JOB DESCRIPTION
Company
Sidec Sdn Bhd
Department
Human Resource
Position
AI Forward Deployment Engineer
Employee Name
(Vacant)
Reporting To
Ts. Dr. Lee Hing Wah
Qualifications
• Bachelor's Degree in Artificial Intelligence, Computer Science, Software Engineering, Data Science, Information Technology, Engineering, Digital Technology or other relevant fields.
• Preferably 3 years or more of relevant working experience in artificial intelligence, software solutions, digital transformation, automation, technology consulting, solutions engineering or related areas.
• Strong practical knowledge and hands-on experience with Generative AI, Large Language Models (LLMs), AI agents and automation technologies.
• Demonstrated experience using major AI platforms including, but not limited to, ChatGPT, Claude, Gemini, Microsoft Copilot and other emerging AI platforms.
• Experience in developing, configuring or implementing AI-enabled workflows, applications, automations or integrations will be an advantage.
• Knowledge of APIs, databases, cloud platforms, workflow automation tools and enterprise applications will be an advantage.
• Professional certifications in Artificial Intelligence, cloud computing, data analytics, automation, software development or related technology areas from recognised providers such as Microsoft, Google, AWS or equivalent will be an advantage.
• Experience in conducting training, workshops, technology demonstrations or knowledge-sharing sessions will be an advantage.
Skills / Attributes/ Competencies
• Strong hands-on exposure to Artificial Intelligence, Generative AI, Large Language Models (LLMs), automation tools, and emerging digital technologies.
• Demonstrated ability to rapidly learn, test, evaluate, and apply new AI platforms and technologies, including but not limited to ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, and other emerging AI solutions.
• Proven ability to translate AI capabilities into practical business use cases, productivity improvements, workflow enhancements, and organisational solutions.
• Strong experience in conducting technology demonstrations, training, workshops, user enablement, and knowledge-transfer sessions for both technical and non-technical audiences.
• Good understanding of AI platform evaluation, enterprise subscriptions, technology procurement considerations, vendor assessment, and cost-benefit analysis.
• Ability to advise Management on AI adoption, platform selection, emerging technology trends, implementation options, and organisational readiness.
• Strong business and technology orientation, with the ability to bridge technical capabilities, operational requirements, and strategic organisational objectives.
• Exposure to AI governance, data privacy, responsible AI practices, information security, and organisational technology controls is highly advantageous.
Education
• Bachelor’s Degree in Artificial Intelligence, Computer Science, Software Engineering, Data Science, Information Technology, Engineering, Digital Technology, or a related discipline.
• Professional certifications in Artificial Intelligence, Generative AI, cloud computing, automation, data analytics, software development, or related technology fields are advantageous.
• Relevant certifications from Microsoft, Google, AWS, OpenAI-related learning programmes, or other recognised technology providers would be an added advantage.
Experience
• Minimum 3–5 years of relevant experience in Artificial Intelligence, software solutions, digital transformation, automation, technology consulting, solutions engineering, or related technology roles.
• Practical experience using major Generative AI and AI productivity platforms such as ChatGPT, Claude, Gemini, Microsoft Copilot, and equivalent solutions.
• Prior experience in evaluating, implementing, or supporting AI-enabled solutions, automation workflows, enterprise technology platforms, or digital transformation initiatives.
• Experience conducting user training, workshops, demonstrations, or technical knowledge-sharing sessions is highly preferred.
• Experience working across different business functions and translating operational requirements into technology solutions would be an added advantage.
• Exposure to startup, technology, innovation, public-sector, GLC, SME, or digital ecosystem environments would be advantageous.
Skills & Competencies
• Strong understanding of Generative AI, Large Language Models, AI agents, prompt engineering, workflow automation, and emerging AI technologies.
• Ability to rapidly understand and develop working expertise in newly introduced AI platforms.
• Strong technology research, benchmarking, testing, and comparative evaluation skills.
• Ability to conduct proof-of-concept testing and recommend suitable AI solutions based on organisational requirements.
• Strong understanding of AI-assisted business process improvement and digital transformation.
