325 jobs found

Job Title: Pega - Lead System Architect Job Location: Plano, TX / Charlotte, NC (3 Days Onsite, 2 Days work from home) Hybrid role Local Only Job Type: 12 Months contract The Senior Pega Developer will: Design, develop, and support complex Pega CLM solutions. Lead implementation of Trigger Based Refresh and modernization activities. Develop integrations with enterprise systems, databases, and external services. Drive application performance optimization, resiliency, and security improvements. Implement Pega best practices, guardrail compliance, and reusable framework components. Mentor junior developers and provide technical leadership across multiple workstreams. Partner with business, QA, platform, and vendor teams to accelerate solution delivery. Primary Skill: Pega CLM Secondary Skill: Pega / PegaRules Process Commander PRPC Tertiary Skill: PostgreSQL Required Qualifications Bachelors degree in computer science, Information Technology, Engineering, or a related field. 10+ years of software development experience. 5+ years of hands-on Pega development experience. Proven experience designing and implementing enterprise-scale Pega applications Strong expertise in Pega CLM, Case Management, Flows, and Integrations. Experience with Java, REST APIs, SQL, XML, and Enterprise Application Integration. Experience troubleshooting and optimizing large-scale Pega applications. Strong troubleshooting and performance tuning capabilities Pega Certified Senior System Architect (CSSA) Experience collaborating with Business Analysts, QA, Platform Engineering, and Architecture teams. Working knowledge of Agile/Scrum delivery methodologies. Desired Qualifications Master's degree preferred but not required Financial Services / AML / KYC domain experience Experience with Pega Constellation, Blueprint, and GenAI capabilities. Pega Certified Lead System Architect (CLSA) preferred

This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of days on-site can increase based on business needs. Job Summary: Private Cloud Operations (PCO) is responsible for the design and operations of Sysco's Data Center and Operating Sites ( OpSite ) compute /storage/backup worldwide in support of the company's strategic and resilient backbone. We are seeking an experienced and forward-thinking Senior Manager for the Private Cloud team . As the Senior Manager of Private Cloud, you will lead teams responsible for delivering services in a private cloud data center environment and guiding M&A/Integration teams during discovery , engineering, and migration and operations phases. This role oversees Edge Compute, Nutanix & VMware, Hyperconverged Infrastructure (HCI), DC Compute, DC Networking (SAN/Management/LAN), DC Storage including Nutanix Unified Storage (NUS), EMC, and Backup using HYCU. The ideal candidate will have strong planning and project management experience and will execute multiple, complex projects across diverse geographies. Duties and Responsibilities: Lead and manage teams responsible for Edge Compute, Nutanix, VMware, DC Compute, DC Storage, Backup (HYCU), and Hyperconverged Infrastructure. Foster a collaborative and high-performing team culture. Manage, train, and delegate to promote high-performing teams. Oversee the delivery of services within a private cloud data center. Ensure efficient and effective operations of Edge Compute, Nutanix, DC Compute, DC Storage (including NUS), and Backup services. Utilize project management experience to oversee global private cloud service delivery, ensuring redundancy, DR standards, and effective utilization . Provide technical leadership for teams with expertise in Nutanix & VMware, DC Compute, DC Storage (SAN/NAS), Backup (HYCU), Cisco networking, and fiber channel. Experience with NC2 and Hyperscaler bare metal preferred. Stay current with industry trends and advancements in private cloud technologies. Develop and execute strategic plans for Private Cloud services, identifying the correct mix of technologies for cost effective service delivery. Drive continuous improvement and efficiency initiatives. Collaborate with clients to understand needs and expectations. Ensure high levels of client satisfaction through effective service delivery . Lead initiatives involving VMware to Nutanix migrations and repatriation from hyperscalers (Azure, GCP, AWS) to Nutanix private cloud. Oversee private cloud chargeback models for virtual machines (VMs) and virtual desktop infrastructure (VDI). Utilize Nutanix Cloud Manager (NCM) Cost Governance for optimization and financial transparency. Education Required: Bachelor's degree with an IT, Management or Engineering focus Education Preferred: Bachelor's degree in computer information systems with a focus on management, and business operations. Experience Required: 7-10 years of relevant experience . Experience with a large virtual infrastructure environment ( 5,000 virtual servers and VDI) in multiple datacenter and extended to hyperscalers . Experience Preferred: Proven experience leading Global IT teams responsible for server, backup, and/or storage delivery in private cloud environments , preferably in a Fortune 500 environment . Strong understanding of server, storage, network, compute , and hyperconverged infrastructure technologies. Experience with VMware and Nutanix Virtualization Technologies. Experience with Nutanix Unified Storage (NUS) and VMware VSAN . Experience with SuperMicro , Dell PowerEdge, and HPE ProLiant servers. Experience with VMware to Nutanix migrations and cloud repatriation from Azure, GCP, and AWS. Previous experience in strategic planning and execution of private cloud initiatives. Previous experience manage refresh lifecycles, budgets, and enterprise security and patch management. Technical Skills and Abilities: 5+ years of team and people management experience. 