Tech Lead – AI

WE ARE HIRING: Tech Lead – AI Location: Sri Lanka Employment Type: Full Time Industry: Banking Technology Role Overview We are seeking an experienced and technically strong Tech Lead – AI to lead the design, deployment, governance, and operationalization of enterprise AI solutions within a large-scale banking environment. This role focuses heavily on Model-Centric AI Engineering and MLOps, driving the end-to-end lifecycle of AI applications across on-premises and cloud environments. The successful candidate will be responsible for architecting production-grade AI systems, validating vendor-delivered models, mentoring AI engineering teams, and ensuring predictive models are transformed into scalable, monitored, and resilient enterprise services. The ideal candidate will combine deep hands-on AI engineering expertise with strong leadership capabilities and a passion for developing robust, explainable, and business-aligned AI solutions. Key Responsibilities AI Architecture & Engineering Leadership Design and build scalable, production-ready AI systems aligned with business objectives. Lead the architecture, deployment, monitoring, and optimization of AI and machine learning solutions. Engineer AI models into robust microservices capable of supporting enterprise-scale workloads. Ensure AI solutions perform efficiently across both on-premises and cloud environments. Drive best practices in AI engineering, software development, testing, deployment, and monitoring. Vendor Model Governance & Validation Evaluate, validate, and monitor AI and machine learning models delivered by external vendors. Assess model performance, fairness, explainability, robustness, and compliance with organizational standards. Establish governance frameworks for AI model validation and lifecycle management. Support regulatory and governance requirements relating to AI model implementation. Monitor vendor-delivered AI solutions and ensure continued effectiveness and reliability. MLOps & Platform Enablement Lead MLOps practices across the AI development lifecycle. Design and manage model deployment pipelines, version control processes, and model monitoring frameworks. Support automated model retraining, deployment, and performance management processes. Implement scalable AI delivery practices leveraging cloud and modern MLOps platforms. Drive operational excellence through effective AI lifecycle governance. AI Team Leadership & Mentoring Provide technical leadership, coaching, and mentorship to AI Engineers, Machine Learning Engineers, and Data Scientists. Conduct code reviews and technical reviews to ensure engineering quality and consistency. Support internal research and development initiatives, proofs of concept, and experimentation activities. Develop team capabilities and promote continuous learning within the AI function. Guide teams in adopting engineering best practices and responsible AI principles. Engineering Excellence & Governance Establish and maintain high standards across coding, testing, documentation, version control, and model reproducibility. Promote explainable AI (XAI), model governance, and responsible AI development practices. Support model risk management and regulatory compliance requirements. Develop and maintain technical documentation relating to AI solutions, experiments, and deployment frameworks. Drive continuous improvement initiatives across AI engineering and data science functions. Candidate Profile Bachelor's Degree in Computer Science, Information Technology , or a related discipline. Minimum 5 years of hands-on experience in AI Engineering, Machine Learning Engineering, Data Science, or a related field. Previous experience in roles such as Tech Lead – AI/ML, Senior Data Scientist, Senior AI Engineer, Senior Machine Learning Engineer , or similar leadership positions. Experience within the Banking or Financial Services sector will be an added advantage. Strong technical leadership and people development capabilities. Excellent communication skills and ability to engage with technical and business stakeholders. Technical Expertise Advanced proficiency in Python . Strong experience working with TensorFlow, PyTorch, Scikit-learn , and modern AI frameworks. Hands-on expertise with Large Language Models (LLMs) and Agentic AI architectures. Strong MLOps knowledge including MLflow, Kubeflow, SageMaker, Airflow , and related platforms. Experience with cloud platforms including Google Cloud Platform (GCP) . Strong understanding of model governance frameworks, model cards, explainable AI (XAI), and regulatory model validation. Knowledge of differential privacy, model monitoring, and enterprise AI governance practices. Experience implementing scalable machine learning pipelines and production AI systems. Ready to take your career to new heights? We're InTalent Asia, your go-to recruitment partner in Sri Lanka, and we've got an exciting opportunity for you! Our client is looking for a skilled individual to fill the role of Tech Lead – AI . Apply now and see how you can be the perfect fit for this exclusive position! #InTalentAsia #CareerOpportunity #JobVacancy #TechLeadAI #ArtificialIntelligence #MachineLearning #DataScience #MLOps #LLM #AgenticAI #BankingTechnology #ElevateYourCareer