Senior Applied AI Engineer
Core
Architecting and building GenAI-powered applications for Wealth Management use cases, integrating AI solutions with existing platforms like CRM systems and portfolio management tools.
Role type
Senior Applied AI Engineer (GenAI/LLM)
Builds
GenAI-powered applications for Wealth Management
Domain
Financial Services / Generative AI
Deliverable
production ML models | product features
Required skills
Python, TensorFlow, PyTorch, scikit-learn, GenAI, LLMs (OpenAI, Google Gemini, Anthropic), LangChain, LangGraph, AutoGen, Azure, AWS, GCP, MLflow, Kubeflow, Airflow, Kubernetes, Docker, CI/CD, MLOps, data engineering, model deployment, API integration, microservices, scalable system architecture
Preferred skills
Financial services workflows, data privacy, compliance expectations, mentoring technical teams
Technologies
Airflow, API, AWS Lambda, Azure, CI/CD, Cloud, Copilot, CRM, Docker, GCP, Kubeflow, Kubernetes, Machine Learning, MLflow, MLOps, PyTorch, Python, TensorFlow, microservices
Responsibilities
Contribute to the overall strategy and execution of Wealth Management AI initiatives; architect and build GenAI-powered applications; lead solution development from ideation through prototyping; coordinate with partners to support production rollout and monitoring; integrate AI solutions with existing platforms; work with risk and RAIOps teams to ensure compliance; apply best practices in MLOps, model governance, and responsible AI; document technical designs and support enablement across the organization
Seniority
Senior, hands-on IC with mentorship responsibilities