AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

VDI & Endpoint Lead Engineer (AVP)

Senior Quantum 3D Integration and Packaging Engineer

Senior Process Engineer (R&D)

Assistant Vice President - Principal Engineer

AVP, Principal Software Engineer (Senior Technical lead)

MFG & Process DVL Engineer 2

AVP, Principal Software Engineer (Front-End)

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>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: <ul><li>Administer and support enterprise VDI platforms including Omnissa Horizon, VMware ESXi, Citrix, and Nutanix environments.</li><li>Perform daily monitoring, maintenance, and operational support for VDI infrastructure and virtual desktop services.</li><li>Support endpoint management platforms including Microsoft Intune and Microsoft Endpoint Configuration Manager (MECM/SCCM).</li><li>Assist with device provisioning, software deployment, operating system patching, and endpoint compliance activities.</li><li>Support endpoint security technologies including Microsoft Defender for Endpoint and Trellix Endpoint Security.</li><li>Investigate, troubleshoot, and resolve VDI, endpoint, and endpoint security incidents.</li><li>Perform root cause analysis and support service restoration activities for production incidents.</li><li>Support platform upgrades, patching, maintenance windows, and technology refresh initiatives.</li><li>Monitor platform health, identify issues proactively, and escalate complex issues where required.</li><li>Maintain operational documentation, technical procedures, and support records.</li><li>Collaborate with infrastructure, network, security, and application support teams on issue resolution and platform improvements.</li><li>Participate in after-hours support and maintenance activities when required.</li></ul> Requirements: <ul><li>3-7 years of experience in End User Computing (EUC), VDI, or Endpoint Infrastructure support.</li><li>Hands-on experience supporting:&nbsp;</li><li>Omnissa Horizon / VMware Horizon</li><li>VMware ESXi and vCenter</li><li>Microsoft Intune</li><li>Microsoft Endpoint Configuration Manager (MECM/SCCM)</li><li>Microsoft Defender for Endpoint</li><li>Experience supporting enterprise-scale VDI environments.</li><li>Strong troubleshooting skills across virtual desktop and endpoint platforms.</li><li>Experience supporting production environments and incident management activities.</li><li>Good understanding of endpoint lifecycle management, software deployment, and patch management.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>

Responsibilities: <ul><li>Create 3D integration and packaging solutions for different platforms and quantum structures</li><li>Work with advanced packaging, process, hardware, and metrology team to develop new materials, processes, and structures for quantum devices</li><li>Design, collect data, analyze and compile reports on a variety of difficult process engineering experiments, within safety guidelines</li><li>Troubleshoot a variety of complex problems, perform Root Cause Analysis and resolve a variety of difficult process engineering issues</li><li>Generate internal and external documentation for products, presentations and technical reports</li><li>Design and conduct experiment, measure material and device properties and interpret data</li><li>Keep up to date with the latest advancements in 3D integration, quantum information, and related fields to continually implement new technologies, enhance approaches, and develop methodologies</li><li>Collaborate with customers, start-ups, or universities to identify key problems and develop enabling solutions</li></ul> Requirements: <ul><li>PhD, Masters, or Bachelors degree in Materials Science, Electrical Engineering, Physics, Microelectronics, or a related field.</li><li>5+ years of experience in advanced packaging, 3D integration, heterogeneous integration, or semiconductor process development.</li><li>Strong knowledge of wafer-level packaging, hybrid bonding, TSV, chiplets, flip-chip, and related packaging technologies.</li><li>Hands-on experience in semiconductor fabrication, process integration, materials characterization, and metrology.</li><li>Experience with DOE, data analysis, process optimization, and root cause analysis.</li><li>Familiarity with quantum devices, superconducting technologies, photonics, or cryogenic systems is a strong plus.</li><li>Strong problem-solving, technical communication, and cross-functional collaboration skills.</li><li>Ability to work effectively with customers, startups, universities, and multidisciplinary R&amp;D teams.</li></ul>

Responsibilities: <ul><li>Design, collect data, analyze and compile reports on a variety of difficult process engineering experiments, within safety guidelines</li><li>Perform hardware characterization on a variety of difficult systems, within safety guidelines</li><li>Troubleshoot a variety of complex problems, perform Root Cause Analysis and resolve a variety of difficult process engineering issues</li><li>Generate internal and external documentation for products, presentations and technical reports</li><li>Interact with customers to resolve a variety of difficult process engineering issues/problems with limited supervision</li><li>Measure film properties and interpret data</li><li>Identify, select and work with vendors and suppliers with limited supervision</li><li>Implement new technology, products and analytical instrumentation</li></ul> Requirements: <ul><li>PhD or Masters Degree in Materials Science, Chemical Engineering, Chemistry or Physics or related field</li><li>Research focus in semiconductor would be an added advantage</li><li>Relevant experiences in semiconductor process development field</li><li>Good communication and interpersonal skills</li><li>Problem-solver attitude with determination and quality-mindset</li></ul>

