Vermeer

Suggested jobs from other companies

• MassMutual

  

  Lead AI Engineer

  2 days ago

  NEW YORK

  The Opportunity MassMutual’s AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You’ll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact • Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases—from ideation through production deployment and monitoring—using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability., • Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions., • Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment., • Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable., • Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem., • Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms., • Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team. The Minimum Qualifications • 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale., • Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks., • Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery., • Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks., • M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field, or equivalent years of relevant professional experience. The Ideal Qualifications • Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols., • Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards., • Breadth across AI and data science methods—including classical ML, causal inference, optimization, and Bayesian approaches—with comfort moving across techniques as problems demand., • Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search., • Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership., • Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry. What to Expect as Part of MassMutual and the Team • Regular meetings with the AI & Data Science team, • Focused one-on-one meetings with your manager, • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups, • Access to learning content on Degreed and other informational platforms, • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-MC1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

• MassMutual

  

  AI Platform Engineer

  2 days ago

  NEW YORK

  MassMutual’s AI Platform Engineering team is seeking an impact-driven AI Platform Engineer to serve as the technical anchor of our high-performing team. You will lead the design, deployment, set engineering standards, and drive the most complex platform initiatives from concept through production. This is a unique opportunity to work on the team that builds and operates the platform powering MassMutual’s AI initiatives. The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience—delivering foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to engineering excellence, clear documentation, and the kind of technical leadership that makes hard problems tractable. • Define architectural direction at the AI platform component level—cloud infrastructure, AI serving layers, developer tooling, and reliability strategy—and translate it into a concrete, prioritized roadmap., • Lead design on one of the platform’s most critical components—LLM gateway, multi-tenant compute isolation, model serving infrastructure, and enterprise integration patterns. Write ADRs that become the team’s engineering standards., • Serve as the first point of technical escalation for hard engineering decisions. Run design reviews, provide deep technical feedback on pull requests, and pair with engineers on the gnarliest problems., • Own the technical execution of major platform initiatives end to end—scoping, sequencing work, managing technical risk, and driving to production without losing quality., • Lead platform reliability strategy: define SLOs, shape the observability strategy, lead incident reviews, and continuously raise the bar on platform stability and operational maturity., • Lead technical design of governance and compliance controls—data residency, access management, audit logging, and AI usage policies—to satisfy enterprise customer requirements and compliance frameworks., • Drive cross-team alignment with AI engineering, product, and cloud engineering teams; communicate technical trade-offs clearly and represent platform capabilities to senior stakeholders., • Raise the technical craft of the team through thorough design reviews, documentation habits, and hands-on pairing—without managing anyone directly., • 5+ years in platform, infrastructure, or SRE, with a track record as a technical lead or staff-level IC with team-wide technical scope., • Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD) or equivalent AWS Certifications., • 3+ years experience in cloud-native architecture: Kubernetes at scale, managed cloud services, networking, identity federation, and multi-tenancy patterns across AWS, GCP, or Azure., • 3+ years experience of proven ownership of complex, multi-month platform initiatives—driven from whiteboard to production, managing ambiguity and technical risk throughout., • Strong IaC and GitOps fluency: Terraform or Pulumi, ArgoCD, with experience standardizing platform tooling and deployment patterns across engineering teams., • Hands-on experience with AI/ML infrastructure: model serving, inference pipelines, GPU resource management, or LLM integration patterns., • Experience mentoring engineers and influencing technical direction across teams., • Strong written communication: clear design docs, useful ADRs, and the ability to explain architectural decisions to both engineers and non-technical stakeholders., • LLM serving at scale—vLLM, Triton, Ray Serve—or experience with AI gateway design patterns., • Experience building an internal developer platform (IDP) from scratch, with a product mindset that obsesses over internal developer experience., • Strong grasp of AI safety, model evaluation, and governance frameworks., • Ability to lead through technical credibility—influencing design decisions, driving alignment, and raising quality without formal authority., • FinOps or GPU cost optimization experience across large inference workloads., • Open-source contributions to platform or ML infrastructure tooling., • Comfort with ambiguity: energized by undefined problem spaces, with a habit of building clarity and shared context where there isn’t any., • Regular meetings with the AI Platform Engineering team, • Focused one-on-one meetings with your manager, • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups, • Access to learning content on Degreed and other informational platforms, • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-SC1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

• Forhyre

  

