AI Transformation Engineer

VP, IS Risk - Assurance

Solution Architect, Cargo Management Systems

Associate Engineer – Factory Innovation

VP, Engineering Manager

AVP, Channel Marketing

Manufacturing Engineer - Automation Mechanical

Role Description: <ul><li>The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</li></ul>

Responsibilities: <ul><li>Oversee and execute end to end control assurance activities for all sub functions within Information Security</li><li>Formalize, Pilot and execute first line of defence (1LOD) assessments for Information Security to proactively identify risks to the business</li><li>Lead the client assessments program by liaising with internal client partners to ensure is meeting client expectations for Information Security Assessments and Audits</li><li>Collaborate with Sourcing and Legal teams to review third-party supplier contracts, ensuring contractual terms align with the defined scope of services and comply with applicable regulatory requirements and governance frameworks</li><li>Support execution of FedLine and other assessments by working with internal SMEs, Second and Third Line of defense teams</li><li>Support renewal of Cyber Insurance for the organization by working with insurance brokers and key internal stakeholders</li><li>Develop Financial Security Assurance specific security standards and procedures</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Engineering or related field, with a minimum of 10+ years of experience in Information Security OR in lieu of the Bachelors degree, a minimum of 12+ years of experience in Information Security.</li><li>8+ years of progressive experience in information security, technology risk, security controls assurance, or audit, including 5+ years leading teams.</li><li>Good understanding of IS Risk Management Concepts</li><li>Strong working knowledge of IT related US Banking regulations &amp; industry best practices (NIST, PCI DSS, HIPAA, CRI etc.)</li><li>Demonstrated experience designing and executing control testing/assurance programs across multiple security domains</li><li>Exposure to working with external attack surface monitoring tools to partner with internal stakeholders to remediate external risk exposure to the organization</li><li>Proven ability to influence and partner across Information Security, Technology, Risk, Compliance, and Audit functions</li><li>Excellent executive communication skills—able to synthesize complex findings into clear, actionable insights.</li><li>Excellent interpersonal skills with ability to influence team members, management &amp; external groups</li><li>Self-motivated &amp; able to work independently or in a team environment &amp; work with virtual teams</li></ul>

Responsibilities Target State Architecture and Convergence <ul><li>Define and maintain the target state architecture for cargo management systems across the global network, covering platform selection, consolidation, integration, and retirement</li><li>Produce a roadmap that sequences how regional systems (Cargospot, COSYS+, ePic) move toward an agreed target, with clear architectural rationale for each decision</li><li>Document and govern architecture decisions to ensure transparency, consistency, and auditability</li><li>Maintain a current-state map of the platform estate, including capability overlap, integration debt, and footprint reduction opportunities</li></ul> Integration, Connectivity, and Data Architecture <ul><li>Define integration standards and patterns for cargo systems, including airline connectivity (ONE Record, Cargo-XML, EDI), messaging, and API design</li><li>Set the data architecture for the cargo estate so that operational, customer, and commercial data flows are consistent and reusable across stations</li><li>Establish interoperability requirements between cargo management systems and adjacent platforms</li><li>Govern the technical aspects of customer-specific connectivity so that customer requests are met without fragmenting the core platform</li></ul> Change Order Validation and Cost Governance <ul><li>Review and validate every material change order raised against the cargo management systems are justified by the actual scope of work</li><li>Assess the technical complexity of each change order independently to challenge vendor proposals where required</li><li>Challenge inflated, padded, or over-scoped change orders, and provide documented technical rationale of its decisions</li><li>Distinguish change orders that reflect genuine new scope from those that should fall within existing contractual obligations or standard product, protecting the network from avoidable cost</li><li>Maintain a defensible record of change-order assessments so that platform spend is traceable and auditable, and patterns of vendor over-scoping are visible to leadership</li></ul> Standards, Governance, and Technical Authority <ul><li>Own the architectural standards that regional implementations are held against, and run the technical review of material platform changes</li><li>Provide architectural input into product governance</li><li>Ensure vendor solution designs align with target architecture or introduce avoidable lock-in</li><li>Partner with cybersecurity and enterprise architecture functions to ensure cargo platform architecture meets security, audit, and regulatory requirements</li></ul> Delivery Partnership and Advisory <ul><li>Act as the senior technical advisor to the Digital Product Management function, translating strategic direction into an executable systems blueprint</li><li>Support platform evaluations and proofs of concept with rigorous technical assessment</li><li>Provide architectural guidance to regional technology teams during implementation, migration, and cutover</li><li>Communicate architecture clearly and plainly to non-technical leadership; state platform status honestly as live, in build, in pilot, or proposed</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Systems, or related discipline required; postgraduate qualification preferred</li><li>Recognised enterprise architecture certification valued: TOGAF 9.2 or equivalent</li><li>Cargo Systems Domain (required): Deep, hands-on knowledge of cargo management systems and the cargo handling business is essential and non-negotiable for this role; ideally across more than one of Cargospot, COSYS+, or ePic, with a clear understanding of how these systems are used at station level in export, import, and special-handling flows.</li><li>This knowledge is the basis on which the role validates change orders and holds the architectural line</li><li>Change Order and Cost Assessment: Demonstrated ability to assess vendor change orders on cost, man-hour estimate, and technical complexity, and to challenge estimates that are not justified by the work; able to translate a technical scope into a defensible commercial judgement</li><li>Solution and Systems Architecture: 10 or more years in technology delivery with a minimum 5 years in a solution or systems architecture role for enterprise operational platforms</li><li>Integration and Connectivity: Strong practical experience with integration architecture, API design, and airline connectivity standards (ONE Record, Cargo-XML, EDI, IATA messaging)</li><li>Platform Convergence: Demonstrated experience consolidating or rationalising a multi-system estate, including migration sequencing and footprint reduction</li><li>Vendor Engagement: Proven experience evaluating and challenging platform vendors on architecture, integration, and total cost</li><li>Cross-Regional Delivery: Experience operating across APAC, EMEA, and Americas with the cultural fluency to navigate regional system ownership and variation</li><li>Sector Experience: Aviation, cargo, logistics, or other 24/7/365 operational environment strongly preferred</li></ul>

