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Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Secret What You Will Do: As a Salesforce Technical Architect / Senior Technical Architect, you will serve as the technical authority and trusted advisor for large-scale Salesforce implementations supporting Federal and Public Sector clients. You will be responsible for leading solution architecture, technical strategy, and delivery oversight across complex digital transformation programs. Key responsibilities include: Serve as the lead Salesforce architect for enterprise-scale Public Sector engagements, providing strategic guidance on platform capabilities, architecture decisions, and implementation approaches. Partner with clients, business stakeholders, product owners, and delivery teams to define solution roadmaps that align business objectives with Salesforce platform capabilities. Lead architecture and solution design activities across Salesforce products including Public Sector Solutions, Service Cloud, Experience Cloud, Platform, OmniStudio, and custom applications. Develop scalable, secure, and maintainable architectures that incorporate data models, application design, integrations, identity management, and security controls. Provide technical leadership during proposal development, solutioning, discovery sessions, and client presentations to support business development and pre-sales activities. Define and document end-to-end solution architectures, technical specifications, integration patterns, and deployment strategies. Architect complex integrations between Salesforce and external systems leveraging APIs, middleware platforms, cloud services, and enterprise data sources. Review and approve technical designs, code quality, architecture deliverables, and implementation approaches across project teams. Establish architecture governance processes and ensure adherence to Salesforce and industry best practices. Work closely with Delivery Managers and project leadership to identify, assess, and mitigate technical risks, dependencies, and implementation challenges. Guide development teams through architectural decisions and provide technical troubleshooting support throughout project lifecycles. Mentor developers, administrators, consultants, and junior architects while fostering technical excellence across the organization. Evaluate emerging Salesforce capabilities, AI-driven solutions, and platform innovations to identify opportunities for increased business value and improved client outcomes. Present technical concepts, recommendations, and solution strategies to executive leadership, technical teams, and business stakeholders. Support program planning and technology strategy discussions while ensuring solutions remain scalable, extensible, and aligned with long-term business objectives. Travel may be required based on client and project needs. What You Will Need: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience). 8+ years of experience designing and delivering enterprise technology solutions, with significant experience serving as a Salesforce Architect, Solution Architect, or Technical Architect. US Citizenship is contractually required for this role Selected candidate must be able to obtain security clearance Deep expertise in Salesforce architecture, including platform design, security architecture, data modeling, integration architecture, and application development. Experience leading complex Salesforce implementations for Federal, State, Local Government, or Public Sector organizations. Strong knowledge of Salesforce platform capabilities, including Service Cloud, Experience Cloud, Platform, Flow Automation, Apex, Lightning Framework, APIs, and DevOps methodologies. Proven experience designing enterprise integration solutions utilizing REST/SOAP APIs, middleware platforms, and data synchronization strategies. Strong understanding of Salesforce security architecture, role hierarchy, permission models, data protection, and compliance requirements. Exceptional communication and presentation skills with the ability to explain complex technical concepts to both technical and non-technical audiences. Experience facilitating architecture workshops, discovery sessions, and executive stakeholder meetings. Demonstrated ability to analyze, redesign, and optimize business processes through technology solutions. Strong problem-solving skills with the ability to navigate ambiguous, high-visibility, and complex technical challenges. Experience leading distributed project teams and providing technical governance across multiple workstreams. Ability to influence stakeholders and effectively advocate for best practices, standards, and architectural decisions. Hands-on application design and development experience within enterprise environments. What Would Be Nice To Have: Salesforce Certified Technical Architect (CTA), Application Architect, System Architect, or equivalent Salesforce certifications. Experience supporting Federal digital modernization and large-scale Public Sector transformation initiatives. Hands-on experience implementing Salesforce Public Sector Solutions (PSS) / Agentforce Public Sector. Strong experience with OmniStudio, including FlexCards, OmniScripts, DataRaptors, and Integration Procedures. Experience designing solutions within FedRAMP, government cloud, or highly regulated environments. Knowledge of enterprise architecture frameworks such as TOGAF or similar methodologies. Experience with DevOps and CI/CD tools including Copado, Gearset, AutoRABIT, Azure DevOps, or Git-based deployment frameworks. Understanding of AI, Agentforce, and emerging Salesforce platform capabilities. Experience leading architecture reviews, governance boards, and technical steering committees. Prior experience mentoring architects, developers, and technical delivery teams within consulting organizations. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies . click apply for full job details

