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AI Solutions Director

4 weeks ago

Singapore ENGGSOL PTE. LTD. Full time
Roles & Responsibilities

The Service Delivery Director will lead and manage the delivery of application development services, with a focus on AI-driven solutions, data platforms, and full-stack development. This role is responsible for ensuring the successful design, development, deployment, and maintenance of applications that align with business goals. The ideal candidate will have a strong background in AI, data engineering, and full-stack development, along with proven experience in managing large-scale IT service delivery teams.

1. Strategic Leadership:

  • Define and execute the strategic roadmap for application development, focusing on AI, data, and full-stack solutions.
  • Align service delivery objectives with business goals and ensure the delivery of high-quality, scalable, and innovative solutions.
  • Drive the adoption of AI and data-driven technologies to enhance business processes and customer experiences.

2. Service Delivery Management:

  • Oversee the end-to-end delivery of application development projects, ensuring timely and within-budget delivery.
  • Manage the development, deployment, and maintenance of AI models, data platforms, and full-stack applications.
  • Ensure adherence to best practices in software development, data engineering, and AI/ML model deployment.

3. Team Management:

  • Lead and mentor cross-functional teams, including developers, data scientists, AI engineers, and DevOps professionals.
  • Foster a culture of innovation, collaboration, and continuous improvement within the team.
  • Ensure teams are equipped with the necessary tools, training, and resources to deliver high-quality solutions.

4. Stakeholder Engagement:

  • Collaborate with internal stakeholders (e.g., business units, product managers) and external partners to understand requirements and deliver solutions.
  • Act as the primary point of contact for service delivery issues, ensuring effective communication and resolution.
  • Provide regular updates to senior leadership on project status, risks, and opportunities.

5. Technical Oversight:

  • Ensure the development and maintenance of robust, scalable, and secure applications.
  • Oversee the integration of AI/ML models into applications and data pipelines.
  • Monitor the performance of applications and data platforms, ensuring optimal functionality and user experience.

6. Quality Assurance and Compliance:

  • Implement and enforce quality assurance processes to ensure the reliability and performance of applications.
  • Ensure compliance with industry standards, data privacy regulations, and security protocols.

7. Innovation and Continuous Improvement:

  • Stay updated on emerging technologies and trends in AI, data engineering, and full-stack development.
  • Identify opportunities to leverage new technologies to improve service delivery and business outcomes.
  • Drive continuous improvement initiatives to enhance development processes and service quality.
Requirements

Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience:

  • 10+ years of experience in application development, with a focus on AI, data, and full-stack solutions.
  • 5+ years of experience in a leadership or managerial role, overseeing large-scale IT service delivery teams.
  • Proven track record of delivering complex, AI-driven applications and data platforms.

Technical Skills:

  • Strong knowledge of AI/ML frameworks and data engineering tools (e.g., Hadoop, Spark).
  • Expertise in full-stack development technologies (e.g., JavaScript, React, Node.js, Python, Java).
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and DevOps practices.
  • Familiarity with data governance, security, and compliance standards.

Soft Skills:

  • Excellent leadership, communication, and stakeholder management skills.
  • Strong problem-solving and decision-making abilities.
  • Ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications

  • Certifications in AI/ML, cloud platforms, or project management (e.g., PMP, Scrum Master).
  • Experience in industries such as finance, healthcare, or e-commerce, where AI and data-driven solutions are critical.
  • Knowledge of Agile and DevOps methodologies.

Tell employers what skills you have

DevOps
Artificial Intelligence
JavaScript
Full Stack Development
Data Engineering
Spark
Agile Methodology
Project Management
Python
Google Cloud
Java
Software Development
Certified Scrum Master