Responsibilities: Drives Business Growth <ul><li>Leads commercializing solutions for new process/material innovations into manufacturing facilities.</li><li>Define, plan &amp; execute process trials with R&amp;D developers &amp; Manufacturing team to validate performance, quality, efficiency &amp; stability.&nbsp;</li><li>Identifies &amp; resolves technical &amp; material issues during commercialization.</li><li>Creates process material &amp; process specifications for the plant during handover.&nbsp;&nbsp;</li><li>Collaborates with Product Developers, Technical Service, engineers, supplier &amp; Manufacturing to ensure smooth project handover.&nbsp;</li><li>Supports continuous improvement &amp; standardization of process &amp; material quality specification.&nbsp;</li></ul> Leadership <ul><li>Functions as a Program/Project Manager, Planner, Coordinator, Communicator, and Technical Expert.</li><li>Provides strategic input to cross-functional teams and influences decision-making through technical insights.</li></ul> Innovation / Creativity <ul><li>Identifies &amp; implements process productivity &amp; sustainability improvements workstreams.</li><li>Collaborates with suppliers and global resources for scaling new process solutions.</li></ul> Technical Expertise <ul><li>Serves as the subject matter expert in process engineering (equipment &amp; process flow), raw material specification &amp; Pringle chip finish goods quality.</li><li>Maintains up-to-date knowledge of current operational process technology &amp; finished process quality performance.&nbsp;</li></ul> People Management <ul><li>Manages one direct report, setting performance expectations, conducting evaluations, and supporting career development.</li></ul> Other Duties <ul><li>Based in Enstek Malaysia, with travel (~20%) to manufacturing sites, suppliers, and regional offices.</li><li>May require extended hours, shift work, or weekend support depending on project needs.</li><li>Occasional hands-on operation of process equipment.</li></ul> Requirements: <ul><li>Bachelor’s degree in engineering (Chemical, Process, Mechanical, or Food), Food Science/Process /Technology degree or any related field.</li><li>Minimum 3–5 years’ experience in process development or manufacturing within the food industry. Past managerial experience is preferred.&nbsp;</li><li>Fluent in Bahasa Melayu &amp; English language.&nbsp;</li><li>Technical &amp; Process Knowledge</li><li>Strong understanding of food/process engineering principles (e.g., heat transfer, powder flowability, mass balance, rheology, fluid dynamics, drying, mixing, extrusion, etc.).</li><li>Experience with scale-up from lab/pilot plant to full-scale production.</li><li>Knowledge of manufacturing systems, automation, and equipment capability.</li><li>Familiarity with process validation (CQV – Commissioning, Qualification, Validation).</li><li>Commercialisation &amp; Project Execution</li><li>Able to translate R&amp;D prototypes into commercially viable and scalable processes.</li><li>Competence in trial planning, DOE (Design of Experiments), and data analysis to optimize processes.</li><li>Experience with equipment commissioning, line trials, and factory acceptance testing (FAT/SAT).</li><li>Understanding of manufacturing cost drivers and process efficiency. (OEE, yield loss, etc)</li></ul>

