Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Production Supervisor

Inheritance Tax Writer 

Global AI Legislation Content Optimisation Lead

VP, Engineering Manager

Principal Component Validation Engineer (HBM)

AVP, Channel Marketing

Senior IT Engineer

Senior Field Application Engineer (Sr. FAE)

Responsibilities: Software Development: <ul><li>Design, develop, test, and maintain scalable software applications using Java Spring Boot and JavaScript for backend and frontend development, respectively. Build clean, reusable, maintainable, and well-tested code following software engineering best practices.</li></ul> Full Stack Application Development: <ul><li>Develop end-to-end web and mobile applications using Java Spring Boot, React or React Native, backend APIs, database integrations, and modern UI frameworks to deliver intuitive user experiences.</li><li>Design and develop secure RESTful APIs, backend services, authentication mechanisms, and data access layers while ensuring application scalability and performance.</li></ul> AI Enable Engineering: <ul><li>Leverage AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, Amazon Q, or similar tools to improve engineering productivity.</li><li>Experience integrating LLM APIs or AI-powered capabilities into applications is desirable.</li></ul> Collabration: <ul><li>Collaborate with Product Managers, Business Analysts, UX Designers, QA Engineers, Architects, and cross-functional engineering teams to understand business requirements and deliver scalable software solutions.</li><li>Participate in sprint planning, technical discussions, estimation, backlog refinement, and Agile ceremonies.</li></ul> Testing &amp; Quality: <ul><li>Develop unit tests, integration tests, and participate in peer code reviews to ensure software quality, maintainability, reliability, and performance.</li><li>Follow secure coding standards and engineering best practices.</li></ul> Cloud &amp; Devops: <ul><li>Contribute to CI/CD pipelines and cloud-native application deployments using technologies such as Docker, Kubernetes, Azure, AWS, GitHub Actions, or Azure DevOps.</li></ul> Continous Improvement: <ul><li>Identify opportunities to improve software architecture, engineering standards, automation, developer productivity, and application performance.</li><li>Adopt AI-assisted engineering workflows and modern software development practices.</li></ul> Technical Support: <ul><li>Troubleshoot production issues, perform root cause analysis, and resolve application issues while ensuring minimal business disruption.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).</li><li>3–5 years of professional software development experience.</li><li>Minimum 3+ years of hands-on full-stack development experience.</li><li>Experience developing production-grade web or mobile applications (not academic or personal projects).</li><li>Strong proficiency in Java Spring Boot and JavaScript.</li><li>Experience developing applications using React or React Native.</li><li>Experience developing backend services using Node.js or equivalent backend technologies.</li><li>Strong understanding of REST API development.</li><li>Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or equivalent.</li><li>Strong knowledge of Git and modern software engineering practices.</li><li>Experience working in Agile/Scrum teams.</li><li>Strong understanding of object-oriented programming, software design principles, and data structures.</li></ul>

Responsibilities: <ul><li>Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.</li><li>Develop and maintain the entire DevOps pipelines.</li><li>Ensure seamless deployment and integration between cloud/prem environments (AWS).</li><li>Integrate AI models into production environments using containerized platforms such as OpenShift.</li><li>Implement and maintain network security protocols to safeguard AI systems and data pipelines.</li><li>Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.</li><li>Monitor and optimize system performance, reliability, and scalability.</li><li>Support CI/CD processes and infrastructure for AI model deployment and updates.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>Bash and Unix/Linux command-line toolkit is a must-have.</li><li>Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA workflow, and Confluence).</li><li>Hands-on experience with OpenShift, Docker, Kubernetes.</li><li>Knowledge of cloud platforms (e.g. AWS) is a must-have.</li><li>Exposure to data and network security and compliance in AI systems.</li><li>Knowledge of API integration and microservices architecture.</li><li>Proficiency in Python used both for automation and ML-related tasks</li><li>Knowledge of Workflow Orchestrator, such as Ctrl-M</li><li>Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.</li><li>Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, Open Telemetry.</li><li>Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.</li></ul>

