AI Transformation Engineer

AVP, Principal Software Engineer (Front-End)

Application Developer - Fullstack Developer

Software Engineer – Ag & Trade

ServiceNow Developer

VP, Engineering Manager

Intermediate App Developer – Production Engineering, Java

Senior App Developer – Java, Production Engineering

Business Analyst SAP SD

Business Analyst SAP PP

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>Lead development teams through all phases of the Agile development life cycle.</li><li>Coach and mentor junior talent, including pair-programming and reviewing AIgenerated code with engineering judgment.</li><li>Influence and collaborate with software developers, UX designers, product managers, application architects, and customer application experts to create</li><li>amazing apps.</li><li>Champion responsible adoption of AI coding assistants (GitHub Copilot, Claude Code, Cursor) on the team—setting prompt patterns, distinguishing AI Skills</li><li>(deterministic capabilities) from Agents (autonomous, multi-step workflows), and following company guidance for data handling, PII protection, IP compliance, and code provenance in regulated financial services contexts.</li><li>Ensure compliance with architecture, security, and technology standards set by company.</li><li>Participate in addressing root cause analyses, incident reports, and provide direction in problem resolution.</li><li>Ability to analyze production defects, troubleshoot systems, identify root cause, and implement fixes.</li><li>Provide 24x7 on-call support periodically throughout the year.</li><li>Identify ways to increase efficiency and improve system performance, including by piloting AI tools and agentic workflows for repetitive engineering tasks.</li><li>Work with third party vendors to develop software and/or integrate their software into company products.</li></ul> Requirements: <ul><li>Bachelor’s degree and a minimum of 5 years in full stack development with a strong focus on JavaScript (React JS in particular) OR, in lieu of degree, with 7 years of experience in the same.</li><li>Hands-on experience using at least one AI coding assistant (GitHub Copilot, Claude Code, Cursor, or equivalent) as part of regular development workflow.</li><li>Proficiency in TypeScript, JavaScript, React, Redux, Styled-Components, and RTL or Cypress.</li><li>Familiarity with AI-native concepts—RAG patterns, vector databases, MCP (Model Context Protocol), and agent orchestration—and how they differ from</li><li>traditional architecture.</li><li>Awareness of the open-source AI tooling ecosystem (Continue.dev, Aider, Cline, Ollama). Exposure to building or customizing AI agents/skills using LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) for engineering automation such as code review, documentation, or migration assistants.</li><li>Live and breathe testing.</li></ul>

Responsibilities: Application Development: <ul><li>Design, develop, test, deploy, and support web applications using Angular/AngularJS, Python, and modern full stack technologies.</li><li>Build responsive, high-performing, and user-friendly web interfaces.</li><li>Develop and maintain backend services, business logic, RESTful APIs, and system integrations.</li><li>Integrate applications with databases, enterprise platforms, and third-party systems.&nbsp;</li></ul> Solution Design: <ul><li>Analyze business and functional requirements and translate them into technical solutions.</li><li>Prepare technical designs, system workflows, and application specifications.</li><li>Contribute to technical design discussions and recommend scalable, maintainable solutions aligned with established architecture standards.</li><li>Support the evaluation and selection of appropriate technologies and development approaches.</li></ul> System Integration &amp; Database Management: <ul><li>Develop and maintain secure REST APIs and system integrations.</li><li>Design, optimize, and support relational databases and SQL queries.</li><li>Ensure secure, accurate, and reliable data processing across applications.</li><li>Monitor and optimize application, API, and database performance.</li></ul> Quality Assurance &amp; Testing: <ul><li>Develop and execute unit tests, integration tests, and defect resolution activities.</li><li>Participate in code reviews and quality improvement initiatives.</li><li>Support user acceptance testing, release validation, and production deployments.</li><li>Contribute to automated testing and continuous integration practices where applicable.</li></ul> Application Support &amp; Continuous Improvement: <ul><li>Troubleshoot application issues and provide timely resolution of incidents and defects.</li><li>Monitor application performance, availability, and operational health.</li><li>Perform root cause analysis and implement sustainable solutions to prevent recurring issues.</li><li>Identify opportunities to improve application functionality, performance, maintainability, and user experience.</li></ul> Agile Delivery &amp; Collaboration: <ul><li>Participate in backlog refinement, sprint planning, daily stand-ups, reviews, and retrospectives.</li><li>Collaborate with Business Analysts, Product Owners, Project Managers, and cross-functional technical teams.</li><li>Provide effort estimates and technical input to support project planning and delivery commitments.</li><li>Communicate progress, risks, dependencies, and technical recommendations to stakeholders.</li></ul> Security &amp; Development Standards: <ul><li>Follow secure software development practices and organizational security requirements.</li><li>Ensure applications comply with data privacy, security, audit, and compliance standards.</li><li>Adhere to coding standards, code review processes, and development best practices.</li><li>Support vulnerability remediation and application security improvements.</li></ul> Documentation &amp; Compliance; <ul><li>Maintain technical documentation, support guides, and system specifications.</li><li>Document application configurations, enhancements, integrations, and support procedures.</li><li>Ensure solutions are developed in accordance with organizational policies, standards, and governance requirements.</li></ul> Requirements: <ul><li>3+ years of software development experience, with strong hands-on expertise in Angular or AngularJS for web application development.</li><li>Strong experience in API development and integration, with the ability to develop, consume, test, and troubleshoot RESTful APIs.</li><li>Good working knowledge of JavaScript, TypeScript, HTML5, and CSS3, with a solid understanding of modern web application development practices.</li><li>Hands-on experience with SQL and relational databases, preferably SQL Server, PostgreSQL, or MySQL, including database queries and data handling.</li><li>Proficiency with Git/version control and good understanding of software development lifecycle, debugging, testing, and collaboration with cross-functional development teams.</li><li>Experience with Python development for backend services</li></ul>