  ServiceNow Technical Architect

  4 years ago

  New York

  Job Description We are looking for a ServiceNow Technical Architect to design the structure of our ITSM systems and oversee programs to ensure the proper architecture is implemented. The Technical Architect - ServiceNow, will contribute to a team of specialists working to assist our clients customers in understanding their ServiceNow environments. The Technical Architect - ServiceNow will join the IT & Software Asset Management (ITAM) Team to focus primarily on the implementation, configuration, and management of customers' ServiceNow platform. The Technical Architect - ServiceNow will be an expert in ServiceNow and have a proven methodology and best practice for implementation the ServiceNow platform and associated modules. To be successful the Technical Architect - ServiceNow will have a process definition supporting ServiceNow implementations and will be very experienced with the practical implications of implementing and sustaining those processes. The Technical Architect - ServiceNow will be a technical lead and member of an overall engagement project team focused on delivering successful customer outcomes; focusing primarily on leading the implementation of the ServiceNow platform and the implementation of ServiceNow ITAM, ITSM, ITOM, ITBM modules and the development of the modules specific to the customer business requirements and outcomes. Responsibilities • Implement ServiceNow Platform and specifically the ITSM, ITOM, ITBM and ITAM modules, • Support engagement efforts for process definition, re-engineering, improvement, and gap analysis of current/future-state processes during workshops with key customer sponsors and stakeholders, • Guide customers in their efforts to take maximum advantage of the investments made in the ServiceNow platform including improvements to business processes, • Lead technical aspects of project delivery and solution delivery for engagements, • Provide technical leadership on best practice for ongoing support of ServiceNow, • Lead the configuration and development of modules to meet customers' business outcomes and requirements, • Work with the customer to ensure the configuration of ServiceNow meets their overall requirements including drafting technically focused user stories, acceptance criteria, testing strategy, and knowledge transfer, • Guide and provide required oversight/training for the customer's system administrators throughout the engagement, • Provide support and technical consultancy for ServiceNow implementations and on-going BAU usage of ServiceNow, • Consult with Consultants and customers to improve processes and services for the usage of the ServiceNow Platform, • Lead the overall quality standard to ensure accuracy of customers' hardware and software asset information and how it is being used within the ServiceNow Platform, • Identify potential "problem" areas within customer ServiceNow environments and provide advice on problem resolution, • Keeps up to date with industry trends and new ServiceNow offerings to enhance the usability of the ServiceNow Platform, • Work with the customer during Kick-off calls to identify their requirements for the ServiceNow platform and modules, • Work with the customer during Kick-off or Discovery calls to identify the topography of their IT systems, products, and platforms they utilize and select the appropriate discovery tools to collect installation data from these environments, • Support sales and pre-sales activities as required, • Provide technical support to customers as they implement the ServiceNow platform and the respective modules such as but not limited to ITSM, ITAM, ITOM, and ITBM, • Work with the customer as needed until the ServiceNow platform and modules are delivering the required outcomes, • The Technical Architect - ServiceNow will complete all work within agreed timescales and KPI's, • Assist SHI teams in managing project timelines and customer expectations, • Develop into a "go-to" resource for others on the team as well as regional sales teams to answer ServiceNow specific questions; provide training and mentoring to other team members, • Attend, support and represent SHI at conferences and events, • See themselves as part of the greater whole in meeting or exceeding business objectives on a regular basis, as well as assistance in driving key initiatives for ITAM, • Stay up to date on new ServiceNow product offerings, take on-going training and certification and accreditations, • Maintain industry leading knowledge to understand all aspects of the ITAM and Software life-cycle - from licensing to purchasing to deployment to decommissioning

• Army National Guard

  

  12Y Geospatial Engineer

  1 day ago

  New York

  Ask your Army National Guard recruiter for the most up-to-date information. You can play an important part in disaster relief missions as a Geospatial Engineer for the Army National Guard. In the Army National Guard, you will learn these valuable job skills while earning a regular paycheck and quali

• Army National Guard

  

  12N Horizontal Construction Engineers

  1 day ago

  New York

  As a Horizontal Construction Engineer in the Army National Guard, you’ll handle the heavy lifting to help your crew succeed. In the Army National Guard, you will learn these valuable job skills while earning a regular paycheck and qualifying for tuition assistance. Military enlistment in the Army

• Trandon Associates, Inc

  

  HVAC Specialist / Building Engineer (Commercial - Non-Union)

  4 months ago

  New York

  Job Description HVAC Specialist / Building Engineer (Commercial – Non-Union) We are seeking a highly skilled HVAC Specialist / Building Engineer to join the operations team at a premier Class A commercial office property. This is a non-union position offering the opportunity to work with sophisticated building systems in a professional environment. This role is primarily focused on the operation, maintenance, and troubleshooting of HVAC systems, while also supporting general building operations as needed. Key Responsibilities • Perform preventive maintenance and repairs on HVAC systems and related mechanical equipment, • Operate and maintain a rooftop cooling tower servicing approximately 25 air handling units (AHUs), • Monitor and manage building systems through a Building Management System (BMS), • Replace belts, filters, and perform routine servicing of air handlers, • Lubricate fan shafts and motor bearings, • Inspect and service electrical components, including connections and contactors, • Pull and clean strainers, spray heads, and associated components, • Monitor cooling tower water levels and make necessary adjustments, • Troubleshoot system issues and respond to service calls in a timely manner, • Assist with general building maintenance and support overall facility operations Qualifications • Minimum 10+ years of hands-on HVAC experience in a commercial building environment, • Strong knowledge of air handlers, cooling towers, and mechanical systems, • Experience working with BMS systems (monitoring and basic troubleshooting), • Solid understanding of electrical and mechanical components related to HVAC systems, • Ability to work independently and manage multiple priorities Certifications (Required) • FDNY Fire & Life Safety Director (F-89 / FLSD), • FDNY S-12 (Citywide Standpipe Certificate), • FDNY S-13 (Citywide Sprinkler Certificate)

• Capital One

  

  Sr. Lead AI Engineer (AI Foundations)

  26 days ago

  New York

  Sr. Lead AI Engineer (AI Foundations)\n \n \n Overview: \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n Team Description: \n \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n In this role, you will: \n \n \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n \n The Ideal Candidate: \n \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n \n \n Basic Qualifications: \n \n \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, or Java \n\n \n \n Preferred Qualifications: \n \n \n\n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

• KPMG

  

  Associate or Senior Associate, Fixed Assets / Cost Segregation Engineer (AMCS)

  1 day ago

  New York

  Minimum one year of recent experience in an engineering firm, corporation, or publicaccounting firm; background in cost segregation, fixed asset consulting, construction, engineering, or a related technical field is preferred. Minimum two years of recent experience in an engineering firm, corporatio