Responsibilities: <ul><li>Plan and analyze the WIP, resources and activities in ensuring line continuity.</li><li>Effective line management and lot movement to meet OTD.</li><li>Coordinate with planner in production schedule to maximize the line utilization.</li><li>Implement effective work methodologies to ensure consistently high-quality output and productivity.</li><li>Together with engineering team, effective execution of assigned WI, SOP and target.</li><li>Drive together with Engineers in minimizing scraps and mishandling in the line.</li><li>Establish cross-training plans and proper certifications and re-certifications for respective team.</li><li>Responsible for managing the shift manpower and achieving the turnover target.</li><li>Compliance with CSR, EHS, QM, ESD, 5S standard and cleanroom protocol.</li></ul> Requirements: <ul><li>Minimum a Diploma/Degree in Electronic or Electrical Engineering or equivalent.</li><li>Experience in high volume production of electronics components in an MNC or semi-conductor industry.</li><li>Strong organizational, leadership and interpersonal skills.</li><li>Able to multi-task, set priorities and meet deadlines.</li><li>Experienced with computer systems and proficient with software applications such as MS Power Point, Excel and Word.</li><li>Ability to perform 12 hours shift</li></ul>

Role Description: <ul><li>An exciting opportunity has arisen for a Tax Writer specialising in Inheritance Tax to join Tolley, a leading provider of tax research. </li><li>In this role, you will contribute to the development of practical guidance, in-depth content, and AI-driven tools supporting inheritance tax, trusts, and estates. </li><li>You will collaborate with a knowledgeable and supportive team, helping shape the future direction of tax content and solutions. </li></ul> Responsibilities <ul><li>Write and update content for Tolley+ (including both deep research material and practical guidance and AI tools)</li><li>Work with Tolley’s Commissioning team on externally commissioned IHT content</li><li>Assist the Director of Content and the wider business with the strategic direction of Tolley’s Tax offering</li></ul> Requirements <ul><li>CTA/ STEP qualified (or equivalent)</li><li>A good technical knowledge of IHT, Trusts, Estates and Personal Tax, both advisory and compliance</li><li>Strong English writing skills</li><li>Ability to communicate complex tax concepts in an understandable way</li></ul>

Role Description: <ul><li>This is a strategic individual contributor role within the Global Editorial Operations (GEO) team, responsible for driving AI-enabled transformation across legislative and regulatory content. </li><li>The successful candidate will partner closely with Editorial, Product and Technology teams to identify opportunities where AI and Large Language Models (LLMs) can improve content creation, enrichment, summarisation, classification, quality and workflow efficiency at a global scale.&nbsp;</li><li>While experience within legal or legislative publishing would certainly be advantageous, the hiring team is equally interested in professionals who have successfully led AI-enabled workflow optimisation and editorial transformation initiatives in publishing, information services, knowledge management or other content-rich environments.</li></ul> Responsibilities: AI Strategy &amp; Transformation&nbsp; <ul><li>Develop the global strategy for AI-enabled content creation and optimisation.</li><li>Identify opportunities to leverage LLMs, NLP and automation across editorial workflows.</li><li>Lead AI transformation initiatives from concept through implementation.</li></ul> Cross-functional Collaboration&nbsp; <ul><li>Partner with Product, Technology and Editorial teams to deliver scalable AI solutions.</li><li>Drive adoption of AI-enabled tools and new ways of working across global teams.</li><li>Influence stakeholders without direct line management responsibility.</li></ul> Editorial Excellence&nbsp; <ul><li>Define standards for AI-generated and AI-assisted content.</li><li>Ensure quality, consistency and responsible AI practices across editorial operations.</li><li>Develop best practices and training to improve AI capability across the organisation.</li></ul> Requirements: <ul><li>Experience leading AI or Generative AI workflow transformation.</li><li>Strong Editorial, Content Operations or Publishing background.</li><li>Experience implementing LLMs, NLP or AI-driven content solutions.</li><li>Programme or Product Management experience within content-rich environments.</li><li>Excellent stakeholder management and cross-functional leadership skills.</li><li>Legal, regulatory or legislative publishing experience is advantageous but not essential.</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>Coordinate with internal and external teams to prepare silicon validation activities.</li><li>Partner with manufacturing teams to ensure required resources are available.</li><li>Identify, evaluate, and validate HBM Component Validation equipment and testing flows.</li><li>Ensure silicon performance meets product expectations.</li><li>Debug failures, identify root causes, and implement design or process fixes.</li><li>Collaborate with Design Validation (DV), Quality Assurance (QA), and Global Quality (GQ) teams on customer returns and reliability improvements.</li><li>Partner with Engineering, Manufacturing, and Marketing organizations.</li><li>Develop, troubleshoot, and validate HBM component validation test programs.</li><li>Review datasheets and provide feedback to Application Engineers.</li><li>Prioritize activities across multiple cross-functional teams.</li><li>Provide technical leadership, mentoring, and On-the-Job Training (OJT) for engineers.</li><li>Support technical presentations, seminars, and product-specific expertise.</li></ul> Requirements: <ul><li>Bachelors or Masters Degree with a minimum of 10 years of experience, preferably within the memory semiconductor industry.</li><li>Strong programming experience with Linux, Python, C/C++, Verilog, UVM, and version control systems (Git, SVN).</li><li>Excellent analytical, debugging, and problem-solving skills.</li><li>Strong communication, presentation, and data analytics capabilities.</li><li>Basic understanding of HBM and/or DRAM operation and computer networking.</li><li>Self-motivated with the ability to work effectively in collaborative team environments.</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:&nbsp; <ul><li>Support the implementation and enhancement of Enterprise Datahub using Databricks, ensuring seamless integration with existing BI and ERP systems.</li><li>Support complex BI and data platform initiatives while maintaining quality, delivery timelines, and alignment with organizational goals.</li><li>Collaborate with business stakeholders, architects, developers, and analysts to translate requirements into solutions.</li><li>Design, implement, test, and optimize moderately complex data pipelines, ETL/ELT flows, semantic layers, and report solutions with the development team.</li><li>Apply technical knowledge and AI-driven optimization opportunities to improve data quality, validation, reliability, and operational efficiency across supported solutions.</li><li>Develop new and impactful ideas, approaches, and automation opportunities that improve the platform, processes, and user experience.</li><li>Communicates moderately complex information clearly, accurately, and in a timely manner, adapting the message to the audience.</li></ul> Requirements: <ul><li>Degree in Business Informatics, Information Technology, Data Engineering/Analytics, Engineering, or a related field.</li><li>Proven experience in data engineering, application support, BI analytics, or related technical roles.</li><li>Strong expertise in Databricks, GitHub, dbt, ETL, Tableau, Power BI, and SQL.</li><li>Familiarity with Generative AI tools (e.g., Copilot, LLM-based assistants) to enhance productivity, development, and documentation.</li><li>Ability to analyze moderately complex problems independently and drive resolution with minimal supervision.</li><li>Strong stakeholder management, teamwork, and clear written and verbal communication skills.</li><li>Experience contributing to technical improvements, process optimization, and operational quality.Proficiency in English, both written and spoken.</li></ul>