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>Own end-to-end technical delivery of SAM Pro capabilities including enhancements, defect management, and platform optimization.</li><li>Configure, develop and maintain Service Now modules, including SAM Pro, HAM Pro, and CMDB, in alignment with business requirements.</li><li>Design and maintain integrations with SCCM, Intune, Active Directory, Cloud platforms, and procurement &amp; contract systems.</li><li>Support configuration and tuning of software normalization, reconciliation rules, and license models within SAM Pro.</li><li>Ensure integrity and quality of data across discovery, CMDB, and entitlement sources.</li><li>Develop automation for SAM use cases such as license harvesting, compliance tracking, and request fulfilment optimization.</li><li>Design and implement workflows, Flow Designer automation, business rules, client scripts, UI policies and notifications while following Service now best practices.</li><li>Maintain technical documentation, participate in platform upgrades and releases, and contribute to continuous improvement initiatives focused on platform stability, user experience and efficiency.</li></ul> Requirements: <ul><li>Bachelor’s degree in IT or Computer Science.</li><li>5+ years of total experience, with at least 3 years of hands-on Service Now development experience.</li><li>Experience working with ServiceNow SAM Pro modules including normalization, reconciliation, and content service, is preferred.</li><li>Hands on with JavaScript, ServiceNow scripting, CMDB data model and platform security concepts.</li><li>Experience with Flow Designer, Integration Hub, and REST/SOAP APIs.</li><li>Understanding of Software Asset Management Lifecycle with exposure to discovery tools, software normalization and software reconciliation concepts.</li><li>ServiceNow Certified System Administrator (CSA) is preferred.</li><li>ServiceNow SAM Implementation Specialist (CIS) certification is highly desirable.</li><li>Excellent communication and ability to work independently as an individual contributor and collaborate effectively with cross-functional teams.</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>Monitor production environments and respond to operational alerts.</li><li>Execute operational runbooks and incident response procedures.</li><li>Support deployments and environment management.</li><li>Develop automation scripts and engineering tools.</li><li>Assist with root cause investigations.</li><li>Support database health and maintenance.</li><li>Participate in on-call rotations.</li><li>Collaborate with development teams to improve reliability.</li></ul> Requirements: <ul><li>4–8 years of software development experience.</li><li>Strong Java programming skills.</li><li>Experience with APIs and microservices.</li><li>Basic cloud experience (Azure/GCP).</li><li>Knowledge of monitoring tools.</li><li>Experience with Couchbase and PostgreSQL.</li><li>Strong analytical and debugging skills.</li></ul>

Responsibilities: <ul><li>Own runtime health and operational stability of production services.</li><li>Participate in on-call support rotations.</li><li>Investigate production incidents and implement permanent fixes.</li><li>Develop automation for monitoring, alerting, deployments, and incident remediation.</li><li>Improve system reliability, scalability, and performance.</li><li>Perform capacity planning and performance tuning.</li><li>Support Couchbase and PostgreSQL databases.</li><li>Leverage AI tools to improve engineering productivity and operational efficiency.</li><li>Rotate between SRE and feature engineering teams based on business priorities.</li></ul> Requirements: <ul><li>8+ years of backend software engineering experience.</li><li>Strong Java programming skills.</li><li>Experience with REST APIs and microservices.</li><li>Experience with messaging platforms (AMQ, MQ, Kafka).</li><li>Azure or GCP cloud experience.</li><li>Strong debugging and production troubleshooting skills.</li><li>Experience with Couchbase and PostgreSQL.</li><li>Knowledge of monitoring and logging platforms.</li></ul>

