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Open nowFirst seen 4 days ago

Tech Lead – AI

InTalent Asia784 open roles

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Your applicationOpen nowTech Lead – AIInTalent Asia

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. InTalent Asia postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

InTalent Asia median: 1 days open

The posting

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

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