• Ability to identify suitable AI applications across different organisational functions.
• Strong presentation, training, facilitation, and knowledge-transfer skills.
• Ability to communicate complex technical concepts clearly to non-technical staff, senior management, partners, and external stakeholders.
• Strong stakeholder management and cross-functional collaboration skills.
• Good understanding of AI subscriptions, licensing models, enterprise platforms, vendor proposals, and technology procurement considerations.
• Ability to prepare management papers, technology comparison reports, business cases, and implementation recommendations.
• Knowledge of APIs, system integrations, databases, cloud platforms, workflow automation tools, and enterprise applications would be advantageous.
• Good understanding of AI governance, responsible AI, privacy, confidentiality, and information-security considerations.
• Strong analytical, problem-solving, and decision-support skills.
• Ability to manage multiple AI initiatives, evaluations, and learning activities simultaneously with minimal supervision.
Personal Attributes
• Highly curious and naturally interested in emerging technologies.
• Proactive learner who actively explores new AI technologies without waiting for formal instruction.
• Strong self-learning capability and willingness to continuously upgrade technical knowledge.
• Comfortable experimenting with unfamiliar technologies and learning through hands-on testing.
• Strategic and commercially aware, with the ability to consider both technological capability and organisational value.
• Confident presenter and facilitator with the ability to engage employees, Management, partners, and external stakeholders.
• Able to simplify complicated AI concepts into practical and understandable applications.
• Innovative and solution-oriented, with a strong focus on practical implementation rather than technology for its own sake.
• Collaborative and comfortable working across multiple departments and organisational levels.
• High level of integrity, professionalism, confidentiality, and responsibility when handling organisational data and AI systems.
• Results-oriented with a strong focus on measurable organisational impact and user adoption.
• Passionate about building AI capability not only for personal expertise, but also across the organisation and wider ecosystem.
Main Responsibilities
Responsible for positioning Sidec at the forefront of Artificial Intelligence adoption by continuously identifying, learning, evaluating and deploying emerging AI technologies, and subsequently transferring such knowledge and capabilities to Sidec employees, Management, strategic partners and ecosystem stakeholders. The incumbent shall serve as Sidec's internal Artificial Intelligence Subject Matter Expert and technology adviser, providing Management with recommendations on AI platforms, subscriptions, enterprise solutions, implementation strategies and emerging technologies that can improve organisational productivity, operational efficiency, decision-making and ecosystem impact. The incumbent shall also lead the development of organisational AI capabilities by ensuring that relevant employees and partners are equipped with the knowledge, tools and practical competencies required to effectively and responsibly utilise Artificial Intelligence.
Job Functions
1. AI Technology Intelligence & Emerging Technology Monitoring
• Continuously monitor developments in Artificial Intelligence, Generative AI,
Large Language Models, agentic AI, automation and other emerging
technologies.
• Identify new AI models, platforms, applications, tools and solutions that may
have potential relevance to Sidec's operations, programmes and strategic
objectives.
• Act as the organisation's first-line learner and evaluator whenever significant
new AI technologies or capabilities are introduced.
• Proactively explore, test and understand new AI tools without waiting for formal
direction where the technology may provide organisational value.
• Maintain advanced working knowledge of major AI platforms including, but not
limited to:
o ChatGPT
o Claude
o Gemini
o Microsoft Copilot
o Perplexity
o AI coding assistants
o AI productivity tools
o AI image, video and multimedia tools
o AI automation platforms
o AI agent platforms
o Enterprise AI solutions
o Other emerging Artificial Intelligence technologies.
• Keep abreast of developments in AI capabilities, models, features, pricing,
licensing, integrations, security, privacy and enterprise applications.
• Regularly identify significant AI developments and communicate their
implications and potential opportunities to relevant stakeholders within Sidec
2. AI Research, Testing & Evaluation
• Conduct hands-on testing and evaluation of new AI models, platforms and
technologies.
• Assess technologies based on factors including:
o capability;
o accuracy;
o reliability;
o ease of use;
o integration capabilities;
o security;
o data privacy;
o scalability;
o commercial terms;
o licensing;
o cost;
o organisational suitability; and
o potential return on investment.
