Senior Artificial Intelligence Engineer (AI Engineer)
Must-have:PythonCloudDataAISecurityLead
What You'll Do
- Design and build AI-powered solutions for investment operations and wealth management
- Develop Agentic AI, RAG architectures, knowledge retrieval systems, and workflow automation
- Lead AI application architecture, solution design, and technical decision-making
- Integrate LLMs with enterprise platforms, data sources, and business systems
- Implement AI observability, governance, evaluation, security, and monitoring capabilities
- Partner with domain SMEs to translate business requirements into scalable AI solutions
- Mentor AI engineers and support customer implementations and production deployments
What We're Looking For
- 7-10+ years of overall software engineering experience
- 3+ years of hands-on GenAI and AI Engineering experience
- Proven track record of delivering production-grade AI solutions at scale
- Expertise in AI Engineering, LLMs, Agent Frameworks, RAG, Python, and Cloud-Native Development
Strong experience in:
- Enterprise Software Architecture
- Data Engineering & MLOps
- API & System Integrations
- Security, IAM, and AI Governance
- Production-scale AI deployments
Domain knowledge in:
- Investment Operations
- Portfolio Management Workflows
- Trading & Fund Accounting Concepts
GenAI, AI Engineering, LLMs, Agent Frameworks, RAG, Python, Cloud-Native Development, AI Governance, Agentic AI, AI products, copilots, Enterprise Software Architecture, Data Engineering, MLOps, IAM, AI Governance, AI deployments