5+ years of experience in data center design, operations, and hardware lifecycle management. Excellent vendor management and engagement expertise . 3+ years of data center management, monitoring, metrics, and dashboards. Advanced knowledge of IT infrastructure operations, configurations, tools, and service processes. Advanced experience in configuration management of IT assets and data center facilities. Experience managing cross functional relationships with internal and external stakeholders. Maintain documentation and flow processes. Experience in diverse data center environments from Colo, Hyperscalers , and Edge ( >100 Edge sites). Strong professionalism, customer service, and dependability. Ability to apply comprehensive technical knowledge. Strong written and verbal communication . Intermediate to advanced Excel skills. Ability to build Standard Operation Procedures with Office products Ability to put together presentations in PowerPoint for Sr. Leadership to communicate status, asks, and strategy are critical for this role. Exceptional leadership, problem solving, decision making, and time management skills. Ability to work in a hybrid schedule (3 days per week onsite in Houston, Texas). Ability to work in a team environment. Physical Demands: Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Travel Requirements: Regular travel required (10-15%) . Work Environment: Hybrid schedule with expectation of at least 3 days a week in the office in Houston, Texas . Fast paced team environment with a high level of communication. This is a global team and the successful candidate will be expected to be able to manage team members in North America, Northern Europe , Asia . Experience working with teams in Global Delivery centers will be critical to being able to success in this role.

JT4, LLC is looking for a highly experienced Senior Software Systems Engineer that is highly proficient with object oriented software design and that is also well versed with live-virtual-constructive simulation and aircraft avionics to MIL-STD-1153 and MIL-STD-1773. The position will manage software/system projects and provide guidance to technical staff. JT4, LLC provides engineering and technical support to multiple western test ranges for the U.S. Air Force, Space Force, and Navy under the Joint Range Technical Services Contract, better known as J-Tech II. JT4 develops and maintains realistic, integrated test and training environments and prepares our nation's war-fighting aircraft, weapons systems, and aircrews for today's missions and tomorrow's global challenges. An ideal candidate will have an active secret clearance This position located at China Lake and is not eligible for telework Range Requirements Demonstrates a knowledge of standard programming algorithms, design patterns, and object-oriented software design Demonstrated ability to program using C++ language code, C, and Python 3 Develops parallel processes, threading, process communication Familiar with utilizing Git for daily code management, including branching, merging, and resolving conflicts within a collaborative development environment Works proficiently with Git in both Bash (Linux) and Windows environments Interacts with remote repositories, pushes code updates, and manages local repositories Adheres to established branching strategies and understands the implications of working with master/production branches Collaborates with team members to design future enhancements Familiarity with time-series analysis a plus Familiarity with Red Hat Linux Familiarity with live-virtual-constructive simulation and aircraft avionics, MIL-STD-1153 and MIL-STD-1773 Individual must be capable of obtaining and maintaining a DOD Top Secret clearance Job Summary Essential Functions/Duties A Senior Software Systems Engineer IV provides software and systems engineering services, generally as a senior member of a work unit or group. Employee will be responsible for the following functions/duties: Manage software/system projects and provide guidance to technical staff Interact with customers and project managers on a regular basis Use broad judgment in defining and solving technical or managerial issues of the highest complexity or of far-reaching significance Capture and manage customer requirements at a system level and develop and analyze the most appropriate approach to solve complex technical problems Function as the system architect overseeing the overall design and configuration management of systems Develop the design