L3 Lead -  (Datamart/MXML/Risk)

Credit Risk Lead - VP1

Consulting Engineer - Collaboration

Consulting Engineer - Data Center

Principal NAND Reliability Product Engineer

Fronted End Central Process Integration Senior Engineer

AVP/VP, Software Engineer, Technology Group

Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

Responsibilities: <ul><li>Plan technical and functional deliverables (including any system enhancements and upgrades) to meet project’s requirements within allocated budget and schedule.</li><li>Plan, monitor and manage risks/issues related to technical delivery. </li><li>Take ownership of any issues that may impact the delivery quality and timeline.</li><li>Provide status update related to technical delivery to TDM/Project Manager (PM)/ Program Manager.</li><li>Plan &amp; allocate resources to support EOD tasks &amp; day to day Production tasks requiring assistance.</li><li>Oversee the deployment tasks, arrange for peer review of codes, maker-checker assignment &amp; updating status to release team.</li><li>Own the delivery plan. Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions. Follow up on the proposed solution and fix the problem</li><li>Manage stakeholders throughout the duration of the role. Ensure project governance is adhered to, any changes are documented and approved</li></ul> Requirements: <ul><li>Bachelors degree in computer science, engineering or similar domain</li><li>Strong Murex skills (Datamart/MXML/Risk)</li><li>Good business domain knowledge in Global Markets and Group Risk</li><li>More than 10 years track record in developing and delivering global/regional IT capabilities for a multi-national/regional company with annual budgetary responsibility</li><li>More than 3 years leadership experience in managing IT delivery teams</li><li>Experience in communicating with functional and technical stakeholders</li><li>Experience in banking industry preferred</li><li>Experience in implementing large-scale, highly available applications or other large project implementation</li><li>Experience in service-oriented technologies</li><li>Proven result-oriented person with a focus on delivery</li><li>Experience in actual systems development work, with prior coding, functional specifications and technical specifications and systems development and testing experience (in aggregate no less than 8 years)</li><li>Good understanding and experience in software development cycle</li><li>Highly effective communicating with technical stakeholders, proficient communicating with non-technical stakeholders</li><li>Good problem solving, analytical, synthesis, system thinking and solutioning skills</li></ul>

Responsibilities: <ul><li>Work with different IT teams across infrastructure, and other divisions to deliver system solutions for the business.</li><li>Build a strong relationship and manage expectations with users and stake holders.</li><li>Oversee Credit Risk delivery and align team (including any system enhancements and upgrades) to meet project’s requirements within allocated budget and schedule.</li><li>Plan, monitor and manage risks/issues related to Functional delivery. </li><li>Take ownership of any issues that may impact the delivery quality and timeline.</li><li>Provide status update related to technical delivery to TDM/Project Manager (PM)/ Program Manager.</li><li>Own the delivery plan. Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions. Follow up on the proposed solution and fix the problem</li><li>Manage stakeholders throughout the duration of the role. Ensure project governance is adhered to, any changes are documented and approved</li></ul> Requirements: <ul><li>Bachelors degree in computer science, engineering or similar domain</li><li>6-9 Years of experience in Murex Credit risk Domain (MLC, Limits monitoring, LRB &amp; counterparty risk )</li><li>Experience in major upgrade project in Risk domain.</li><li>Good understanding of Murex Credit Risk module</li><li>Strong business domain knowledge in Global Markets and Credit Risk</li><li>Experience in communicating with functional and technical stakeholders</li><li>Experience in banking industry preferred</li><li>Experience in implementing large-scale, highly available applications or another large project implementation</li><li>Experience in service-oriented technologies</li><li>Proven result-oriented person with a focus on delivery</li><li>Experience in actual systems development work, with prior coding, functional specifications and technical specifications and systems development and testing experience</li><li>Good understanding and experience in software development cycle</li><li>Highly effective communicating with technical stakeholders, proficient communicating with non-technical stakeholders</li><li>Good problem solving, analytical, synthesis, system thinking and solutioning skills</li></ul>