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details

Strategic Business Development Manager Strategic Business Development Manager JOB DESCRIPTION Department: Commercial / Brand Partnerships Status: Full Time Salary Location: Remote/ Hybrid Work Schedule Last date revised: August 2026 ABOUT US: We are a rapidly growing company named Fast Company's Most Innovative Beauty Company for 2023. Our mission is to enhance lives through healthy skin, partnering with beauty brands to develop and manufacture products that promote skin health for all. We believe the future of sun care is the future of beauty . ABOUT THE POSITION: (why does job exist) The Strategic Business Development Manager is responsible for identifying, developing, and growing strategic brand partnership relationships that integrate Solesence's manufacturing capabilities, formulation expertise, and Turnkey product development model into attractive market opportunities - delivering brand partners a cost-effective, speed-to-market competitive advantage. This role owns new business development across both Turnkey and Brand Supplied sourcing paths, and manages a portfolio of strategic accounts from initial engagement through long-term growth. The Strategic Business Development Manager reports to the Vice President, Brand Partnerships. ESSENTIAL DUTIES AND RESPONSIBILITIES: Develop a clear, working understanding of Solesence's business model, manufacturing capabilities, and Turnkey development process, and articulate Solesence's value proposition relative to competitors. Through in-depth market and customer analysis, identify and qualify new brand partnership opportunities - across both Turnkey and Brand Supplied sourcing paths - and build tactical plans to pursue priority accounts and applications. Lead Turnkey development engagements from concept through formulation, regulatory review, and launch, defining critical path and milestones and coordinating closely with R&D, Regulatory, Quality, and Operations to keep programs on track. Own strategic account relationships for an assigned portfolio of brand partners - serving as the primary point of contact for pipeline management, contract negotiation, renewal, and cross-functional coordination. Identify and present new development programs, including critical path and key milestones, to relevant internal functions and leadership. Serve as the key liaison between brand partners and Solesence's internal departments (R&D, Operations, Regulatory, Quality) within identified market segments. Drive retention and expansion strategies for existing strategic accounts to grow share of wallet and deepen long-term partnerships. OTHER RESPONSIBILITIES: Responsive to brand partners' needs; follows through on all requests, written and verbal. Attends trade shows and industry conferences, both educational and customer-facing. Implements recommendations from the strategic commercial / marketing plan. Assists in developing business plans for new Turnkey product development initiatives. Able to assess abstract opportunities and build structured plans for implementing growth strategies. Proactively generates new business opportunities through calls, email, mailings, and industry outreach to prospective and existing brand partners. Manages strategic accounts across a diversified brand partner portfolio. KNOWLEDGE AND SKILLS: Strong background in beauty, personal care, or CPG business development; working knowledge of the contract manufacturing / Turnkey model strongly preferred. Demonstrated experience in Turnkey product development (concept-to-launch) and/or strategic account management. Strong intellectual and analytical ability; skilled at evaluating market and customer information. Minimum of five years of business experience, ideally in product development, account management, or business development within the beauty, personal care, or FDA-regulated OTC products industry. Experience in both large and small company environments preferred. Hands-on, can-do attitude. Ability to identify, organize, and lead key alliances and development partnerships. Excellent written and oral communication and presentation skills. Background in specialty chemicals, cosmetics, or personal care formulation is a plus. KEY CHARACTER TRAITS: Proficient with MS Office and CRM / pipeline management tools; comfortable with standard business technology systems. Strong problem-solving skills; able to manage detail across multiple concurrent Turnkey programs and strategic accounts simultaneously. Proficient communicator and listener; able to translate brand partner needs into internal action. Works independently while collaborating effectively within a cross-functional team environment. Proactively seeks assistance when needed to meet deadlines and keep programs moving EDUCATION/EXPERIENCE: Bachelor's degree required. Science, chemistry, or business-related field preferred. Minimum 5-7 years of experience in the beauty, personal care, or a related regulated industry. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position in a manufacturing setting: Primarily sedentary work performed in an office environment, including extended periods of sitting at a desk and working on a computer. Frequent walking and standing required when working on the production floor, attending meetings, or engaging with customers. Exposure to manufacturing environments, which may include noise, dust, temperature variations, and the need to wear personal protective equipment (PPE). Ability to lift and carry materials such as files, laptops, or lab equipment weighing up to 40 pounds. Occasional travel between manufacturing sites or to attend off-site meetings, trainings, or conferences. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EQUAL EMPLOYMENT EMPLOYER Solésence Beauty Science is an Equal Employment Opportunity. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital or parental status, protected veteran status, disability status or any other characteristic protected by law. The compensation offered will be determined by factors such as level, job-related knowledge, skills, and experience. Under the Immigration Reform and Control Act (IRCA) of 1986, employers must verify both the identity and employment authorization of every employee. Therefore, employees and applicants must be authorized to work in the United States without the need for sponsorship. While our current hiring plans do not include sponsorship, we remain open to evaluating individual circumstances based on company needs and future opportunities. Compensation details: 00 Yearly Salary PI61dee-1126