of system/software and associated design documentation Prepare and conduct design reviews Implement design through software coding or hardware and document the design implementation Plan and execute unit, integration, and system testing Manage maintenance and sustainment activities of the system/software Provide work direction to subordinate technical staff Establish and maintain positive customer relations Support pursuit of new business efforts, lead proposal efforts, and act as a technical consultant Perform other job-related duties, as required Requirements Education, Technical, and Work Experience One of the following educational requirements must be met for this position: A bachelor's degree in an associated discipline and a minimum of eight years of related experience A master's degree in an associated discipline and a minimum of six years of experience A PhD in an associated discipline and a minimum of four years of experience In addition, a Senior Software Systems Engineer IV must possess the following qualifications: Demonstrated expertise with computer-based systems and applications Excellent programming skills in languages used for job-specific programming tasks Experience in the application of industry standard hardware and software design and documentation techniques Extensive knowledge of systems engineering and software development lifecycles Effective oral and written communication skills Good planning/organizational skills Ability to work under deadlines Salary The expected salary range for this position is $131,601.60 to $158,601.60 annually. Note: The salary range offered for this position is a good faith description of the expected salary range this role will pay. JT4 considers factors such as (but not limited to) responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market/business considerations when extending an offer. Other Responsibilities Each employee must read, understand, and implement the general and specific operational, safety, quality, and environmental requirements of all plans, procedures, and policies pertaining to their job. Working Conditions Work is performed in a typical office environment with no unusual hazards. Occasional lifting (up to 20 pounds), constant sitting while using the computer terminal, constant use of sight abilities while reviewing documents, constant use of speech/hearing abilities for communication, and constant mental alertness are required. Travel to remote company work locations may be required. Disclaimer The above statements are intended to describe the general nature and level of work being performed by personnel assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of persons so classified. Tasking is in support of a federal government contract that requires U.S. citizenship. Some jobs may require a candidate to be eligible for a government security clearance, state-issued driver's license or other licenses / certifications and the inability to obtain and maintain the required clearance, license or certification may affect an employee's ability to maintain employment. SCC: JSD12; A4CLR

Responsible for leading the creation of a technology framework and providing technical leadership to support cloud computing and automation efforts, with a focus on the design of systems and services that run on cloud platforms designed to support processing highly classified data. Essential Job Functions: Provide architectural leadership and best practices to cloud-based DevOps application development teams. Responsible for ensuring that critical applications are designed and optimized for high availability and disaster recovery. Strong leadership and team-building skills, and must be able to collaborate effectively with a group of high performing individuals. Support development and review of the full range of documentation and products required by DoDI 5000.02. Assist with execution of the USAF Airworthiness process per MIL-HDBK-516 and the AF Life-Cycle Systems Engineering (LCSE) and Operational Safety, Suitability, and Effectiveness (OSS&E) processes as prescribed by AFMCI 63-1201. Support implementation of Air Force Integrity Programs. Support requirements development, allocation, and verification. Support review and evaluation of weapon system design, analyses, and verification documentation and reports. Gather and develop technical and business data necessary to build and, as required, present program briefs. Support program meetings, working groups, and technical and business reviews as needed. Analyze equipment and software performance deficiencies and make recommendations for corrective actions. Support development of contract and documentation changes and updates. Support source selections in a technical advisory role as requested. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Must have bachelor's degree in Computer Science or a closely related subject. Have least 10 years' experience in designing large and complex IT operations in large organizations, research environments or academic environments. TS/SCI clearance is required. Desired Skills: A master's degree in Computer Science or a closely related subject is highly desired.