• Conduct comparative assessments between competing AI products and
platforms.
• Determine which AI platform or solution is most appropriate for different
departmental and organisational requirements.
• Develop proof-of-concepts, pilots and demonstrations before recommending
significant organisational adoption or investment.
• Identify limitations, risks and implementation considerations associated with
proposed AI technologies.
• Maintain documentation of evaluated AI tools and assessment findings for
future organisational reference.
3. AI Advisory to Management
• Serve as Sidec's internal adviser on Artificial Intelligence and emerging
technology matters.
• Provide regular updates to Management regarding major AI developments,
emerging technologies and potential organisational implications.
• Identify and recommend AI technologies that Sidec should consider adopting.
• Prepare recommendations to Management regarding:
o AI platforms;
o enterprise licences;
o AI subscriptions;
o AI infrastructure;
o automation solutions;
o productivity platforms;
o multi-model AI platforms;
o AI implementation projects;
o technology partnerships; and
o relevant AI investments.
• Conduct business and technical evaluations before recommending acquisition
or subscription to AI-related technologies.
• Prepare comparison papers covering available solutions, costs, benefits, risks,
capabilities and recommended approaches.
• Develop business cases and management proposals for AI-related initiatives.
• Recommend whether a solution should be:
o developed internally;
o subscribed through Software-as-a-Service;
o procured from an external technology provider;
o implemented through API integration;
o developed through strategic partnerships; or
o delivered using a combination of approaches.
• Advise Management on emerging technology trends that could affect Sidec's
strategic positioning.
4. AI Platform & Subscription Strategy
• Evaluate Sidec's requirements for Artificial Intelligence platforms and
enterprise subscriptions.
• Research platforms capable of providing centralised access to multiple AI
models and services, where such an arrangement may provide operational,
security or financial advantages.
• Compare direct subscriptions to individual AI providers against consolidated or
multi-model enterprise AI platforms.
• Review existing and proposed AI subscriptions for potential duplication.
• Assess subscription utilisation and cost effectiveness.
• Recommend suitable licence types and subscription arrangements according
to employee and departmental requirements.
• Recommend the introduction, continuation, upgrading, consolidation, reduction
or discontinuation of AI platforms based on organisational requirements.
• Engage with AI solution providers and vendors for product demonstrations,
enterprise proposals, trials and technical discussions.
• Support Management and relevant departments during procurement and
vendor assessment processes involving AI technology.
5. Internal AI Subject Matter Expert
• Serve as Sidec's primary internal Artificial Intelligence Subject Matter Expert
(SME).
• Provide practical advice and assistance to employees regarding the
appropriate use of AI in their respective work functions.
• Respond to departmental requests for guidance on appropriate AI tools,
approaches and solutions.
• Assist departments in determining whether identified operational challenges
can be addressed using AI or automation.
• Recommend suitable AI tools based on specific departmental needs instead of
adopting a one-solution-fits-all approach.
• Provide hands-on assistance during initial adoption of new AI technologies.
• Assist employees in resolving challenges relating to the practical application of
approved AI platforms.
• Develop advanced expertise in strategically important AI technologies adopted
by Sidec.
6. AI Training & Organisational Capability Development
• Develop and implement an organisation-wide AI capability development
programme.
• Conduct AI awareness, literacy and competency programmes for Sidec
employees.
• Train employees on the effective and responsible use of AI platforms.
• Develop different levels of AI learning programmes, including:
o AI Fundamentals;
o Generative AI for Productivity;
o Prompt Engineering;
o Advanced AI Applications;
o AI Agents;
o Workflow Automation;
o AI for Management;
o AI for specific departmental functions; and
o emerging AI technologies.
• Conduct hands-on demonstrations, workshops, clinics, masterclasses and
learning sessions.
• Develop practical use cases based on actual organisational workflows.
• Provide employees with examples of how AI can improve productivity and work
quality within their respective job functions.