Job DescriptionJob DescriptionCompany Description Founded in 2001, family owned and operated AireSpring is a leading Provider of Cloud Communications, Managed Connectivity and Managed Security which has earned its stellar reputation by taking service and support to the next level, delivering an award-winning customer experience that far exceeds the industry standards. AireSpring has delivered 20 years of outstanding service to its rapidly rising base of national and global customers, while growing organically and remaining debt free. As the trusted provider to over 22,000 enterprise locations worldwide, our mission is to help our clients connect and communicate easily. We aim to delight our customers and partners by providing personalized, outstanding service. The company has built a solid reputation of integrity, reliability and dependability with its channel partners, end-user customers and technology partners. We have received more than 100 coveted industry awards including "Product of the Year- SD-WAN and UCaaS", "Excellence in Customer Service", "Unified Communications Excellence", "Best in Show," "Best Telecom Deal" and "Top Channel Program". Job Description The Role: This is a delivery and coordination role, not a network engineering or software development position. The successful candidate will coordinate technical teams and client activities rather than design networks, write code, or directly configure IoT platforms. Key Responsibilities: Implementation Project Manager - IoT and Connectivity We are seeking a mid-level Project Manager to coordinate enterprise IoT, mobile connectivity, and device deployment projects. This role will manage timelines, client communication, project documentation, risks, and coordination across internal technical teams. This is a project delivery role, not a network engineering or software development position. You will work with engineering and carrier partners but will not be expected to design networks, write code, or configure cloud infrastructure. Responsibilities Manage project plans, milestones, deliverables, and action items Coordinate activities among clients, engineering, product, carriers, and support teams Lead project meetings and provide clear status updates Track risks, issues, dependencies, and changes Support device, SIM, and connectivity deployment activities Maintain project documentation and implementation records Escalate blockers and ensure timely resolution Assist with post-deployment reviews and customer follow-up Qualifications Required: 3+ years managing customer-facing implementation projects Strong organization and follow-through Experience coordinating technical teams Clear written and verbal communication Ability to manage timelines, risks, and client updates Preferred, but not required: Telecom, IoT, or mobility experience Familiarity with SIMs, cellular connectivity, or device provisioning Experience with Azure IoT or AWS IoT PMP or Scrum certification Additional Information WHAT THIS COMPANY OFFERS YOU: Medical Benefits with optional supplemental services through AFLAC Paid Time-Off Plan Paid Holidays 401K with employer match AT&T Discount on personal mobile plan This is a remote U.S.-based position. Candidates must be authorized to work in the United States and be available during Eastern Time business hours. All your information will be kept confidential according to EEO guidelines.