Position Title: Senior IT Solutions Analyst (EDI) Description: Senior IT Solutions Analyst (EDI) Location: Beachwood, OH. Shift: Monday - Friday 8am -5pm (Onsite 4 days a week) The Senior IT Solutions Analyst leads the design, delivery, and support of enterprise technology solutions across multiple large-scale projects. This role works closely with business stakeholders to translate requirements into technical solutions, ensuring systems are scalable, efficient, and aligned with business needs. The analyst serves as the primary IT contact, manages cross-functional teams, and drives projects from concept through implementation. Key Responsibilities Partner with business and operations leaders to gather requirements and recommend solutions Translate business needs into system and technical specifications Design and implement scalable IT solutions across enterprise applications Lead multiple concurrent projects, including planning, timelines, milestones, and delivery Coordinate with internal teams, offshore resources, and external vendors Oversee system testing, quality, and documentation Provide ongoing support, issue resolution, and system enhancements Act as primary point of contact for stakeholders and ensure clear communication Mentor junior team members and contribute to team development Technical Skills Enterprise integration & EDI systems (preferred) Programming: Java, JavaScript, C++, C#, .NET Platforms: Windows Server, Unix/Linux Databases: Oracle, SQL Server, DB2 Legacy systems: AS/400 (RPG/400, CL) Integration tools: WebMethods Web technologies: HTML, XML/XSL Strong understanding of SDLC, system design, and testing methodologies Experience & Qualifications Bachelor's degree in IT, Computer Science, or related field 10+ years of experience in systems analysis or IT solutions delivery 3-5 years of experience leading large-scale, complex projects Experience managing multiple projects simultaneously Proven ability to design and deliver enterprise-level solutions Certifications such as PMP, Lean, Six Sigma (preferred) Core Competencies Strong analytical and problem-solving skills Excellent communication and stakeholder management Project leadership and organizational skills Ability to manage offshore/onshore resources Customer-focused mindset with a consultative approach Ability to work under pressure and meet deadlines 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: Information Technology Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: Requirements PI

Immediate long term contract opportunity for Senior Azure Cloud Engineer with direct client in Philadelphia, PA. Trigyn has a long-term contract opportunity for Senior Azure Cloud Engineer with our direct client - a major utility services firm based in Philadelphia, Pennsylvania. Details on the role are listed below: Description: We are seeking a Senior Azure Cloud Engineer to operate, enhance, and expand our existing Azure environment. This role will take ownership of day-to-day Azure infrastructure operations while driving improvements, supporting new projects, and making sound architectural decisions. Responsibilities: • Operate and maintain the existing Azure landing zone and subscription structure • Ensure high availability, performance, and reliability of Azure workloads • Manage core services including networking, compute, storage, identity, and monitoring • Serve as the primary Azure subject matter expert • Design and implement new Azure infrastructure as business needs arise • Extend and evolve the current landing zone architecture • Lead infrastructure components of application deployments • Evaluate new Azure services and recommend adoption where appropriate • Make architectural decisions aligned with best practices and long-term scalability • Partner with security teams on hardening initiatives • Manage Azure networking including VNet peering, private endpoints, NSGs • Automate operational tasks using PowerShell or Azure CLI • Standardize deployment patterns and documentation • Manage Azure Monitor and Log Analytics • Implement proactive alerting and health monitoring • Manage budgets, reservations, and cost reporting Required Skills: • 6-8 years of overall infrastructure experience • 4+ years of hands-on cloud (MS Azure specifically) experience in production environments • Experience operating and improving an existing Azure landing zone • Strong Azure networking knowledge (VNet peering, VPN, Private Endpoints, NSGs) • Experience with Azure Policy, RBAC, and governance frameworks • Infrastructure as Code experience (Terraform strongly preferred) • Strong PowerShell or Azure CLI automation skills • Experience supporting hybrid cloud environments • Strong troubleshooting and problem-solving skills • Monitor server performance, diagnostic tests, and failovers. • Collaborate with different teams to troubleshoot applications. • Participate in disaster recovery exercises • Administer and maintain hybrid identity solutions (Entra ID / Azure AD Connect) and cloud-only identity environments. • Provide administration and policy management for Microsoft 365 services including Exchange Online, Teams, and Intune. • Experience with managing devices and policies in Intune. • Lead Office 365 projects as the primary contact for technical support. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources deployed today. Trigyn is ISO 9001:2015, ISO 27001:2013 (ISMS) and CMMI Level 5 Certified. Trigyn is an E-Verify Employer.

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.

