106 jobs found

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on April 28, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024. Leveraging Visa's solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo's cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards. Pismo's 500+ employees are located in more than 10 countries around the world. Job Description Key Responsibilities Design and govern real-time and event driven data architectures leveraging Apache Kafka and Azure streaming services (e.g., Azure Event Hubs with Kafka compatibility, Azure Stream Analytics). Define and maintain end to end data architecture patterns across real time, near real time, and batch processing paradigms. Develop and maintain reference architectures, data flow diagrams, and technical standards to guide platform and delivery teams. Partner closely with Data Engineering, Platform, and Enterprise Architecture teams to deliver solutions that are scalable, secure, well governed, and compliant. Lead proofs of concept (PoCs) and technology evaluations, providing clear architectural recommendations and trade off analyses. This is a Hybrid Position. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Preferred Qualifications • 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD • 8+ years' experience as a Data Architect or Senior Data Engineer, operating in complex enterprise environments. • Deep expertise in Streaming architectures, including managed or commercial distributions (e.g., Kafka compatible Azure Event Hubs or Confluent on Azure). Strong hands on experience with Azure data and analytics platforms, such as: • Azure Data Lake Storage Gen2 / Azure Blob Storage • Azure Event Hubs • Azure Data Factory • Azure Synapse Analytics • Azure Functions • Azure Kubernetes Service (AKS) or Azure Container Apps • Proven experience designing and delivering both streaming and batch data solutions at enterprise scale. • Excellent documentation, communication, and stakeholder management skills, with the ability to influence across technical and non technical audiences. • Nice to Have • Experience with Databricks, AWS and Apache Airflow (or equivalent orchestration and transformation tools). • Prior experience in Banking or financial services, particularly in architecture roles within regulated environments. U.S. Applicants Only The estimated salary range for this position is $173,100.00 to $ 276,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Our team needs a Senior Consultant level Machine Learning Engineer with proven knowledge of web application and web service development who will focus on crafting new capabilities for the AI Platform while maturing our code base and development processes. You are a dedicated developer who can work and collaborate in a multifaceted environment as a valued member of our Agile Scrum teams. You should have strong problem-solving abilities and be passionate about coding, testing and debugging skills. You know how to fill product backlog and deliver production-ready code. You must be willing to go beyond the routine and be prepared to do a little bit of everything. As an integral part of the development team, you will sometimes explore new requirements and design, and at times refactor existing functionality for performance and maintainability. But the goal is always working on ways to make us more efficient and provide better solutions to our end customers. Flexibility and willingness to tackle new tasks as needed are significant to success. If this sounds exciting to you, we would love to discuss and tell you more about our work! Essential Functions: Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions. Drive development effort End-to-End for timely delivery of high quality solutions that conform to requirements, conform to the architectural vision, and align with all applicable standards. Responsibilities span all phases of solution development. Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a detailed and timely manner. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Expert in at least one of the following: Golang, Java, or C/C++ • Experience with web service standards and related patterns (REST, gRPC) • Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low-latency, & strong data consistency computing • Experience implementing solutions for low-latency, distributed services using open standard technologies. • Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce • Experience with distributed caching technologies like Redis • Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring. • Experience architecting solutions with Continuous Integration and Continuous Delivery in mind U.S. Applicants Only The estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world . Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally . Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. The Data Product team is seeking a Senior Product Manager II to drive measurement strategy and analytics instrumentation across ESPN's portfolio of digital products. The team sits at the intersection of the analytics and business teams who depend on trusted data and the engineering teams who build the systems that produce it - and this role is where those worlds meet. You'll own instrumentation outcomes across ESPN digital products driving measurement strategy, schema design, and end-to-end delivery across web, mobile, and connected TV. The scope runs the full lifecycle: from defining what gets measured and why, through implementation and validation support, to ensuring downstream teams have the reliable, well-documented data they can build on. Own data collection outcomes for ESPN's digital products - accountable for completeness, accuracy, and usability across your instrumentation domain. Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs. Convert stakeholder questions into precise instrumentation specs - events, parameters, identifiers, schemas - that engineers can implement without ambiguity across platforms. Drive instrumentation from discovery through launch, orchestrating delivery across Product Engineering, Analytics Engineering, QA, and Platform partners. Work directly with engineering to ensure instrumentation is implemented correctly and meets platform standards - the bridge between measurement intent and technical reality. Configure and operate the analytics platform stack hands-on: implementation, maintenance, and optimization to support reliable, self-service analysis. Proactively identify instrumentation gaps and drive resolution through sharper specs, stronger validation, and tight coordination with engineering and QA. Use data to audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions. Mentor peer PMs and share instrumentation expertise across the team. You bring deep technical fluency in data collection and instrumentation, strong judgment about what measurement actually matters, and the communication skills to align engineers, analysts, and business leaders. You hold yourself to a standard of data quality that makes the difference between insights organizations trust and data they work around. Basic Qualifications 7 years or more in analytics instrumentation, data product management, or analytics engineering - with a track record of owning outcomes, not just executing tasks Deep hands-on experience designing event-based data models and instrumentation schemas across web, mobile, and connected TV - including event taxonomies, parameter design, identifier strategies, and implementable data contracts Ability to translate ambiguous business questions into precise instrumentation specifications - closing the gap between what stakeholders need to know and what engineers build SQL fluency and hands-on experience in cloud data platforms (Snowflake, Databricks, BigQuery , or equivalent) to validate data quality, investigate anomalies, and own your analysis Experience configuring and operating enterprise analytics platforms at scale - owning implementation, validation, and maintenance, not just strategy Proven ability to orchestrate cross-functional instrumentation delivery across Product Engineering, Analytics, QA, and platform partners A bias for action and an ownership mindset: you solve problems end-to-end and are equally comfortable debugging a data issue and presenting measurement strategy to senior leadership You use AI-enabled tools as a genuine force multiplier - this is how you work, not a skill you're developing Clear, crisp communication: precise technical specs, accessible explanations of instrumentation tradeoffs for non-technical stakeholders, and the ability to influence across engineering, product and analytics Preferred Qualifications Experience with sports, media, or direct-to-consumer digital products at scale Hands-on experience implementing solutions from Adobe's Customer Experience (CX) Analytics suite - Adobe Analytics, Customer Journey Analytics, or Adobe Experience Platform - at enterprise scale Expert understanding of media industry measurement solutions (Nielsen, Comscore ) and how they're implemented and integrated within a major media organization Familiarity with event-driven architectures or streaming data infrastructure and their connection to downstream analytics Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboarding solutions Working knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA) and their practical implications for instrumentation design Required Education Bachelor's degree in computer science, Engineering, Business, Analytics, or related field, or equivalent practical experience. The hiring range for this position in Bristol, CT is $155,700 - $208,700 and New York City, NY is $163,100 - $218,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Why Zensar? We re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships, with our clients and with each other and happiness is at the core of everything we do. In fact, we re so into happiness that we ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition grow, own, achieve, learn (GOAL) lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar! Zensar is seeking a Adobe Experience Platform (AEP) Architect -Hybrid model(3 days onsite- San Ramon, CA).This is open for Full time with excellent benefits and Contract Role as well with outstanding growth opportunities. You might really grab our attention if you have: Role: Adobe Experience Platform (AEP) Architect Location: San Ramon, CA-3 days onsite Experience: 10+ Years Overall 5+ Years in Adobe Experience Platform (AEP), Adobe RTCDP, and Adobe Experience Cloud Ecosystem Role Summary: We are seeking a highly experienced Adobe CDP Onsite Specialist who combines the expertise of an Adobe Solution Architect, Hands-on Developer, and Integration Specialist. The individual will serve as the primary onsite lead for the implementation, integration, and activation of Adobe Experience Platform (AEP), Adobe Real-Time CDP (RTCDP), Customer Journey Analytics (CJA), Adobe Journey Optimizer (AJO), Adobe Target, AEM, CRM, and other enterprise data sources. The role requires close collaboration