Responsibilities: <ul><li>Lead the design and architect solutions that meet SYF business requirements to deliver business value by enabling rapid innovation through modern software development practices and product delivery through rapid innovation and continuous integration. In-depth knowledge of credit application and web application platforms.</li><li>Perform Technology Alternate Assessment, create Proof-of-Concept (as necessary) Provides guidance and direction to product teams to ensure compliance with the standards and best practices Work collaboratively with Product Management and Platform Engineering teams during development, launch and continuing refinement of products iteratively</li><li>Lead Agile sprints as the technical expert, including sprint planning, daily standups, backlog grooming sessions, and sprint reviews Influence and collaborate with software developers, UX designers, product managers, application architects, and customer application experts to create high performing and reliable application components.</li><li>Work with third party vendors to develop software and/or integrate their software into the companys products</li><li>Drive a CI/CD strategy using our Jenkins, Bitbucket, and uDeploy stack.</li><li>Maintain deep hands-on technical knowledge of evaluating trends in modern software development practices.</li></ul> Requirements: <ul><li>Bachelor’s degree and a minimum 7 years of experience with software engineering OR, in lieu of degree 9 years of experience with software engineering.</li><li>5+ years of applied Java experience</li><li>5+ years of hands-on experience in Credit Card Acquisition platform with ample knowledge in credit card application processing and decisioning systems.</li><li>Experience in Front End UI (JavaScript/Typescript) development and Backend Java programming.</li><li>Critical Thinking, creativity and problem-solving skills.</li><li>Strong analytical and problem-solving skills.</li><li>Excellence in technical communication with technical and non-technical peers.</li><li>Basic understanding of Artificial Intelligence.</li></ul>

Responsibilities: <ul><li>Lead the development effort for cloud-native applications across the Caching Solutions and Rewards System teams, ensuring timely execution against committed business outcomes.</li><li>Drive business commitments by aligning scope, sequencing, and technical approach with Product Management, and ensuring delivery plans are realistic, transparent, and measurable.</li><li>Design and implement continuous integration and continuous delivery (CI/CD) processes to deliver applications to production, fostering a culture of continuous process improvement.</li><li>Provide hands-on technical leadership through architecture/design reviews, code reviews, and guidance to engineers to ensure compliance with standards and best practices.</li><li>Perform Technology Alternate Assessments and create Proofs-of-Concept (as necessary) to validate options and inform technical decisions.</li><li>Work collaboratively with Product Management and Platform Engineering teams during development, launch, and continuing refinement of products iteratively.</li><li>Collaborate with internal technical resources and third-party vendors to resolve issues, understand</li><li>underlying causes, and implement sustainable solutions.</li><li>Work with team members to design, architect, and implement solutions across geographic locations, ensuring effective coordination and consistent engineering execution.</li><li>Coordinate and communicate status across stakeholders, and report delivery progress, risks, and dependency needs to leadership on a regular cadence.</li><li>Maintain deep hands-on technical knowledge by evaluating trends in modern software development practices; continuously learn and stay at the leading edge of industry trends.</li></ul> Requirements: <ul><li>Bachelor’s Degree with 8+ years of system engineering experience, or in lieu of a degree 10+ years of skilled system engineering experience.</li><li>8+ years of Strong hands-on development experience in Java and Spring Boot for building enterprise-grade services.</li><li>5+ years of Proven expertise in designing and implementing cloud-native applications using a microservices-based architecture.</li><li>Solid knowledge of event streaming and processing patterns using Kafka.</li><li>Experience deploying and operating applications on cloud platforms such as AWS and PCF (Pivotal Cloud Foundry).</li><li>Strong understanding of data storage and caching concepts and implementations using GemFire, Redis &amp; Elastic cache.</li><li>5+ years of Working knowledge of database design and persistence using MySQL, Aurora SQL &amp; no SQL.</li><li>Experience with observability, logging, and production monitoring, including tools such as Splunk and New Relic</li></ul>

Responsibilities: <ul><li>High-Speed Stamping Die Design – Hands-on experience in designing and developing high-precision, high-speed progressive dies, including strip layout, component design, tolerance management, die trials, troubleshooting, and prove-out.</li><li>DFM &amp; Product Understanding – Excellent DFM skills with strong knowledge of automotive product drawings, GD&amp;T, and customer specifications, converting product requirements into feasible stamping concepts.</li><li>Die Costing &amp; Project Management – Proficient in die cost estimation covering materials, machining, standard components, and tooling investment, with end-to-end project handling from RFQ and design through validation and PPAP.</li><li>Communication &amp; Negotiation – Strong communication and negotiation skills for effective customer, supplier, and cross-functional coordination, including technical discussions, change management, timelines, and cost negotiations</li><li>Demonstrate a proactive approach and apply lateral thinking to solve problems and improve processes.</li></ul> Requirements: <ul><li>Bachelor’s degree in mechanical engineering</li><li>Post Diploma in Tool design</li><li>Diploma in Tool making</li><li>5 to 10 years of relevant experience.</li><li>Proficient with CAD software – 3D modelling, 2D drafting, and assembly.</li><li>Proficient with MS Office tools.</li><li>Good knowledge in manufacturing processes.</li><li>Good communication skills for stakeholder interaction; proactive and capable of lateral thinking.</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>

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132 fpga engineer Jobs found

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

VDI & Endpoint Lead Engineer (AVP)

Senior Quantum 3D Integration and Packaging Engineer

Senior Process Engineer (R&D)

Assistant Vice President - Principal Engineer

AVP, Principal Software Engineer (Senior Technical lead)

MFG & Process DVL Engineer 2

AVP, Principal Software Engineer (Front-End)

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132 fpga engineer Jobs found

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

VDI & Endpoint Lead Engineer (AVP)

Senior Quantum 3D Integration and Packaging Engineer

Senior Process Engineer (R&D)

Assistant Vice President - Principal Engineer

AVP, Principal Software Engineer (Senior Technical lead)

MFG & Process DVL Engineer 2

AVP, Principal Software Engineer (Front-End)

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

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