Responsibilities: <ul><li>Work on advanced Collaboration, Webex and strategic customer solutions, driving adoption, optimisation and long-term customer outcomes.</li><li>Engage directly with customers, building trusted relationships and translating business requirements into technical solutions.</li><li>Design, deploy, migrate, integrate, optimise and troubleshoot Collaboration and Webex environments.</li><li>Support complex migrations and integrations across and third-party technologies, ensuring interoperability and optimal performance.</li><li>Troubleshoot complex Collaboration issues across CUCM, Webex Calling, SIP, voice, video, endpoints and network infrastructure, collaborating with TAC and other stakeholders on CAP case resolution.</li><li>Support Executive Briefings and QBRs, providing technical insights and recommendations aligned to customer business priorities and future-state outcomes.</li><li>Create customer-facing technical documentation, implementation guidance and reusable technical content aligned to CX standards.</li><li>Leverage AI, automation, APIs, programmability and orchestration to improve technical delivery, productivity and customer outcomes, while validating AI-generated outputs.</li><li>Explain complex technical concepts to diverse audiences and enable customers to effectively adopt and operate solutions.</li><li>Build knowledge of competitor and third-party technologies to support migration, integration and solution optimisation.</li><li>Contribute to technical knowledge sharing, automation artefacts, documentation templates and continuous improvement of delivery methodologies.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, with 8–12 years of experience in company Contact Center technologies across Enterprise and Service Provider environments.</li><li>Strong expertise in Contact Center solutions, including architecture, design, deployment, and implementation of platforms such as Unified Contact Center Enterprise (UCCE), Intelligent Contact Management (ICM), Customer Voice Portal (CVP), Unified Customer Voice Portal (CVP), Unified Communications Manager (CUCM), Finesse, and Unified Border Element (CUBE).</li><li>Proven experience in designing and implementing company Collaboration Contact Center components, including Agent Desktop, ICM scripting, CVP Call Studio scripting, and Contact Center reporting and analytics solutions.</li><li>In-depth understanding of telephony and call routing technologies, including SIP, H.323, MGCP, SCCP, ISDN PRI, QSIG, FXO, FXS, and POTS, with strong troubleshooting and integration capabilities.</li><li>Solid grasp of call flow design, routing strategies, and voice infrastructure protocols within large-scale enterprise contact center deployments.</li><li>Experience working with company UCS infrastructure and VMware virtualization technologies, including vCenter, ESXi, and vSphere Client.</li><li>Solid grasp of TCP/IP networking fundamentals and supporting infrastructure services/protocols such as DHCP, DNS, TFTP, NTP, and LDAP.</li><li>Experience with Webex Contact Center (Webex CC), including solution planning, migration, deployment, and implementation activities.</li><li>Familiarity with AI-driven capabilities and integrations within UCCE, Webex Contact Center, and Webex Customer Experience solutions</li></ul>

Responsibilities: <ul><li>Serve as a trusted technical advisor to customers, providing expert guidance on Data Center and networking solutions.</li><li>Lead the strategy, design, and implementation of complex network architectures aligned with customer business objectives.</li><li>Manage end-to-end delivery of high-impact technical engagements, ensuring successful implementation and optimization.</li><li>Translate customer business requirements into scalable, secure, and high-performance technology solutions.</li><li>Collaborate with account teams, partners, and cross-functional teams to drive technology adoption and customer success.</li><li>Support pre-sales activities, including technical consultations, solution design, and architecture recommendations.</li><li>Drive technology transitions and deliver measurable business outcomes through innovative solutions.</li><li>Act as the primary escalation point for complex technical issues, providing advanced troubleshooting and problem resolution.</li><li>Leverage deep technical expertise across Data Center and networking technologies to resolve critical customer challenges.</li><li>Develop and contribute digital intellectual capital, reusable solutions, and best practices to improve delivery efficiency.</li><li>Promote continuous learning, mentorship, and knowledge sharing within the global Customer Experience (CX) team.</li><li>Strengthen customer relationships by delivering high-quality technical engagements and exceptional customer experiences.</li><li>Align technology strategies with customer goals to improve network performance, scalability, and operational efficiency.</li><li>Contribute to customer satisfaction, business growth, and the successful adoption of technologies.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science or equivalent, with 8–12 years of relevant experience in customer-facing technical consulting, pre-sales, and/or service delivery roles</li><li>Deep knowledge of L2/L3 networking protocols and technologies (vPC, STP, HSRP, OSPF, EIGRP, BGP) with strong hands-on Nexus 2K/5K/7K/9K platform experience</li><li>Lead &amp; drive technology design, implementation, execution, and/or optimization for projects/accounts to accelerate customer outcomes.</li><li>Proven experience in design and deployment of Data Center solutions including traditional DC standalone Nexus design, VXLAN Fabric and ACI Fabric solutions using ACI MultiPod /Multisite/Remote Leaf Fabric architectures.</li><li>Partnered with customers to design and implement network solutions, ensuring seamless system integration and proactive service assurance</li><li>Active Data Center certification such as CCIE or CCNP, or equivalent vendor certification (e.g. VCP)</li><li>Experience integrating network services appliances (such as firewalls, IPS, load balancers, WAN optimizers) within Data Center solution designs</li><li>Experience in&nbsp;Build and reviews project work e.g. Design recommendations, High-Level Design, Low-Level Design, Implementation/ Change Management Plans.</li></ul>