Senior Lead AI Engineer (GenAI Platform Services) Overview: 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. Team Description: 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. In this role, you will: 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. 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. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: 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 At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Job DescriptionJob DescriptionCompany Description Founded in 2001, family owned and operated AireSpring is a leading Provider of Cloud Communications, Managed Connectivity and Managed Security which has earned its stellar reputation by taking service and support to the next level, delivering an award-winning customer experience that far exceeds the industry standards. AireSpring has delivered 20 years of outstanding service to its rapidly rising base of national and global customers, while growing organically and remaining debt free. As the trusted provider to over 22,000 enterprise locations worldwide, our mission is to help our clients connect and communicate easily. We aim to delight our customers and partners by providing personalized, outstanding service. The company has built a solid reputation of integrity, reliability and dependability with its channel partners, end-user customers and technology partners. We have received more than 100 coveted industry awards including "Product of the Year- SD-WAN and UCaaS", "Excellence in Customer Service", "Unified Communications Excellence", "Best in Show," "Best Telecom Deal" and "Top Channel Program". Job Description The Role: This is a delivery and coordination role, not a network engineering or software development position. The successful candidate will coordinate technical teams and client activities rather than design networks, write code, or directly configure IoT platforms. Key Responsibilities: Implementation Project Manager - IoT and Connectivity We are seeking a mid-level Project Manager to coordinate enterprise IoT, mobile connectivity, and device deployment projects. This role will manage timelines, client communication, project documentation, risks, and coordination across internal technical teams. This is a project delivery role, not a network engineering or software development position. You will work with engineering and carrier partners but will not be expected to design networks, write code, or configure cloud infrastructure. Responsibilities Manage project plans, milestones, deliverables, and action items Coordinate activities among clients, engineering, product, carriers, and support teams Lead project meetings and provide clear status updates Track risks, issues, dependencies, and changes Support device, SIM, and connectivity deployment activities Maintain project documentation and implementation records Escalate blockers and ensure timely resolution Assist with post-deployment reviews and customer follow-up Qualifications Required: 3+ years managing customer-facing implementation projects Strong organization and follow-through Experience coordinating technical teams Clear written and verbal communication Ability to manage timelines, risks, and client updates Preferred, but not required: Telecom, IoT, or mobility experience Familiarity with SIMs, cellular connectivity, or device provisioning Experience with Azure IoT or AWS IoT PMP or Scrum certification Additional Information WHAT THIS COMPANY OFFERS YOU: Medical Benefits with optional supplemental services through AFLAC Paid Time-Off Plan Paid Holidays 401K with employer match AT&T Discount on personal mobile plan This is a remote U.S.-based position. Candidates must be authorized to work in the United States and be available during Eastern Time business hours. All your information will be kept confidential according to EEO guidelines.

Sr. Lead AI Engineer (Gen AI Platform Services) Overview: 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. Team Description: 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. In this role, you will: 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. 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. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: 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 At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Sr. Lead AI Engineer (GenAI Platform) Overview: 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. Team Description: 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. In this role, you will: 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. 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. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: 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 At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Job DescriptionJob DescriptionCompany Description Founded in 2001, family owned and operated AireSpring is a leading Provider of Cloud Communications, Managed Connectivity and Managed Security which has earned its stellar reputation by taking service and support to the next level, delivering an award-winning customer experience that far exceeds the industry standards. AireSpring has delivered 20 years of outstanding service to its rapidly rising base of national and global customers, while growing organically and remaining debt free. As the trusted provider to over 22,000 enterprise locations worldwide, our mission is to help our clients connect and communicate easily. We aim to delight our customers and partners by providing personalized, outstanding service. The company has built a solid reputation of integrity, reliability and dependability with its channel partners, end-user customers and technology partners. We have received more than 100 coveted industry awards including "Product of the Year- SD-WAN and UCaaS", "Excellence in Customer Service", "Unified Communications Excellence", "Best in Show," "Best Telecom Deal" and "Top Channel Program". Job Description The Role: This is a delivery and coordination role, not a network engineering or software development position. The successful candidate will coordinate technical teams and client activities rather than design networks, write code, or directly configure IoT platforms. Key Responsibilities: Implementation Project Manager - IoT and Connectivity We are seeking a mid-level Project Manager to coordinate enterprise IoT, mobile connectivity, and device deployment projects. This role will manage timelines, client communication, project documentation, risks, and coordination across internal technical teams. This is a project delivery role, not a network engineering or software development position. You will work with engineering and carrier partners but will not be expected to design networks, write code, or configure cloud infrastructure. Responsibilities Manage project plans, milestones, deliverables, and action items Coordinate activities among clients, engineering, product, carriers, and support teams Lead project meetings and provide clear status updates Track risks, issues, dependencies, and changes Support device, SIM, and connectivity deployment activities Maintain project documentation and implementation records Escalate blockers and ensure timely resolution Assist with post-deployment reviews and customer follow-up Qualifications Required: 3+ years managing customer-facing implementation projects Strong organization and follow-through Experience coordinating technical teams Clear written and verbal communication Ability to manage timelines, risks, and client updates Preferred, but not required: Telecom, IoT, or mobility experience Familiarity with SIMs, cellular connectivity, or device provisioning Experience with Azure IoT or AWS IoT PMP or Scrum certification Additional Information WHAT THIS COMPANY OFFERS YOU: Medical Benefits with optional supplemental services through AFLAC Paid Time-Off Plan Paid Holidays 401K with employer match AT&T Discount on personal mobile plan This is a remote U.S.-based position. Candidates must be authorized to work in the United States and be available during Eastern Time business hours. All your information will be kept confidential according to EEO guidelines.

