Lead AI Systems Engineer

Company Description

Nexedge Capital is a distinguished wealth management and multi-family office firm dedicated to building trusted, long-term partnerships with ultra-high net-worth individuals, families, and corporates. With decades of collective expertise, Nexedge offers a comprehensive ecosystem combining financial investments, portfolio management, estate planning, and global mobility, all meticulously curated to meet evolving goals. Committed to integrity and transparency, we employ an open-architecture approach with unbiased product evaluation, delivering personalized, technology-driven wealth solutions. Trusted by 1,000+ UHNI families and having managed assets exceeding $10 billion, Nexedge empowers clients to cultivate enduring legacies, fostering multi-generational prosperity through values of stewardship and prudent wealth management.

Location : Delhi

Role Description

We are looking for an AI Engineering Lead to spearhead the design, development, and deployment of advanced AI, data, and automation solutions that redefine client experience, advisory intelligence, and operational efficiency in wealth management.

You will lead a cross-functional team of engineers, data scientists, and solution architects to build scalable, secure, and compliant AI systems — powering AI assistants, advisor intelligence platforms, and predictive analytics engines .

Qualifications :

• Lead architecture, design, and deployment of AI / ML models for personalization, advisory automation, and risk analytics.
• Build and scale multi-agent and multi-modal AI systems — enabling natural language interaction across voice, chat, and dashboard interfaces.
• Collaborate with product, portfolio, and research teams to translate investment intelligence into actionable AI features.
• Integrate GenAI, LLMs, and RAG pipelines with wealth data sources (CRM, portfolio systems, research reports).
• Oversee model governance, explainability, and regulatory compliance in line with SEBI / RBI guidelines.
• Partner with cybersecurity and data teams to ensure secure data architecture and privacy compliance .
• Lead vendor evaluations and implementation for AI frameworks, cloud platforms, and data pipelines.
• Mentor AI engineers and analysts;

create an innovation-driven engineering culture

Ideal Candidate Profile :

Why Join Us :

Immediate Joiners shall be given priority