Responsibilities: <ul><li>Define and implement NAND Flash reliability test flows to assess product reliability performance and prevent extrinsic/intrinsic reliability escapes.</li><li>Perform high volume statistical data analysis to evaluate NAND DPM/ intrinsic reliability risks and trends.</li><li>Drive electrical failure analysis, including advance characterization, to identify root causes and solution spaces.</li><li>Develop short term countermeasures such as targeted stresses and screens, applying knowledge of digital/analog circuits, device physics, and process engineering.</li><li>Qualify the product with innovative control measures to provide best in Class DPM and Cell reliability.</li><li>Collaborate closely with Fab, NAND Technology, NAND Design, Product Development, System Development, and Quality/Reliability teams to develop solutions and enable shipment of high quality end products.</li></ul> Requirements: <ul><li>Bachelor’s degree&nbsp;with &gt; 10 years or Master’s degree&nbsp;with &gt; 7 years or PhD with &gt; 5 years&nbsp;of relevant experience in Electrical Engineering or related field.</li><li>Experience in Semiconductor Reliability, NAND Technology, and Electrical Failure Analysis.</li><li>In depth background in NAND Design, Device Physics, Circuits,&nbsp;Process, Test, Validation.&nbsp;</li><li>Experience with application of AI tools, LLMs ,&nbsp;data analysis tools (e.g., Python, JMP, Tableau)</li><li>Strong statistical analysis, communication, and problem solving skills.</li><li>Experience in leading cross functional projects and mentoring&nbsp;junior engineers.</li><li>Strong analytical and problem solving skills.</li><li>Team player and self driver.</li></ul>

Responsibilities: <ul><li>Collaborate with multi-functional network teams from PIE, Process &amp; Equipment Engineering, WLR, TD to improve product yields and reliability within your assigned process loop.</li><li>May require travel to global company sites to foster collaboration and drive execution.</li><li>Communicate module related issues to the Fab engineering and leadership teams.</li><li>Design, execute, and analyze experiments to improve fab process, yield, and quality.</li><li>Collect and interpret complex data to optimize Fab processes and increase yields.</li><li>Engage and/or lead cross-area engineering teams to tackle process issues.</li><li>Work closely with global partners to stay ahead of on module related topics and process alignment projects.</li><li>Collaborate with other PI module owners and sister fabs to drive business process alignment</li><li>Partner with IE, Process and Equipment Engineering and Production to better forecast and balance yield, output and process issues</li><li>Promote network synergy through improved benchmarking and standardization of known engineering best-known methods (BKMs), business process.</li></ul> Requirements: <ul><li>Bachelor’s or advanced degree in Engineering or Science is required</li><li>Strong analytical, logical, and critical thinking skills</li><li>Effective communicator, able to collaborate across all levels</li><li>Growth mindset with a passion for continuous learning</li><li>Internship or experience in the semiconductor industry is a plus</li><li>Demonstrated leadership and a track record of impact are highly desirable</li><li>Interest in and knowledge of the semiconductor industry and company is preferred.</li></ul>

Responsibilities: <ul><li>Collaborate and Innovate: Partner with portfolio managers, business managers, and product owners to tackle complex challenges and transform them into purposeful software solutions that drive our success</li><li>Design and Develop: Craft advanced algorithms and applications that significantly improve operational efficiency, enhance decision-making, and propel strategic initiatives forward</li><li>Leverage Emerging Technologies: Harness the power of machine learning and artificial intelligence to create innovative solutions that give us a competitive edge in the industry</li><li>Champion Excellence: Lead peer code reviews and share your technical expertise to cultivate a culture of continuous improvement and excellence</li><li>Ensure Quality: Execute rigorous System Integration Tests and work closely with business users on User Acceptance Tests to guarantee top-tier deliverables</li><li>Document and Guide: Develop comprehensive documentation and user guides to ensure seamless adoption and utilisation of new systems</li><li>Stay Ahead: Continuously explore and integrate emerging technologies to keep our solutions at the forefront of innovation&nbsp;</li></ul> Requirements: <ul><li>At least 5 years of relevant experience in software development, and hands-on experience in solution designing, software testing, and production support</li><li>Proficiency in Agile software development methodologies and practices such as Scrum, Kanban, or Test-Driven Development</li><li>Hands-on technical skills and good competency in Java and related frameworks such as Spring or Hibernate</li><li>Strong experience with Java / C# Dot Net / Typescript / Python</li><li>Preferred experience in relevant domains, including but not limited to the financial sector, such as SaaS integrations, enabling a deep understanding of industry-specific challenges and solutions</li><li>Familiarity with cloud platforms like AWS or Azure and containerisation technologies like Docker and Kubernetes</li><li>Strong team player who is keen to learn, independent, and possesses strong analytical, problem-solving, communication, and interpersonal skills</li><li>Passionate about understanding business requirements and using technology to transform or improve current state</li><li>Familiar with and interested in learning about current and emerging technology landscapes</li><li>Bachelor’s or equivalent degree in Science, Technology, Engineering, and Mathematics (STEM) related discipline is advantageous</li><li>Ability to adapt to a dynamic environment and demonstrate strong prioritisation skills</li><li>Experience leading engineering teams and/or mentoring junior software engineers is advantageous, especially for VP candidates&nbsp;</li></ul>

