Full Time Lead AI Engineer Jobs, in Ambition - Maukerja

Our client, a leading and well-established financial services organization, is developing a next-generation AI-driven content platform designed to deliver intelligent trading insights and personalized financial experiences. They are seeking a Lead AI Engineer to drive the design, development, and deployment of cutting-edge AI solutions within a highly regulated environment.

This is a senior leadership role suited for a hands-on AI expert with deep experience in large language models (LLMs), open-source AI technologies, recommendation systems, and scalable machine learning platforms. The successful candidate will play a pivotal role in shaping AI strategy, architecture, and innovation while leading the delivery of production-grade AI applications.

Key Responsibilities

AI Solution Design & Development

• Lead the development and optimization of advanced AI solutions, including large language models (LLMs), multimodal AI systems, and generative AI applications focused on trading and financial content.
• Design and implement intelligent personalization engines that deliver relevant content, insights, and recommendations based on user behavior and preferences.
• Develop scalable search and recommendation systems utilizing techniques such as graph analytics, embeddings, vector search, and behavioral modeling.

AI Platform Architecture & Engineering

• Architect, build, and manage end-to-end AI/ML platforms spanning data ingestion, feature engineering, model training, fine-tuning, deployment, monitoring, and lifecycle management.
• Establish robust model evaluation and experimentation frameworks to continuously improve accuracy, relevance, and user engagement.
• Design real-time data pipelines that process high-volume market, transactional, and user interaction data to support low-latency AI applications.

Model Fine-Tuning & Governance

• Own and enhance custom model fine-tuning workflows using open-source AI frameworks and tooling.
• Ensure AI systems comply with regulatory, security, risk, and data governance requirements, including KYC, AML, privacy, and auditability standards.
• Drive best practices around model performance, reliability, explainability, and responsible AI implementation.

Leadership & Stakeholder Management

• Provide technical leadership, coaching, and mentorship to AI, data engineering, and machine learning teams.
• Partner closely with Product, Engineering, Data, Compliance, and Business stakeholders to transform business challenges into scalable AI solutions.
• Influence strategic decisions related to AI architecture, platform scalability, operational excellence, and cost optimization.

Required Experience & Qualifications

• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Engineering, Data Science, or a related discipline.
• 10+ years of experience across AI, Machine Learning, Data Science, or Data Engineering, with extensive exposure to enterprise-scale production environments.
• Proven experience designing, deploying, and managing AI-powered applications and LLM-based solutions in production.
• Strong hands-on expertise with open-source AI frameworks, including:
• PyTorch
• Hugging Face Ecosystem
• Transformers
• LangChain/LlamaIndex (preferred)
• Deep knowledge of model fine-tuning, evaluation methodologies, prompt engineering, and optimization techniques.
• Strong experience building feature stores, large-scale data pipelines, and real-time machine learning systems.
• Solid understanding of recommendation systems, ranking algorithms, graph-based learning, vector databases, and user personalization techniques.
• Experience working within regulated industries such as financial services, banking, fintech, or capital markets would be highly advantageous.
• Strong communication skills with the ability to influence stakeholders and lead cross-functional initiatives.

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