As a key member of our cybersecurity team, you will be instrumental in guiding the application of IT security controls that ensure the confidentiality, integrity, and availability of system data and resources. Your solutions will align with existing system and network configurations, collaborating closely with configuration managers to maintain seamless security integration. In this position, you will lead critical functions related to the Risk Management Framework (RMF), overseeing the approval, sustainment, and disposition of Department of Defense (DoD) Information Systems. This includes continuous monitoring, vulnerability assessments, and coordination with Certified Defense Contractors to ensure compliance. You will also facilitate changes, maintenance approvals, and work alongside the Security Control Assessor (SCA) and Authorizing Official Designated Representative (AODR). Additionally, you will maintain organizational networks, manage accounts, audit systems, and conduct vulnerability scans. Your expertise will serve as a key resource, providing vital cybersecurity insights and guidance to civilian and military personnel, and senior leadership. You'll play an essential role in government inspections and audits, ensuring that all systems comply with the highest regulatory standards. Skills / Experience Required Top Secret with Sensitive Compartmented Information (TS/SCI) eligible May be required to consent to and successfully complete a Government Counterintelligence Scope Polygraph 10+ years of relevant experience within the Department of Defense 4+ years experience in SAP/SCI environment and worked in this environment within the last five years Ability to work in a dynamic environment with a diverse group of individuals focused on the accomplishment of a common objectives Provide recommendations to senior leadership to help ensure mission success Capable of conveying complex information in a simplistic manner Able to take proactive measures to prevent problems rather than reactive by nature Excellent written and oral interpersonal skills and attention to detail Strong critical thinking and problem-solving skills Education / Certifications Master of Arts/Master of Science/Master of Engineering in Computer Science, Cybersecurity, MIS, or related degree Relevant work experience/training certifications may be considered in lieu of a degree Minimum 1 year of experience using Risk Management Framework (RMF) IT security controls and policies Minimum DoD 8140/DoD 8570 IASAE Level II Certification Benefits Medical, dental, vision, disability, and life insurance Flexible Spending Accounts 401(k) PTO Paid Parental leave Tuition reimbursement Paid federal holidays Keenbee Talent Solutions is a Native Alaskan Women owned sdb specializing in the placement of highly skilled professionals in Accounting and Finance, IT/MIS and Biomedical. Keenbee has been in business since 1997 servicing New Mexico and the surrounding states with high results. Keenbee Talent Solutions is an equal opportunity employment agency. We do not discriminate based on race, color, national origin, religion, ancestry, sex, age, disability, serious medical condition, spousal affiliation, sexual orientation, gender identity, or other classifications protected under the law.

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.

Lead - Cloud Operations Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future Step into a role as a Cloud Operations - Lead Engineer, where you will balance hands-on engineering with technical leadership across our hybrid cloud estate comprised of AWS, Azure, and on-premises data centers. You will be the go-to resource the Cloud Operations team relies on to help drive best practices within operations, automation and self-healing, mature disaster recovery practices, and establish observability standards with well-defined SLAs and SLOs for our infrastructure and cloud workloads. You'll also help lead cloud migration initiatives that modernize and consolidate our environments, paving the way toward engineering management roles. Your Responsibilities on the Team Serve as the senior technical lead across the Cloud Operations portfolio of AWS & Azure. Taking delegated initiatives and driving them to completion. Lead day-to-day operations, optimization, and incident response across cloud and on-premises environments. Help plan and execute the migration of workloads from on-premises data centers and Azure into AWS as the primary cloud platform. Propose, design, and implement automation, self-healing, and auto-remediation to reduce manual toil and improve reliability. Architect and maintain infrastructure as code using Terraform, with version control and CI/CD delivered through GitHub, Terraform, and Spotify Backstage. Design, document, and test disaster recovery, backup, failover, and business-continuity strategies across cloud and data center environments. Set and uphold server administration standards for Linux and Windows, including server patching and lifecycle management. Oversee data center operations with a focus on storage, virtualization, and capacity management, supporting hybrid integrations with cloud platforms. Partner with security, platform, DevEx, and application teams to embed best practices in reliability, observability, governance, and cost optimization. Mentor engineers and grow the team's technical depth across the cloud operations domains. Experience maintaining and improving Citrix and/or comparable DaaS solutions a plus. Requirements Bachelor's degree in Computer Science, Information Technology, or related field preferred. 