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8205 institutional police sergeant

Visa

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
Company Description:
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
You&rsquo;re an Individual. We&rsquo;re the team for you. Together, let&rsquo;s transform the way the world pays.
Job Description:
Visa is seeking a Director to lead the development and commercialization of Affluent-focused Marketing Services offerings, a key corporate priority aimed at increasing Visa&rsquo;s revenue, share of spend and engagement with high-value consumer segments, with a primary focus on advancing Visa Infinite experiential value propositions through Marketing Services.
This role will act as a central partner across Global Sponsorships, Product, and Marketing Services to translate Affluent Product strategy and Sponsorship &amp; Experiential assets into clear, scalable client-ready solutions, sales plays and go-to-market materials. This includes identifying and developing new partnership opportunities that can be translated into differentiated Marketing Services offerings.
This individual will also play a critical role in defining and operationalizing the Affluent Marketing Services model end-to-end, establishing clear ways of working, ownership, and cross-functional alignment across teams.
The ideal candidate will bring strong critical thinking, combined with deep expertise in the affluent segment, commercialization, along with the ability to translate diverse sponsorship &amp; partnership assets into compelling, differentiated value propositions for high-value audiences.
About Marketing Services (MS)
Marketing Services is Visa&rsquo;s global B2B marketing solutions practice, focused on driving incremental revenue and client engagement by commercializing Visa&rsquo;s marketing expertise, developing scalable, client-facing offerings, and activating Visa&rsquo;s sponsorships to deliver best-in-class solutions for our clients.
Essential Functions:
Drive Affluent (Visa Infinite) go-to-market strategy and execution<ul><li>
Act as a connector and partner with the Affluent Product team and Global Sponsorship team to translate product strategy, sponsorship &amp; experiential assets into Marketing Services sales plays</li><li>
Develop and maintain clear, actionable GTM materials (pitch decks, narratives, case studies, pricing frameworks)</li><li>
In partnership with Global Sponsorships, identify and package sponsorship assets across key properties (e.g., VCARB, ORBR, FWWC27, LA28, Music etc.) into scalable, Visa Infinite&ndash;relevant offerings and sales plays</li></ul>
Drive commercialization and partnership-led growth<ul><li>
Partner with Product teams to identify strategic partnership opportunities and new business that enhance Marketing Services offerings</li><li>
Translate partnership opportunities into clear, sellable solutions by developing value propositions and GTM materials for Marketing Services teams</li><li>
Incorporate market feedback and performance insights to continuously refine offerings and improve commercial outcomes</li></ul>
Define and operationalize Affluent ways of working<ul><li>
Establish the operating model for how Affluent Marketing Services integrates across sponsorships, product, and regional teams</li><li>
Define clear roles, responsibilities, and engagement models to reduce duplication and improve speed to market</li><li>
Drive execution against this model, ensuring consistent adoption across teams and workstreams</li></ul>
Develop storytelling and executive-ready materials<ul><li>
Build compelling narratives that clearly articulate the value of affluent-focused marketing solutions</li><li>
Support senior leadership updates and key stakeholder engagements</li></ul>
Support performance tracking and optimization<ul><li>
Define and track key performance indicators for Affluent Marketing Services offerings</li><li>
Leverage data to assess performance, identify opportunities, and inform ongoing optimization of offerings and GTM strategies</li><li>
Compile case studies that help support commercialization of Affluent offerings</li></ul>
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
Qualifications
Qualifications:
Basic Qualifications:<ul><li>
10+ years of experience in marketing, commercialization, consulting, or related fields</li><li>
Bachelor&rsquo;s degree required</li></ul>
Preferred Qualifications:<ul><li>
12 or more years of experience with a Bachelor&rsquo;s Degree or 10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 6+ years of experience</li><li>
Experience in Marketing Services, Sponsorship &amp; Partnership marketing, Experiential Marketing or client-facing commercialization roles</li><li>
Strong understanding of affluent/high-value consumer segments and drivers of engagement</li><li>
Excellent storytelling and presentation skills, with experience developing executive-level materials</li><li>
Proven ability to develop and bring to market new offerings or sales strategies</li><li>
Demonstrated ability to operate in ambiguous environments and build structure from scratch (e.g., defining operating models, ways of working, or new processes)</li><li>
Strong critical thinking and problem-solving skills</li><li>
Advanced proficiency in Microsoft PowerPoint and Excel</li><li>
Strong working knowledge of basic data analysis and performance measurement to track and optimize business outcomes</li><li>
Highly organized and able to manage multiple complex projects independently in a fast-paced, matrixed environment</li></ul>
Additional Information
Work Hours (Optional)<ul><li>
Varies upon the needs of the department.</li></ul>
Travel Requirements<ul><li>
This position requires travel 5-10% of the time.</li></ul>
Physical Requirements
<ul><li>This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms.</li></ul>
EEO Statement<ul><li>
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</li></ul>
U.S. Applicants Only
The estimated salary range for this position is $178,300.00 to $ 285,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.</div>