Role Description: <ul><li>Responsible for sales and business development for Two-Wheeler (2W) OEM customers within clients Automotive Business Unit.</li><li>Drive key account growth, customer acquisition, and execution of Component Aggregate Manufacturer (CAM) and Harness Maker (HM) development strategies.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Drive revenue growth for assigned 2W OEM accounts across Karnataka &amp; Tamil Nadu Region</li><li>Develop and execute account strategies aligned with Automotive BU objectives</li><li>Maintain strong relationships with key stakeholders across OEMs including procurement, engineering, and program teams&nbsp;</li><li>Identify and develop new business opportunities with 2W OEMs and emerging EV players&nbsp;</li><li>Lead Component Aggregate Manufacturer (CAM) engagement activities including RFQs, pricing, negotiations, and contract closure&nbsp;</li><li>Collaborate with engineering and product teams for new product introductions and customization&nbsp;</li><li>Drive Harness Maker (HM) ecosystem development for increased wallet share&nbsp;</li><li>Track market trends, competitor activity, and customer strategy in 2W segment&nbsp;</li><li>Ensure accurate sales forecasting and pipeline management&nbsp;</li><li>Drive design-in activities and support project lifecycle from concept to SOP</li><li>Intensive travel &amp; expected to be at customer’s location (more than 75% working days) within Karnataka &amp; Tamil Nadu Region</li></ul> Key Performance Indicators (KPIs)&nbsp; <ul><li>Retention and growth of existing business across assigned accounts&nbsp;</li><li>Comprehensive competition mapping and strategic counter-planning&nbsp;</li><li>Deep understanding and effective promotion of our client portfolio&nbsp;</li><li>Driving new product development (NPD) aligned with customer needs&nbsp;</li><li>Achieve and exceed revenue growth targets year-on-year&nbsp;</li><li>Maintain healthy Accounts Receivable (AR) and ensure timely collections&nbsp;</li><li>Build and sustain a strong 5-year revenue pipeline&nbsp;</li><li>Identify, understand, and capitalize on future trends in the 2W (ICE &amp; EV) industry&nbsp;</li><li>Increase our client content per vehicle/platform&nbsp;</li><li>Coordinate with cross-functional teams (CFTs) to drive new project wins and execution&nbsp;</li><li>Strong understanding of 2W ICE and EV architectures to enable solution selling&nbsp;</li></ul> Requirements:&nbsp; Qualifications &amp; Experience&nbsp; <ul><li>Bachelor’s degree in Engineering (Mechanical/Electrical/Electronics preferred); MBA is a plus&nbsp;</li><li>5-10 years of experience in automotive sales/business development&nbsp;</li><li>Strong exposure to Two-Wheeler OEMs in India&nbsp;</li><li>Experience in connectors, wiring harness, or automotive components preferred&nbsp;</li><li>Proven track record in key account management and business growth&nbsp;</li></ul> Skills&nbsp; <ul><li>Strong negotiation and influencing skills&nbsp;</li><li>Excellent relationship management&nbsp;</li><li>Strategic thinking and execution&nbsp;</li><li>Technical understanding of automotive electrical/electronic systems&nbsp;</li><li>Strong communication and presentation skills&nbsp;</li></ul>

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>

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70 solution architect web Jobs found

L3 Lead - (Datamart/MXML/Risk)

Credit Risk Lead - VP1

Consulting Engineer - Collaboration

Consulting Engineer - Data Center

Principal NAND Reliability Product Engineer

Fronted End Central Process Integration Senior Engineer

AVP/VP, Software Engineer, Technology Group

Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

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70 solution architect web Jobs found

L3 Lead - (Datamart/MXML/Risk)

Credit Risk Lead - VP1

Consulting Engineer - Collaboration

Consulting Engineer - Data Center

Principal NAND Reliability Product Engineer

Fronted End Central Process Integration Senior Engineer

AVP/VP, Software Engineer, Technology Group

Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

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