AI Data Engineer

AI Data Engineer This role supports SLC Management’s continued investment in artificial intelligence and machine learning to drive data-informed decision-making across global portfolios. The selected professional will take a senior position in a team responsible for designing and deploying advanced AI/ML systems with applications in investment research, risk management, and portfolio optimization. This is an opportunity to join a collaborative and forward-thinking environment at the intersection of finance, insurance, and technology—where innovation meets real-world impact. What is in it for you: • Salaried: $78-82 per hour. • Incorporated Business Rate: $92-96 per hour. • 12-month contract. • Full-time position: 37.50 hours per week. • Work schedule from 9 am to 5 pm. • Hybrid work: 3 days per week in-office. Responsibilities: • Develop and implement advanced AI/ML models to support asset management objectives. • Translate business and investment requirements into scalable AI solutions. • Build and maintain secure, production-ready data pipelines in collaboration with the data platform team. • Partner with cloud engineers to evaluate and apply emerging AI technologies. • Provide technical leadership and mentorship to junior team members. • Ensure scalability, efficiency, and reliability of deployed solutions. • Contribute to the development of governance frameworks to align with compliance and regulatory standards. What you will need to succeed: • Bachelor’s or Master’s degree in Computer Science or a related technical field. • Strong knowledge of AWS Bedrock • Experience working with tools like n8n and Open WebUI, M365 Copilot studio 3. Building EKS based Python Streamlit / .NET Core Blazor application for chat interface 4. Agentic AI and knowledge of building MCP servers • 8+ years of experience in data-focused organizations, including 4+ years working with cloud-native technologies. • 5+ years of hands-on experience designing and implementing AI/ML solutions, preferably within the asset management or financial services industry. • Proficient in Python and experienced with ML frameworks such as TensorFlow, PyTorch, and Keras. • Strong background in cloud platforms and infrastructure, including AWS, Azure, Snowflake, and Oracle. • Expertise in LLMs, embedding models, and agent-based AI architectures (e.g., multi-agent, RAG-CAG frameworks). • Skilled in building scalable data pipelines and deploying production-ready ML systems. • Familiarity with modern digital and CRM technologies. • Proven ability to collaborate across cross-functional teams and manage stakeholder priorities. • Strong leadership, communication, and strategic decision-making abilities. Why Recruit Action? Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted. # SLFJP00005364