Director, Marketing

Information Technology Senior Management Forum

<div><div>Posted Date
6/29/2026
</div><div>Description
<div>Senior Lead AI Engineer(MLX, Agentic AI, 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 &mdash; along with our deep experience in machine learning &mdash; 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 &amp; 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:<ul><li>
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.</li><li>
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.</li><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
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.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>
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.</li><li>
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.</li><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
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</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
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</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul>
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.
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer 

Cambridge, MA: $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&rsquo;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 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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).
Senior Lead AI Engineer(MLX, Agentic AI, 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 &mdash; along with our deep experience in machine learning &mdash; 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 &amp; 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:<ul><li>
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.</li><li>
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.</li><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
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.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>
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.</li><li>
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.</li><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
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</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
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</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul>
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.
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer 

Cambridge, MA: $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&rsquo;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 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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).</div>
</div><div>Salary
229,900.00 - 262,400.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.
As a Lead Infrastructure Engineer at JPMorgan Chase within the Infrastructure Platform &ndash; SDWAN team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise. In this SD‑WAN-focused role, you will help design and build a next-generation SD‑WAN ecosystem with integrated management, monitoring, and analytics, partnering closely with engineering, product, and architecture teams to deliver outcomes.
Job Responsibilities<ul><li>
Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.</li><li>
Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.</li><li>
Lead and contribute to the architecture, evaluation, and standardization of SD‑WAN and emerging network communication technologies, products, and solutions.</li><li>
Collaborate with engineering teams and business units to define current state and future direction of the SD‑WAN technology landscape.</li><li>
Lead and collaborate in the development of technical design solutions and architecture artifacts (e.g., functional architecture, HLD/LLD).</li><li>
Capture, analyze, decompose, and document requirements for systems, products, and subsystems of moderate to high complexity.</li><li>
Partner with business, product, and architecture teams to define next-generation SD‑WAN network requirements and capabilities aligned to business outcomes.</li><li>
Drive product design deliverables and stakeholder alignment, anticipating problems and defining mitigation strategies to reduce risk and ensure successful delivery.</li><li>
Lead test strategy and execution (test plans, test cases, use cases) and support implementation across stakeholders.</li><li>
Apply security/cybersecurity methodologies to network and systems design to deliver secure services aligned to business requirements.</li><li>
Provide regular updates on progress, risks, issues, dependencies, and mitigation plans; manage delivery within schedule and resource constraints.</li></ul>
Required qualifications, capabilities, and skills
<ul><li>Formal training or certification on infrastructure engineering concepts and 5+ years applied experience</li><li>
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.</li><li>
Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.</li><li>
Hands-on SD‑WAN network engineering experience across design, implementation, and support.</li><li>
Strong background supporting complex network environments in a global organization.</li><li>
Hands-on experience producing design artifacts (functional architecture, HLD/LLD) and driving implementation with stakeholders.</li><li>
Proven ability to lead requirements analysis, translate intent into technical outcomes, and define delivery/operational guardrails.</li><li>
Demonstrated application of security/cybersecurity methodologies in network and systems design.</li><li>
Advanced knowledge in SD‑WAN, core networking/routing, network virtualization, and network automation concepts.</li><li>
Experience applying network management concepts to support highly available, reliable services.</li><li>
Excellent communication skills and ability to clearly articulate technical design and architecture to stakeholders.</li></ul>
Preferred qualifications, capabilities, and skills
<ul><li>Industry-recognized SD‑WAN certification (preferred).</li><li>
Experience with one or more major SD‑WAN platforms.</li><li>
Strong troubleshooting skills across Layer 2/Layer 3 and overlay/underlay interactions in SD‑WAN.</li><li>
Working knowledge of network automation practices and tools (e.g., API-driven operations, scripting).</li><li>
Familiarity with network security fundamentals relevant to operating production networks.</li><li>
Experience working in regulated, change-controlled production environments (e.g., CAB/ITIL-aligned processes).</li><li>
Experience contributing to monitoring, telemetry, and operational analytics for large-scale networks.</li></ul>
FEDERAL DEPOSIT INSURANCE ACT:
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries.
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Lead Infrastructure Engineer (SDWAN)

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Director, Marketing

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

Lead Infrastructure Engineer (SDWAN)