Responsibilities: People, Talent and Cross-Functional Collaboration:&nbsp; <ul><li>Ensure optimal staffing levels across front-end, back-end, full-stack, and platform specializations.&nbsp;</li><li>Hire, coach, and develop top-tier engineering talent.</li><li>Manage direct reports and technical leads, address performance issues promptly, and build strong relationships with Product, Design, Platform, Data, and agile train leadership to deliver cohesive, customer-focused solutions.</li><li>Community of Practice, Developer Experience and AI-Driven Engineering: As AI tooling becomes inseparable from modern engineering practice, own the convergence of Community of Practice standards and AI adoption as a single discipline.&nbsp;</li><li>Foster best practice adoption across the engineering community with AI tooling treated as a first-class part of the practice.</li><li>Define standards for responsible AI adoption — including when to use AI coding assistants, agents, skills, and MCP integrations versus traditional approaches.</li><li>Establish clear guidance on the distinction between AI Skills (deterministic capabilities) and Agents (autonomous, multi-step workflows). </li><li>Evaluate, pilot, and roll out AI tools (GitHub Copilot, Claude Code, Cursor, Windsurf, Continue.dev, Aider, Cline, Ollama). </li><li>Define governance for AI use in regulated financial services contexts including data handling, PII protection, IP compliance, and code provenance. </li><li>Track and measure the combined impact of CoP practices and AI adoption on cycle time, PR throughput, defect rates, and developer satisfaction.</li><li>System Architecture and Technical Direction: Own a modern view of system architecture spanning client, server, data, integration, and AI layers.&nbsp;</li><li>Champion patterns such as micro-frontends, BFF, event-driven, API-first, serverless, and composable architectures.&nbsp;</li><li>Partner with Enterprise Architects on platform alignment.&nbsp;</li><li>Guide trade-off decisions (monolith vs. microservices, sync vs. async, build vs. buy). Use AI-powered architecture tools to accelerate design exploration and generate ADRs.</li><li>Ensure teams document decisions so both humans and AI agents can reason about the system. </li><li>Understand how AI tools interact with system architecture — including RAG, vector databases, MCP integrations, and agentic workflows.</li></ul> Strategic Planning, Delivery and Operational Excellence:&nbsp; <ul><li>Ensure plans align with CoP goals, review quarterly commitments to flag risks early, and step in to resolve conflicts between product, design, and engineering.&nbsp;</li><li>Drive CI/CD best practices, ensure high-quality scalable solutions across the stack, and provide on-call support during escalations.&nbsp;</li><li>Support tech leads hands-on when needed, regardless of which layer of the stack the problem lives in.</li></ul> Requirements: <ul><li>Strong hands-on background in modern front-end technologies (ReactJS, TypeScript, NextJS, Cypress) as an anchor foundation, with working knowledge of back-end technologies, APIs, microservices, and data layer concepts.&nbsp;</li><li>Experience with AWS cloud services, CI/CD pipelines, and modern DevOps practices.&nbsp;</li><li>Proven ability to lead engineers working across the full stack.</li><li>Solid grounding in system architecture fundamentals — distributed systems, scalability, CAP trade-offs, caching, messaging, API design — and familiarity with modern patterns (micro-frontends, BFF, event-driven, CQRS, serverless, composable architectures).&nbsp;</li><li>Experience making and documenting architecture decisions (ADRs), with understanding of how AI-native architecture (RAG pipelines, vector databases, agent orchestration) differs from traditional architecture.</li><li>Hands-on experience with AI coding assistants (GitHub Copilot, Claude Code, Cursor, or equivalent) with clear understanding of the difference between AI Skills and Agents, familiarity with MCP (Model Context Protocol), RAG patterns, and experience defining AI usage guidelines and governance frameworks for regulated environments.&nbsp;</li><li>Awareness of the open-source AI tooling ecosystem (Continue.dev, Aider, Cline, Ollama).</li><li>Proven experience leading and growing high-performing engineering teams, running or contributing to a Community of Practice, and strong communication skills with the ability to influence across organizational levels.</li></ul>