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details

AI Engineer 5 (Gen AI Platform Services - Agentic AI) Overview: 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. Team Description: 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. What You'll Do: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: 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 Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production 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 You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: 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 At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities . click apply for full job details

Job DescriptionJob DescriptionCompany Description Founded in 2001, family owned and operated AireSpring is a leading Provider of Cloud Communications, Managed Connectivity and Managed Security which has earned its stellar reputation by taking service and support to the next level, delivering an award-winning customer experience that far exceeds the industry standards. AireSpring has delivered 20 years of outstanding service to its rapidly rising base of national and global customers, while growing organically and remaining debt free. As the trusted provider to over 22,000 enterprise locations worldwide, our mission is to help our clients connect and communicate easily. We aim to delight our customers and partners by providing personalized, outstanding service. The company has built a solid reputation of integrity, reliability and dependability with its channel partners, end-user customers and technology partners. We have received more than 100 coveted industry awards including "Product of the Year- SD-WAN and UCaaS", "Excellence in Customer Service", "Unified Communications Excellence", "Best in Show," "Best Telecom Deal" and "Top Channel Program". Job Description The Role: This is a delivery and coordination role, not a network engineering or software development position. The successful candidate will coordinate technical teams and client activities rather than design networks, write code, or directly configure IoT platforms. Key Responsibilities: Implementation Project Manager - IoT and Connectivity We are seeking a mid-level Project Manager to coordinate enterprise IoT, mobile connectivity, and device deployment projects. This role will manage timelines, client communication, project documentation, risks, and coordination across internal technical teams. This is a project delivery role, not a network engineering or software development position. You will work with engineering and carrier partners but will not be expected to design networks, write code, or configure cloud infrastructure. Responsibilities Manage project plans, milestones, deliverables, and action items Coordinate activities among clients, engineering, product, carriers, and support teams Lead project meetings and provide clear status updates Track risks, issues, dependencies, and changes Support device, SIM, and connectivity deployment activities Maintain project documentation and implementation records Escalate blockers and ensure timely resolution Assist with post-deployment reviews and customer follow-up Qualifications Required: 3+ years managing customer-facing implementation projects Strong organization and follow-through Experience coordinating technical teams Clear written and verbal communication Ability to manage timelines, risks, and client updates Preferred, but not required: Telecom, IoT, or mobility experience Familiarity with SIMs, cellular connectivity, or device provisioning Experience with Azure IoT or AWS IoT PMP or Scrum certification Additional Information WHAT THIS COMPANY OFFERS YOU: Medical Benefits with optional supplemental services through AFLAC Paid Time-Off Plan Paid Holidays 401K with employer match AT&T Discount on personal mobile plan This is a remote U.S.-based position. Candidates must be authorized to work in the United States and be available during Eastern Time business hours. All your information will be kept confidential according to EEO guidelines.