• Develop internal learning materials including:
o AI user guides;
o tutorials;
o prompt libraries;
o templates;
o videos;
o FAQs;
o AI playbooks;
o best-practice guides; and
o reference materials.
• Conduct regular "What's New in AI", AI Update or equivalent knowledge-
sharing sessions.
• Ensure relevant new AI knowledge is disseminated throughout the organisation
in a timely manner.
• Support the development of internal AI champions or departmental AI
representatives where appropriate.
7. Partner & Ecosystem AI Enablement
• Extend relevant AI knowledge and capability-building initiatives to Sidec's ecosystem where appropriate.
• Conduct AI training, demonstrations, workshops and knowledge-sharing sessions for:
o strategic partners; o startups; o SMEs; o technology companies; o government agencies; o ecosystem partners; and o other relevant stakeholders.
• Support Sidec programmes aimed at accelerating digital and AI adoption.
• Develop practical AI adoption content suitable for businesses and ecosystem participants.
• Support relevant Sidec initiatives involving Artificial Intelligence and emerging technologies.
• Facilitate knowledge exchange between Sidec and technology providers.
• Identify technologies or AI solutions that could benefit Sidec's broader ecosystem.
• Support collaborations with AI companies, technology providers, academia and relevant industry stakeholders.
• Represent Sidec in relevant Artificial Intelligence engagements, exhibitions, conferences, technology discussions and knowledge-sharing programmes when assigned.
8. AI Use Case Identification & Business Process Improvement
• Engage regularly with departments to understand their workflows, operational challenges and business requirements.
• Identify repetitive, manual or resource-intensive processes that may be improved through Artificial Intelligence or automation.
• Conduct AI opportunity discovery sessions with departments.
• Translate operational problems into practical AI use cases.
• Prioritise proposed AI use cases according to potential organisational impact, feasibility, cost and implementation requirements.
• Recommend suitable AI solutions or workflow improvements.
• Develop prototypes and proof-of-concepts where appropriate.
• Support selected solutions from initial concept through implementation.
• Assist departments in redesigning processes to maximise the benefits of AI rather than merely applying AI to existing inefficient processes.
• Document successful AI use cases for potential replication across other departments.
9. AI Solution Development & Forward Deployment
• Develop and deploy practical AI-enabled solutions to address identified organisational needs.
• Configure and implement AI workflows using available enterprise and AI platforms.
• Develop AI agents, assistants, automations and related applications where appropriate.
• Integrate AI tools with databases, APIs, enterprise applications and organisational systems where required.
• Conduct testing before organisational deployment.
• Work directly with users during implementation to ensure the solution addresses actual operational requirements.
• Gather user feedback and continuously improve deployed solutions.
• Troubleshoot issues arising from implemented AI solutions.
• Support the transition of successful prototypes into operational solutions.
• Coordinate with internal IT resources, technology providers and external developers where specialised implementation support is required.
10. AI Adoption & Change Management
• Develop strategies to encourage effective adoption of AI technologies among employees.
• Assess employee readiness and identify barriers to AI adoption.
• Conduct change-management activities related to implementation of new AI technologies.
• Ensure users understand not only how to operate AI platforms but also how to apply them effectively within their work.
• Provide ongoing support following implementation of new AI solutions.
• Monitor employee adoption and utilisation.
• Identify departments or employees requiring additional AI support or capability development.
• Promote a culture of experimentation, responsible innovation and continuous improvement.
11. AI Governance, Responsible AI & Data Protection
• Work with relevant departments to support the establishment and maintenance of organisational AI governance practices.
• Develop or recommend appropriate guidelines for the responsible use of Artificial Intelligence.
• Educate employees regarding appropriate and inappropriate use of AI systems.
• Promote responsible handling of: o confidential information; o personal data; o commercially sensitive information; o internal documents; o intellectual property; and o organisational data.
• Assess potential privacy, security and governance implications before recommending organisational adoption of AI platforms.
• Support compliance with applicable organisational policies and relevant data- protection requirements.
• Develop and maintain an approved or recommended AI tools register where appropriate.
• Identify AI tools or practices presenting unacceptable orga