Responsibilities: <ul><li>Liaise with clients and peers within Performance Marketing to deliver complex channel requests &amp; problem-solving (e.g., new clients, new offers/products, escalated requests related to timeline or complexity).</li><li>Drive the re-imagination of channel execution, transforming to become more flexible, and agile, and deliver expedited cross-channel campaign solutions for all portfolios.</li><li>Scrum Master of Pod; runs stand-ups, assigns workload, trains Pod members on portfolio nuances, and ensures completion of all work.</li><li>Manage , train &amp; mentor/coach team members to ensure competency in multi-channel execution, career growth pathing and enhance performance.</li><li>Act as subject matter expert for advanced email skillsets (e.g., data, execution processes, platforms, suppliers/agencies).</li><li>Manage project initiatives as assigned (e.g., temporary resources, supplier/agency reviews, platform upgrades, client initiatives, cross-channel strategy).</li><li>Manage file selection and segmentation of channel marketing campaigns and facilitate accurate execution of “file only” requests.</li><li>Collaborate with client marketers on optimal design, creative, and segmentation to drive email touchpoints, assisting clients with the agency creative process and legal approval.</li><li>Work within designated email platforms to build and launch email marketing campaigns, adopting AI features to streamline build processes and improve campaign effectiveness.</li><li>Audits high complexity and/or flagged campaigns, including approving campaign requirements.</li><li>Shares campaign performance metrics back to client teams and account managers for continuous campaign improvement.</li><li>Investigate, develop, and champion pilot strategies for next-generation channel optimization.</li><li>Ensure all campaigns meet required campaign documentation requirements.</li><li>Drive advancement and adoption of responsive design for mobile optimization.</li><li>Ensure adherence to purchase order and invoice management procedures.</li><li>Drive continued adoption and consistent usage of Performance Marketing process tools by team and clients, including compliance with records retention.</li><li>Perform other duties and/or special projects as assigned, with a focus on exploring and integrating AI-driven innovations to improve overall marketing operations.</li></ul> Requirements: <ul><li>Bachelor’s degree with overall 5+ years of experience with the financial services industry or Marketing or Digital experience; In lieu of degree overall 7+ years of experience with the financial services industry or Marketing or Digital experience</li><li>Minimum 5+ Years of email with hands-on experience of building and deploying commercial emails leveraging Agile methodology</li><li>Minimum 5+ years of experience with the enterprise email service platform: Zeta (Athena, Workflow Automation, Channel path optimization, Experience Builder, Propensity &amp; Moment scoring, etc)</li><li>5+ years of experience working with US stakeholders and cross-functional teams</li><li>Exposure to project management tool: COSMOS Workfront (or) MRM (or) Jira (or) ProofHub etc.</li><li>Strong project management skills, attention to detail, and ability to work under tight deadlines</li><li>Proficient with Microsoft Office Suite including Outlook, Word, Excel, and PowerPoint</li><li>Strong Change Management skills - effective communicator, good at holding "crucial conversations" with clients and internal partners</li><li>Strong written &amp; verbal communication skills</li><li>Good team player</li></ul>

Responsibilities: Equipment Development, Commissioning and Acceptance <ul><li>In order to improve the efficiency for production, Work with process team and vendors to review the design of&nbsp;automation machine or fixtures; qualify and acceptance the new machine; set-up maintenance plan and implementation; improve the mass production&nbsp;machine and fixture to enhance the productivity"</li></ul> Assembly jigs: <ul><li>Evaluate new tool, fixture and equipment demand/cost for new projects;</li><li>Design and review the tool, fixture and equipment with core team members meeting engineering and EHS requirement.&nbsp;</li><li>Upload all tooling prints to data management system( PDMLink, etc.)</li><li>Discuss and review details of tool/fixture/equipment with outside supplier.</li><li>Follow up the purchasing process to fabricate new tool/fixture/equipment.</li></ul> Technical support <ul><li>In order to en sure the auto line running smoothly, Provide technical support to manufacturing team during pilot run and production start-up/change over.</li></ul> Problem Solving <ul><li>In order to ensure the production running smoothly, provide support on Problem identification and trouble-shooting with solution for a wide range of complex mechanical problems. Responsible for the effective communication across the company"</li></ul> Training Guidance: <ul><li>Line maintenance/change over together with/guiding the technicians to make sure automation machine run smoothly</li></ul> Requirements: <ul><li>Bachelor’s Degree in Mechanical Engineering or Automation;</li><li>Experience w/ automated assembly machines, skilled in fixture/jig design and trouble-shooting for automation machine;</li><li>Familiar with Vision Inspection (Keyence/Cognex), Programmable Logic Controllers (PLC), Pneumatics, sensors, motors and other motion control devices and components selection;</li><li>Robot knowledge will be a plus;&nbsp;</li><li>Interfacing knowledge between mechanical and electrical;</li><li>Familiar with Pro-E or SolidWorks, AutoCAD software to create 2D and 3D drawing</li><li>Proven strong analytical and problem solving skills, good interpersonal skills.&nbsp;</li><li>English skills, able to ready technical materials in English</li></ul>

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7 harbor pilot Jobs found

AI Transformation Engineer

VP, IS Risk - Assurance

Solution Architect, Cargo Management Systems

Associate Engineer – Factory Innovation

VP, Engineering Manager

AVP, Channel Marketing

Manufacturing Engineer - Automation Mechanical

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7 harbor pilot Jobs found

AI Transformation Engineer

VP, IS Risk - Assurance

Solution Architect, Cargo Management Systems

Associate Engineer – Factory Innovation

VP, Engineering Manager

AVP, Channel Marketing

Manufacturing Engineer - Automation Mechanical

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