1
applicant

Data & AI Solution Engineer

PacificKode    Colombo • Full-time

Job Description

PacificKode is a software development and IT services and consulting company that specializes in robotic engineering, software development, cloud computing, mobile application development, IT consulting, application support and manage services. Our team of experienced engineers and consultants work together to create innovative solutions for our clients that meet their unique business needs.

Duties & Responsibilities

  • Lead the end-to-end lifecycle of data and AI projects.
  • Design, build, and maintain AI-enabled and integrated solutions, ensuring prototypes are successfully transitioned into scalable, production-ready systems.
  • Enable AI-powered self-service analytics and support the adoption of AI across the organization.
  • Collaborate with business stakeholders to identify AI, BI, and ML automation opportunities, translating business requirements into scalable technical solutions.
  • Coordinate with internal teams and external vendors/partners to ensure timely delivery of projects aligned with defined milestones and quality standards.
  • Ensure a unified data architecture by maintaining a centralized data repository (Lakehouse) and enforcing a single source of truth across all analytics platforms.
  • Design user-facing interfaces and dashboards for AI and analytics solutions to enhance usability and business adoption.
  • Develop and maintain data pipelines and machine learning workflows, ensuring scalability, reliability, and performance across data platforms.
  • Ensure compliance with enterprise data governance policies, including data privacy, access control, cataloging, and audit requirements.
  • Stay current with emerging technologies in AI, machine learning, data engineering, and business intelligence, and recommend improvements to the organization’s data and AI ecosystem.
  • Conduct training sessions, demonstrations, and awareness programs to promote data literacy and AI adoption across
    business teams.

Qualifications & Skills

  • Bachelor’s degree in data science, Artificial Intelligence or related field.
  • Minimum 2 years of hands-on experience in AI/ML implementation, data engineering, or related roles.
  • AI or Data Engineering certifications (Azure AI Engineer, Azure Data Engineer, or equivalent).
  • Experience with cloud platforms and data services.
  • Hands-on experience with Databricks / Microsoft Fabric or similar services.
  • Strong proficiency in SQL and Python programming languages.
  • Solid understanding of Machine Learning concepts and implementation, Strong knowledge of data governance and security frameworks, Strong teamwork, communication, project management and negotiation skills, Effective problem-solving, analytical thinking, decision-making abilities and time management skills.
  • Ability to work under limited supervision and extended working hours when required.