8+ years of experience in cloud operations, infrastructure, or systems engineering, including hands-on work in AWS and Azure. Broad, hands-on expertise across multiple cloud operations domains: AWS and Azure; Linux and Windows server administration; patching; virtualization and storage; experience with Database systems a plus (MSSQL/Postgres). Proven experience with infrastructure as code (Terraform) and version control/CI-CD workflows in GitHub. Demonstrated experience designing and implementing automation, self-healing, and disaster recovery in production environments. Experience leading or supporting large-scale cloud migrations (data center and multi-cloud into a primary cloud platform). Proficiency in scripting (Python, PowerShell, Bash) for automation and integration. Strong communicator and mentor able to take delegated initiatives and lead them independently. Certifications (one or more preferred): AWS Solutions Architect - Professional; Microsoft Azure Administrator or Azure Solutions Architect Expert; HashiCorp Certified: Terraform Associate. Physical & Office/Site Presence Requirements This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities, and activities may change at any time with or without notice. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Scrum Master Job Number: 25-04946 Be part of a company that delivers life-changing healthcare solutions. ECLARO is looking for a Scrum Master for our client in Lawrenceville, NJ. ECLARO's client is a leader in the Biopharmaceutical Industry, providing quality, innovative, and affordable medicines that make a difference in the lives of patients all over the world. If you're up to the challenge, then take a chance at this rewarding opportunity! Position Overview: The Scrum Master for Digital Projects at GPS BI&T will be responsible for facilitating and guiding the Agile development process for the initiatives. This role involves working closely with cross-functional teams, including data scientists, machine learning engineers, software developers, and product owners, to ensure the successful delivery of Digital projects. The Scrum Master will help the team adhere to Agile principles, remove impediments, and foster a culture of continuous improvement. By fulfilling the responsibilities and duties, the Scrum Master for AI Projects will play a critical role in ensuring the successful delivery of AI initiatives, fostering a culture of collaboration and continuous improvement, and driving the organization's strategic goals in the field of artificial intelligence. Responsibilities: Facilitate Agile Processes: Scrum Ceremonies: Organize and facilitate all Scrum Ceremonies, including Daily Stand-Ups, Sprint Planning, Sprint Reviews, and Retrospectives. Sprint Planning: Assist the team in defining sprint goals, planning tasks, and estimating effort for each sprint. Backlog Management: Work with the Product Owner to ensure the product backlog is well-groomed, prioritized, and ready for upcoming Sprints. Team Support and Coaching: Agile Coaching: Coach team members on Agile principles and practices, helping them to understand and adopt Scrum methodologies. Remove Impediments: Identify and remove any impediments or obstacles that may hinder the team's progress. Foster Collaboration: Promote a collaborative team environment where open communication, trust, and respect are encouraged. Project Coordination: Cross-Functional Collaboration: Coordinate with cross-functional teams, including data scientists, machine learning engineers, software developers, and other stakeholders, to ensure alignment and integration of projects. Stakeholder Communication: Maintain clear and effective communication with stakeholders, providing regular updates on project status, risks, and issues. Continuous Improvement: Retrospectives: Facilitate sprint retrospectives to identify areas for improvement and implement actionable plans to enhance team performance. Process Optimization: Continuously assess and improve Agile processes and practices to increase efficiency and effectiveness. Performance Tracking and Reporting: Metrics and KPIs: Track and report on key performance indicators (KPIs) and metrics to measure team performance and project progress. Progress Reporting: Prepare and present regular progress reports to stakeholders and senior management. Risk Management: Risk Identification: Identify potential risks and issues that may impact project delivery and develop mitigation strategies. Issue Resolution: Proactively address and resolve any issues that arise during the project lifecycle. Qualifications: Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field. A Master's Degree or relevant certifications (e.g., Certified Scrum Master (CSM), PMI-ACP) is a plus. Experience: experience as a Scrum Master, with a proven track record of successfully delivering software development projects. Pharma GxP software development experience, preferred. Agile Expertise: Strong knowledge of Agile methodologies (e.g., Scrum, Kanban) and best practices. Leadership and Communication: Excellent leadership, communication, and interpersonal skills to effectively manage teams and engage stakeholders. Analytical and Problem-Solving: Strong analytical and problem-solving skills to identify issues, assess risks, and develop solutions. Facilitation Skills: Ability to facilitate meetings, discussions, and decision-making processes effectively. Adaptability: Flexibility to adapt to changing priorities and project requirements. Collaboration: Strong ability to work collaboratively with cross-functional teams and stakeholders. Attention to Detail: High level of attention to detail to ensure project deliverables meet quality standards. Continuous Improvement: Commitment to continuous learning and improvement of Agile practices and processes. Physical Requirements: Ability to work in a standard office environment, using a computer and other office equipment. Pay Rate: $78 - $83 / Hour If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Jane Bautista Jane Bautista LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