Role Description: <ul><li>As a Senior Field Applications Engineer (FAE) at our client, you will be the technical face of ICT new technology connector solutions.</li><li>You will partner closely with account managers, product managers and end customers to drive new business through engineering and design-in support.</li><li>This role bridges our client products and customer designs, guiding requirements discovery, product selection, specification, and validation.</li><li>Core focus areas: e-mobility, high-speed data connectivity, low voltage and electromechanical solutions.</li><li>You will capture Voice of Customer insights to influence roadmaps and identify application opportunities.</li></ul> Responsibilities: <ul><li>Partner with account managers to support customers with engineering and design-in guidance.</li><li>Translate application requirements into connector and interconnect solutions.</li><li>Lead technical discussions in customer engagements.</li><li>Support specification and validation activities.</li><li>Capture Voice of Customer, market trends, and competitive benchmarks.</li><li>Support events like customer Techdays and trade shows.</li><li>Manage multiple stakeholders and collaborate cross-functionally with sales, product management, and engineering.</li></ul> Requirements: Experience Required: <ul><li>5+ years of experience in applications engineering, FAE, or technical sales.</li><li>Engineering degree preferred (Mechanical, Electrical, or similar STEM discipline).</li><li>Experience with connectors/interconnect systems preferred.</li><li>Strong customer-facing communication and influencing skills.</li><li>Ability to work independently and manage multiple priorities.</li></ul> Additional Qualifications <ul><li>Strong technical knowledge of connectors and cable assemblies.</li><li>Experience translating customer requirements into product specifications.</li><li>Exposure to e-mobility, high-speed data, and electromechanical systems.</li><li>Experience with Voice of Customer and competitive benchmarking.</li><li>Strong organizational and stakeholder management skills.</li><li>Willingness to travel.</li></ul>

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74 ai output validation Jobs found

Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Production Supervisor

Inheritance Tax Writer

Global AI Legislation Content Optimisation Lead

VP, Engineering Manager

Principal Component Validation Engineer (HBM)

AVP, Channel Marketing

Senior IT Engineer

Senior Field Application Engineer (Sr. FAE)

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74 ai output validation Jobs found

Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Production Supervisor

Inheritance Tax Writer

Global AI Legislation Content Optimisation Lead

VP, Engineering Manager

Principal Component Validation Engineer (HBM)

AVP, Channel Marketing

Senior IT Engineer

Senior Field Application Engineer (Sr. FAE)

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.