Job Description Job Description Company Description Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste and mitigate loss, advance sustainability, circularity and transparency and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide - including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive - we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2025 were $8.9 billion. Learn more at . At Avery Dennison, some of the great benefits we provide are: Health & wellness benefits starting on day 1 of employment Paid parental leave 401K eligibility Tuition reimbursement Employee Assistance Program eligibility / Health Advocate Paid vacation and paid holidays Job Description Shift - Day Shift, Wed: 9:30AM-6PM, Th-SA 8AM-7:30PM The Laser Print Operator, Back-end will perform the functions of data manipulation on the computer network, initiating jobs for production and laser printing on specific printer equipment, staging printed jobs in the production area to ensure a smooth transition flow through production in order to meet the delivery deadlines of each customer while maintaining quality standards. Key Areas of Responsibility Works closely with Facility Managers, Production Supervisors and Leads to assist with customer required directives, deliveries, changes, emergencies, problems with data and special files by printing accurately and efficiently. Responsible for minimizing waste and misuse of raw materials. Communicates well with fellow associates, project coordinators, and the Facility Manager, while performing laser print functions by following daily job schedules. This requires being familiar with all customers, their special needs as well as production schedules to make sure the correct information is communicated. Completes multiple tasks on multiple printers at the same time to help the work flow process. Juggling the tasks of running the current customer being laminated, printing re-runs and starting the next customer's work based on the schedule of the day. Uses ERP system to log time and materials. Follows department guidelines for Total Cost Management activities. Keeps the work order system up to date and organized at all times. Maintaining records of jobs printed, tested and checked via log book and/or computer documents Ensures printing quality standards are being met by sampling, viewing and checking print jobs are processed. Helps maintain equipment by placing service calls to appropriate service technicians. Maintains all inventory levels and pre-printed items that are stored in the warehouse and in the front shelving units in the correct locations. Ensure data from each customer is arriving on time, and if not, alert a supervisor so they can make necessary notifications/decisions regarding late data. Maintains a clean, organized, and safe work area, uses required PPE, and follows all safety rules and procedures. May be required to work overtime or on another shift as needed. Other duties as assigned by management. Regular attendance is an essential function of this position. Compliance with applicable Company policies concerning maintaining a drug free workplace is required. Compliance with all Company policies is required including all safety policies and procedures. Qualifications Physical Demands Stands 2/3 to full time on the shift daily. Uses hands and fingers to handle, and feel 1/3 to 2/3 of the shift daily. Reaches with hands and arms 1/3 to 2/3 of the shift daily. Lifts 50 pounds 1/3 to 2/3 of the shift daily. Requires close vision (clear vision at 20-inches or less). Color vision (ability to identify and distinguish colors). Additional Requirements High school diploma or general education degree (GED). Ability to embody and reflect Vestcom's core values. Management Disclaimer Vestcom's Management reserves the right to revise, change or modify the duties and responsibilities of this position at any time to meet business and organizational needs. This position description may not list all duties for this position. The incumbent in the position may be asked to perform other duties. This position description is not a contract for employment and either the incumbent or Vestcom may terminate employment at any time, for any reason. Additional Information All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines. As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws. Reasonable Accommodations Notice If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact or to discuss reasonable accommodations.

AI Engineer 5 (LLM Gateway, FM Hosting) 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. Team Description: 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. What You'll Do: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: 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 Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production 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 You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: 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 At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

