business value in Wealth Management by enhancing advisor workflows and client engagement.
Role type
Senior Applied AI Engineer (Gen AI & ML)
Builds
GenAI-powered applications and agent-based systems for Wealth Management use cases.
Domain
Financial Services / Wealth Management
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, scikit-learn, Copilot Studio Agents, GenAI, LLMs (OpenAI, Google Gemini, Anthropic), agent orchestration (LangChain, LangGraph, AutoGen), Azure, AWS, GCP, MLOps (MLflow, Kubeflow, Airflow), Kubernetes, Docker, CI/CD, data engineering, model deployment, monitoring, API integration, microservices, scalable system architecture.
Preferred skills
Financial services workflows, data privacy, compliance requirements.
Technologies
Azure, AWS, GCP, SageMaker, S3, Lambda, Azure Functions, Azure ML, Blob Storage, Kubeflow, Airflow, MLflow, LangChain, LangGraph, AutoGen, Copilot Studio.
Responsibilities
Contribute to Wealth Management AI strategy formulation and execution; Architect and build GenAI-powered applications; Liaise with technology teams to build and deploy Gen AI solutions; Lead solution development from ideation to prototyping and production; Collaborate with stakeholders to translate requirements into technical solutions; Integrate AI solutions with existing platforms (CRM, portfolio management, data warehouses); Ensure AI solutions meet performance, security, and regulatory standards with risk and RAIOps teams; Leverage best practices in MLOps, model governance, and responsible AI.
Seniority
Senior, hands-on IC with leadership/mentorship