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    Job · 22004105

    Nexedge Capital logo

    Senior AI Engineer

    Nexedge Capital · Delhi · onsite · Posted 7d ago

    Not disclosed5–7 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    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 a Senior AI Engineer 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:

    • 5+ years of total experience with 3+ years in AI/ML solution architecture or leadership
    • Proven background in AI/ML engineering (Python, TensorFlow, PyTorch, LangChain, RAG, vector databases)
    • Strong knowledge of financial data systems — portfolio analytics, client profiling, recommendation engines
    • Hands-on experience integrating LLMs (OpenAI, Gemini, Claude, Hugging Face models) into real-world applications
    • Experience with cloud-native AI (AWS, Azure, or GCP) and MLOps pipelines
    • Familiarity with regulatory frameworks in BFSI / WealthTech (data protection, AI explainability, SEBI cyber norms)
    • Excellent communication and stakeholder management — capable of translating complex AI concepts into business outcomes

    Why Join Us:

    • Be at the forefront of AI transformation in private wealth management.
    • Build the first AI-native advisory and client interaction platform in India's wealth ecosystem.
    • Work with senior leadership, quants, and investment strategists driving the future of digital advisory.
    • Competitive compensation, innovation-driven environment, and hybrid work flexibility.

    Immediate Joiners shall be given priority

    Sourced from foundit

    Skills

    claudegoogle cloud platformamazon web servicesgeminiPortfolio Analyticsvector databasesRAG PipelinesLarge Language Models (LLMs)OpenAI SDKPytorchTensorflowcloud-native AIModel governanceRecommendation enginesexplainabilityHugging Face modelsMLOps pipelinesprivacy compliancefinancial data systemsPythonRegulatory ComplianceMicrosoft AzureLangchainArtificial IntelligenceMachine Learningsecure data architectureClient Profiling

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