Job Description Job Description Overview Principal Data Links and Communications Engineer LOCATION : Hanscom AFB, MA Salary Range : $145-$155,000 annually depending on experience, certifications, and qualifications JOB STATUS: Full-time CLEARANCE : Top Secret/SCI TRAVEL: Limited, as needed Astrion has an exciting opportunity for a Principal Data Links and Communications Engineer for the EPASS Cyber and Networks Directorate (EPASS HN II) contract , supporting the Aerial Networks Division (AFLCMC/HNA) located at Hanscom AFB in Massachusetts . REQUIRED QUALIFICATIONS / SKILLS: Must be a US Citizen Must have and be able to maintain a Top Secret/SCI clearance Knowledge and experience with Link 22 and tatical data links engineering DESIRED QUALIFICATIONS / SKILLS: 5 Years experience in software design and software requirements development Proficiency in C++ an Java Programming languages and development frameworks Proficiency in MBSE modeling, languages, and tools (DODAF, SysML, UML, Cameo) Networking and embedded mission systems experience Familiarity with government acquisition planning, tailoring and documentation (Acquisition Strategy Plan, Statement of Work, System Engineering Plan, User Agreements, Product Roadmap). ADDITIONAL QUALIFICATIONS: Provide knowledge and experience in the development, integration, testing, and deployment of Air Force systems and their associated data links, to include definition of data link interoperability, interfaces, and verification and test assessment requirements. This includes interfacing with the Federal, Department of Defense (DoD), United States Air Force (USAF), United States Army, and Joint communities to ensure the data link communications capability complies with the applicable Federal Aviation Administration, Defense Information Systems Agency (DISA), National Security Agency (NSA), Service Acquisition Executive, Joint Mission Planning System (JMPS), Damage Assessment and Casualty Report business and technical rules. Provide resources with knowledge and experience in Developmental and Operational test and Evaluation at the sub-system and system level. This includes interface with Air Combat Command, Air Force Command and Control Integration Center, Joint Interoperability Test Command, Space and Naval Warfare Systems Command, and all levels of the organizations that develop and manage the C3 and encryption key distribution infrastructure for controlling a networked system, providing technical advice on C4 issues, including pre-launch conditioning and planning, aircraft-weapon pre- and post-release communications, and real-time targeting. The Contractor shall advise and assist the program Chief Engineer, Integrated Product Team (IPT) Leads, Program Managers (PMs), and joint combined test team customers on performance, schedule, and cost issues with respect to planning, communications, and control. The contractor will perform other duties as assigned. The candidate may be called upon for knowledge and experience in the following specific areas: Combat Net Radio (CNR) Test and Demonstration include engineering support for interoperability testing weapon configurations with Threshold and Objective launch platforms/controllers and ground Joint Terminal Attack Controllers over Ultra-High Frequency (UHF) CNR and Link 22 communications. Joint Concept of Employment (CONEMP) Cryptologic Systems Link 16 Networking Interface Control Digitally Aided Close Air Support (DACAS) United States Message Text Format (USMTF) Joint Interoperability of Tactical Command and Control Systems (JINTACCS) RESPONSIBILITIES: Support defining and documenting specifications for network-enabled weapon systems to ensure Link 16 J11.X message interoperability Interface with DoD and non-DoD federal agencies to ensure the data link communications capability complies with the applicable regulations Interface with Air Force, other services and agencies in support of developing communications equipment and managing encryption infrastructure for controlling a networked system Provide technical advice on Command, Control and Communications (C3) issues, including pre-launch conditioning and planning, networked weapons, and real-time targeting Advise and assist the staff Engineers, IPT members, PMs, and test team customers on performance, schedule, and cost issues with respect to planning, communications, and control Support defining and documenting a set of Combat Net Radio (CNR) networking parameter configurations to provide the best balance between flexible implementation of capability and implementation impact on both existing and emerging weapon systems Provide engineering support for interoperability testing weapon configurations over UHF CNR and Link 16 Support developing, documenting, and presenting a Joint Concept of Employment (CONEMP) which is flexible, scalable, and compatible with communications via Military tactical data exchange network Support developing and documenting Joint Service approaches for integrating weapons into existing TDL environments Support development and documentation of Link 16 J11.X messages within the construct of a Joint Service CM strategy that will maintain interoperability between weapon systems and controllers while supporting a flexible CONEMP

Senior Lead AI Engineer Overview: 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. Team Description: 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. In this role, you will: 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. 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. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: 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 At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details

AI Engineer 5 (Gen AI Platform Services) Overview: 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. Team Description: 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. What You'll Do: 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. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: 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 Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production 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 You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: 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 At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities . click apply for full job details