with Business, Marketing, Sales Operations, Data, and IT teams, translating business objectives into scalable customer data and activation solutions while ensuring seamless integration across the ecosystem. The candidate will act as the trusted advisor to stakeholders and own end-to-end solution delivery from discovery through activation and optimization. Responsibilities are aligned with Adobe CDP architecture, integration, data modeling, identity resolution, and cross-platform activation practices referenced across internal Adobe CDP implementation initiatives. Adobe AEP & RTCDP Solution Architecture: Lead the end-to-end architecture and implementation of Adobe Experience Platform and Adobe Real-Time CDP. Define customer, account, and behavioral data models leveraging XDM standards. Design profile schemas, datasets, identity namespaces, and profile stitching strategies. Establish governance, privacy, consent management, and data usage frameworks. Review and approve solution designs, architecture decisions, and technical specifications. Business & Stakeholder Management: Act as the primary onsite point of contact for business and IT stakeholders. Facilitate requirement workshops and discovery sessions with Marketing, Digital, Data, Analytics, Sales, and Technology teams. Translate business objectives into scalable Adobe CDP use cases and solution designs. Drive alignment across Marketing, CRM, Commerce, Analytics, Data Engineering, and Security teams. Present architecture, solution recommendations, project status, and implementation roadmaps to senior leadership. Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired. All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions. Zensar values your privacy. We'll use your data in accordance with our privacy statement located at:

Job Title: Senior MicroStrategy BI Developer Location: Charlotte, NC (Onsite Required) Duration: Contract - 11 months Pay Range: $65.05/hr (W2) Job ID: 406728 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Software Engineer III to join our dynamic team supporting the Opex - Medallia project. The ideal candidate will have strong experience in MicroStrategy, Oracle, PL/SQL, and data modeling and a proven ability to design, develop, test, and migrate complex BI reports and dashboards, including conversions from OBIEE to MicroStrategy. Responsibilities: Design, develop, test, and migrate complex BI reports and dashboards in MicroStrategy. Convert existing OBIEE reports to MicroStrategy with attention to data accuracy and performance. Perform end-to-end analysis including requirements gathering, data modeling, and technical design for HR and operational reporting. Write and optimize SQL and PL/SQL scripts against Oracle data warehouse and big data environments for analysis, discovery, and testing. Develop visually clear, consumable dashboards and analytics for business stakeholders. Ensure scalable reporting architecture as new warehouse functionality is introduced. Collaborate with architects to translate business objectives and technical requirements into engineering solutions following sound practices. Work with large-scale data transformations involving millions of rows with performance considerations. Required Skills & Qualifications: MicroStrategy Certified Developer (v9/10) with hands-on dashboard and report development experience. Strong Oracle and PL/SQL proficiency, including performance tuning and complex query development. Data modeling expertise for BI and data warehouse solutions. Experience with large-scale data warehousing and report migration from OBIEE to MicroStrategy. Preferred Skills: Background in HR and operational reporting domains. Experience collaborating with enterprise architects on target architectures. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

JOB TITLE: Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE : $78 - 84/ hour JOB NUMBER: REQUIRED EXPERIENCE: Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands on experience in data engineering, analytics, or data architecture. Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns. Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies. Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.g., vulnerabilities, threats, controls, risk). Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases. Experience collaborating closely with data engineering, platform, and architecture teams to ensure long term operability and support. CISM CISSP Preferred Qualifications Cybersecurity certifications (e.g., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience). Demonstrated experience applying advanced analytics techniques (e.g., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems. Experience incorporating or experimenting with AI enabled analytics or development tools (e.g., Claude, AI code assistants, agent based analytics) in a secure enterprise environment. Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices. Strong proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to deliver executive ready, actionable insights. Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE Telecommunication & CK. Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms. Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities. Track record of leading or delivering end to end data and analytics initiatives that materially improved Cyber risk management, visibility, or decision making. Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and non technical audiences. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.