Role Description: <ul><li>As our Business Analyst, SAP SD, you will design and optimize processes that integrate seamlessly with manufacturing and supply chain—providing accurate, timely, and actionable manufacturing insights.</li><li>This role focuses heavily on requirements gathering, gap-fit analysis, testing, documentation, solution design, reporting, support and adoption.</li><li>It also demands end-to-end ownership: from understanding business requirements and mapping processes to hands-on SAP configuration, testing, and deployment.&nbsp;</li></ul> Responsibilities: <ul><li>Lead the functional analysis of SD requirements and translating them into S/4HANNA SAP solutions.</li><li>Perform configuration of SAP SD module.</li><li>Integrate SD with other SAP modules FICO and MM as well as Salesforce workflows/processes.</li><li>Troubleshoot, perform root cause analysis and resolve SAP issues at functional, configuration and technical levels.</li><li>Maintain, enhance and optimise SAP S/4HANA solutions in production.</li><li>Conduct user training and create user documentation as needed.</li><li>Identify and implement automation, reporting, and process improvements.</li><li>Work with our third-party vendor on L2 and L3 support</li><li>Ensure system stability, performance optimisation, and support patch upgrades and OS patching activities.</li></ul> Requirements: <ul><li>Bachelor’s degree in Business, Information Technology, or a related field (Master’s degree is a plus).</li><li>SAP S/4HANA Certification in SAP is a strong advantage, preferably SAP SD.</li><li>Ability to work on In-App Extensibility and BTP-based extensions and understanding of integration tools (SAP CPI, APIs) and CDS Views; experience in WRICEF objects</li><li>Minimum 3 years of SAP SD experience, including at least 1 full lifecycle implementation.</li><li>Proven ability to work both functionally and technically—from business process mapping to SAP configuration and testing.</li><li>Strong knowledge of SD with good understanding of Salesforce is highly preferred.</li><li>Experience integrating SD with FICO, MM, and PP modules and MES is highly advantageous</li><li>Ability to support one other module is highly advantageous.</li><li>Experience with SAP S/4HANA environments.</li><li>Excellent communication skills and the ability to work with cross-functional teams.</li><li>Strong analytical, problem-solving, self-driven and able to work independently to meet timelines.</li><li>Lead the functional analysis of SD requirements and translating them into S/4HANNA SAP solutions.</li><li>Perform configuration of SAP SD module.</li><li>Integrate SD with other SAP modules FICO and MM as well as Salesforce workflows/processes.</li></ul>

Responsibilities: <ul><li>Lead functional analysis workshops to gather and translate PP business requirements into SAP S/4HANA solutions.</li><li>Configure and support SAP PP module functionalities based on business needs.</li><li>Integrate SAP PP with modules including FICO, QM, AM, MM/EWM, and SD to support seamless production workflows.</li><li>Support SAP-MES integration and manufacturing process optimization.</li><li>Troubleshoot SAP issues, perform root cause analysis, and resolve functional, configuration, and technical problems.</li><li>Maintain, enhance, and optimize SAP S/4HANA solutions in production environments.</li><li>Collaborate with third-party vendors for L2 and L3 support activities.</li><li>Conduct user training sessions and prepare functional and technical documentation.</li><li>Identify opportunities for automation, reporting enhancements, and process improvements.</li><li>Ensure system stability, performance optimization, and support patch upgrades and releases.</li><li>Participate in testing activities including SIT, UAT, and regression testing.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in Business, Information Technology, Computer Science, or a related field.</li><li>Master’s degree is an advantage.</li><li>Minimum 7 years of SAP PP experience, including at least one full lifecycle SAP implementation.</li><li>Strong hands-on experience with SAP S/4HANA environments.</li><li>Proven expertise in SAP PP configuration, testing, and business process mapping.</li><li>Strong understanding of MES integration and manufacturing operations.</li><li>Experience integrating SAP PP with FICO, QM, AM, MM/EWM, and SD modules.</li><li>Ability to support at least one additional SAP module is highly advantageous.</li><li>Knowledge of SAP BTP extensions, In-App Extensibility, SAP CPI, APIs, CDS Views, and WRICEF objects is preferred.</li><li>SAP S/4HANA Certification, preferably in SAP PP, is highly desirable.</li><li>Excellent analytical, troubleshooting, and problem-solving skills.</li><li>Strong communication and stakeholder management abilities.</li><li>Self-driven, proactive, and capable of working independently within tight timelines.&nbsp;</li></ul>

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29 rest apis Jobs found

AI Transformation Engineer

AVP, Principal Software Engineer (Front-End)

Application Developer - Fullstack Developer

Software Engineer – Ag & Trade

ServiceNow Developer

VP, Engineering Manager

Intermediate App Developer – Production Engineering, Java

Senior App Developer – Java, Production Engineering

Business Analyst SAP SD

Business Analyst SAP PP

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AI Transformation Engineer

AVP, Principal Software Engineer (Front-End)

Application Developer - Fullstack Developer

Software Engineer – Ag & Trade

ServiceNow Developer

VP, Engineering Manager

Intermediate App Developer – Production Engineering, Java

Senior App Developer – Java, Production Engineering

Business Analyst SAP SD

Business Analyst SAP PP

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