Job DescriptionJob DescriptionCompany Description Founded in 2001, family owned and operated AireSpring is a leading Provider of Cloud Communications, Managed Connectivity and Managed Security which has earned its stellar reputation by taking service and support to the next level, delivering an award-winning customer experience that far exceeds the industry standards. AireSpring has delivered 20 years of outstanding service to its rapidly rising base of national and global customers, while growing organically and remaining debt free. As the trusted provider to over 22,000 enterprise locations worldwide, our mission is to help our clients connect and communicate easily. We aim to delight our customers and partners by providing personalized, outstanding service. The company has built a solid reputation of integrity, reliability and dependability with its channel partners, end-user customers and technology partners. We have received more than 100 coveted industry awards including "Product of the Year- SD-WAN and UCaaS", "Excellence in Customer Service", "Unified Communications Excellence", "Best in Show," "Best Telecom Deal" and "Top Channel Program". Job Description The Role: This is a delivery and coordination role, not a network engineering or software development position. The successful candidate will coordinate technical teams and client activities rather than design networks, write code, or directly configure IoT platforms. Key Responsibilities: Implementation Project Manager - IoT and Connectivity We are seeking a mid-level Project Manager to coordinate enterprise IoT, mobile connectivity, and device deployment projects. This role will manage timelines, client communication, project documentation, risks, and coordination across internal technical teams. This is a project delivery role, not a network engineering or software development position. You will work with engineering and carrier partners but will not be expected to design networks, write code, or configure cloud infrastructure. Responsibilities Manage project plans, milestones, deliverables, and action items Coordinate activities among clients, engineering, product, carriers, and support teams Lead project meetings and provide clear status updates Track risks, issues, dependencies, and changes Support device, SIM, and connectivity deployment activities Maintain project documentation and implementation records Escalate blockers and ensure timely resolution Assist with post-deployment reviews and customer follow-up Qualifications Required: 3+ years managing customer-facing implementation projects Strong organization and follow-through Experience coordinating technical teams Clear written and verbal communication Ability to manage timelines, risks, and client updates Preferred, but not required: Telecom, IoT, or mobility experience Familiarity with SIMs, cellular connectivity, or device provisioning Experience with Azure IoT or AWS IoT PMP or Scrum certification Additional Information WHAT THIS COMPANY OFFERS YOU: Medical Benefits with optional supplemental services through AFLAC Paid Time-Off Plan Paid Holidays 401K with employer match AT&T Discount on personal mobile plan This is a remote U.S.-based position. Candidates must be authorized to work in the United States and be available during Eastern Time business hours. All your information will be kept confidential according to EEO guidelines.

Job DescriptionJob DescriptionCompany Description Founded in 2001, family owned and operated AireSpring is a leading Provider of Cloud Communications, Managed Connectivity and Managed Security which has earned its stellar reputation by taking service and support to the next level, delivering an award-winning customer experience that far exceeds the industry standards. AireSpring has delivered 20 years of outstanding service to its rapidly rising base of national and global customers, while growing organically and remaining debt free. As the trusted provider to over 22,000 enterprise locations worldwide, our mission is to help our clients connect and communicate easily. We aim to delight our customers and partners by providing personalized, outstanding service. The company has built a solid reputation of integrity, reliability and dependability with its channel partners, end-user customers and technology partners. We have received more than 100 coveted industry awards including "Product of the Year- SD-WAN and UCaaS", "Excellence in Customer Service", "Unified Communications Excellence", "Best in Show," "Best Telecom Deal" and "Top Channel Program". Job Description The Role: This is a delivery and coordination role, not a network engineering or software development position. The successful candidate will coordinate technical teams and client activities rather than design networks, write code, or directly configure IoT platforms. Key Responsibilities: Implementation Project Manager - IoT and Connectivity We are seeking a mid-level Project Manager to coordinate enterprise IoT, mobile connectivity, and device deployment projects. This role will manage timelines, client communication, project documentation, risks, and coordination across internal technical teams. This is a project delivery role, not a network engineering or software development position. You will work with engineering and carrier partners but will not be expected to design networks, write code, or configure cloud infrastructure. Responsibilities Manage project plans, milestones, deliverables, and action items Coordinate activities among clients, engineering, product, carriers, and support teams Lead project meetings and provide clear status updates Track risks, issues, dependencies, and changes Support device, SIM, and connectivity deployment activities Maintain project documentation and implementation records Escalate blockers and ensure timely resolution Assist with post-deployment reviews and customer follow-up Qualifications Required: 3+ years managing customer-facing implementation projects Strong organization and follow-through Experience coordinating technical teams Clear written and verbal communication Ability to manage timelines, risks, and client updates Preferred, but not required: Telecom, IoT, or mobility experience Familiarity with SIMs, cellular connectivity, or device provisioning Experience with Azure IoT or AWS IoT PMP or Scrum certification Additional Information WHAT THIS COMPANY OFFERS YOU: Medical Benefits with optional supplemental services through AFLAC Paid Time-Off Plan Paid Holidays 401K with employer match AT&T Discount on personal mobile plan This is a remote U.S.-based position. Candidates must be authorized to work in the United States and be available during Eastern Time business hours. All your information will be kept confidential according to EEO guidelines.