Job Title: Digital Signal Processing Engineer (Sr. Levels) Department: Engineering Reports To: Director of Engineering Job Summary Vanteon is seeking applicants for a senior-level Digital Signal Processing Engineer position. The specific title will depend on the candidate's level of experience. The candidate will be responsible for modem and waveform development, digital signal processing, analysis & simulation for wireless systems, and RF system design. This is not an entry-level role; it requires advanced education and experience in communications and signal processing. Only qualified applicants will be considered for this position. Duties/Responsibilities The following is a list of expected duties for the position. It is not fully inclusive, and additional ones may be assigned as determined by management: Develop and implement algorithms for digital signal processing applications. Design and optimize digital filters, signal transforms, and other signal processing techniques. Analyze and interpret data to extract meaningful insights and develop actionable recommendations. Collaborate with cross-functional teams to integrate signal processing solutions into hardware or software systems. Conduct performance evaluation and optimization of signal processing algorithms on various platforms. Participate in the design and development of real-time signal processing systems. Troubleshoot and debug signal processing algorithms and systems to ensure optimal performance. Document design specifications, implementation details, and testing procedures. Provide technical guidance and support to other team members on signal processing-related issues. Conduct research and feasibility studies to explore new signal processing techniques and applications. Perform simulation and modeling of signal processing systems using specialized software tools. Required Specialized Skills/Knowledge Technical experience with: Digital communications and RF systems experience, including modem and link margin analysis Hardware and FPGA development experience (VHDL or Verilog) Digital filter techniques, Fourier Analysis, and tracking loops RF circuit design (cascades, mixing, amplifiers, filtering, oscillators, etc.) Nonlinear circuits, measurements, and simulation techniques Experience with relevant software tools, including: MATLAB/Simulink, plus DSP Systems Toolbox (required) MathWorks HDL Coder (required) Mentor Graphics ModelSim LabVIEW TI Code Composer Studio Xilinx Vivado and Intel Quartus Prime Experience using signal generators, network analyzers, spectrum analyzers, and logic analyzers Knowledge of common wireless standards and techniques Technical project leadership skills Strong verbal and written communication skills Education and Experience PhD. (or be in candidacy) in Communications and Signal Processing 5+ years of experience in digital signal processing design (or related academic research) Other Requirements Training and regular duties require a regular in-office presence. Hybrid/flexible scheduling is available based on business needs. Although minimal, some circumstances may require a weekly commitment above 40 hours or hours outside of regular business hours. Minimal travel may be required for client visits and tradeshows. Physical Requirements Prolonged periods sitting at a desk and working on a computer Be able to perform low to moderately strenuous physical activities requiring standing, walking, and reaching. Must be able to lift up to 15 pounds at times. The physical demands described above represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Equal Opportunity Employer Vanteon Corporation provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Compensation Range Although a candidate's compensation will depend heavily on their skills and experience, the anticipated compensation range for this position is $150,000 to $175,000, plus a competitive benefits package. The position is eligible for a variety of bonuses, including client referrals, employee referrals, publications, and extra effort. Relocation assistance may be available for well-qualified candidates. Applying Applicants should submit a resume and cover letter to Ronnie Ells - . Please note that all offers for hire are contingent on passing e-verification and background and drug screenings. In addition, you must be able to work with ITAR and CUI data. Only applicants who meet the minimum education requirement and have the necessary specialized skills will be contacted for further consideration. About Vanteon Vanteon LLC, a wholly owned subsidiary of Performance Drone Works, is an engineering services company specializing in wireless and RF design. We offer Analog, Digital, RF, Hardware, Software, and FPGA design services. At Vanteon, we develop products for companies that range from small start-ups to large Fortune 50 companies. The designs we create include Software-Defined Radio (SDR), Wi-Fi, Bluetooth, etc., for markets such as telecom (3G, 4G, 5G cellular), Aviation, Medical, Government, Industrial, and more. Types of projects include handheld devices, wearables, RADAR, signal/spectrum analyzers, and wireless widgets of all kinds. Vanteon has been voted one of the "Best Companies to Work for in NY" for 15 years running; most times, we've ranked in the top 5.

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.