As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues.
Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.
Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.
Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.
Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.
Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.
Requirements
Bachelor's degree or equivalent practical experience
Play a technical leadership role at the forefront of developing groundbreaking multimodal agentic AI solutions for smart glasses.
Take ambitious, ambiguous AI capabilities from initial research and rapid prototyping to flagship production launches.
Own the end-to-end technical direction and quality of core pillars, driving model and agent quality improvement through data optimization, evaluation benchmarks, system prompting, skill and tool use, Agent harness, and model post-training to deliver an instant, natural, and immersive experience for users.
Requirements
Bachelor’s degree or equivalent practical experience
Master's degree or PhD in Computer Science or related technical field
Faculty responsible for developing and delivering data analytics courses to undergraduate and graduate students, integrating technology and responsible AI practices.
Locations (4)
Arizona, United States
California, United States
Indiana, United States
Pennsylvania, United States
Compensation
Pay may vary in most states from $1500-$2700 per 8-week session. Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.
Responsibilities
Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus
Sr Software Engineer, AWS Applied AI Solution – Core Services
Lead our pioneering AI initiative at AWS and define the future of AI agents. Shape how businesses leverage artificial intelligence by creating foundational building blocks used across AWS business applications.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Responsibilities
Own the technical architecture and strategy for a critical AI agent capability area, setting the foundation for enterprise-scale AI solutions across AWS
Lead projects requiring multiple engineers, balancing business goals with technical excellence while navigating ambiguous problem spaces
Research, evaluate, and integrate state-of-the-art AI technologies, making informed decisions about build vs. leverage approaches
Design and implement reusable AI components that meet enterprise-grade quality standards while simplifying complex technical challenges
Drive consensus across teams with different priorities and perspectives to create unified AI building blocks
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: 10+ years of full software development life cycle
Senior Data Analytics Engineer responsible for designing, building, and maintaining data pipelines, integration workflows, and analytics solutions to support government and enterprise decision-making.
Compensation
The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).
Responsibilities
Design and maintain data pipelines, ETL/ELT workflows, and data integration solutions
Integrate data from enterprise sources such as SharePoint, databases, or APIs
Develop dashboards, KPIs, and reporting solutions using Power BI or Tableau
Use SQL and programming or scripting languages for data transformation, analytics, automation, and reporting
Develop analytical solutions to identify trends, measure performance, and support operational decision-making
Junior Project Manager or Project Coordinator responsible for managing cross-organizational software development projects from initiation through delivery.
Compensation
Pay: $40/hr-$50/hr on w2
Responsibilities
Develop and report on metrics for engineering development
Manage cross-organizational software development projects
Lead and influence program timelines
Ensure delivery quality and code standards
Requirements
Bachelor’s degree in computer science or a related field
Lead security reviews, threat modeling, and risk assessments for customer service systems, design and build security controls, partner with stakeholders to define security strategies, and create frameworks and runbooks to enable repeatable security practices.
Compensation
USA, WA, Seattle - 178,400.00 - 226,700.00 USD annually
Responsibilities
Lead security reviews, threat modeling, and risk assessments for customer service systems
Design and build security controls and engineering solutions
Partner with business stakeholders, product owners, and engineering teams to understand emerging risks
Create security frameworks, runbooks, and rubrics for new problem domains
Communicate security risk and design decisions clearly in writing
Requirements
Nice to have: experience applying threat modeling or other risk identification techniques
Nice to have: experience with security in service-oriented architectures/microservices and web services
Nice to have: experience conducting insider threat investigations
Nice to have: experience securing telephony systems against risk
Lead design, architecture, and delivery of Amazon Ads’ auto‑optimization platform, building agent execution engines, action layers, evaluation pipelines, and safety standards.
Locations (2)
New York, New York, United States
Seattle, Washington, United States
Compensation
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
Responsibilities
Own the auto‑optimization platform’s architecture and roadmap
Build agent execution engine and action layer for live campaigns
Set safety standards and audit trails
Develop offline and online evaluation pipelines
Prototype new system designs and agent patterns
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
Nice to have: coding standards
Nice to have: code reviews
Software Development Engineer III, WW Sustainability
Join us at the forefront of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy.
Compensation
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Responsibilities
Design and develop AI native systems and features that report Amazon's environmental footprint as well as other Social and Governance metrics, to internal stakeholders and external regulatory bodies.
Operationally maintain the systems you build with a strong sense of Ownership, Bias for Action, and Customer Obsession.
Contribute to improving the teams broader SDLC processes.
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
Design and implement mobile applications and services that integrate with telecom components for Amazon Leo’s Low Earth Orbit satellite network.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Responsibilities
Design and implement mobile applications and services that integrate with telecom components
Partner with the Satellite, Networks and Security engineering teams
Collaborate with product managers, UX designers, marketing, and backend commerce service teams to translate customer and business needs into accessible, scalable solutions that work across devices and browsers
Leverage agentic development workflows and generative AI tools to accelerate feature delivery, and identify opportunities to improve infrastructure using AWS native services
Participate actively in code reviews, providing constructive feedback to teammates while coaching others on front-end best practices, UI design patterns, and maintainable coding standards
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
Organizes, prepares, and regularly revises and updates all course materials
Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students
Models effective oral and written communications that engage the students, provide clarity, and improve student learning
Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories
Requirements
Doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field
18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline
Nice to have: industry certifications in data analytics, data science, or business intelligence platforms
Nice to have: experience with data management and analytics ecosystems
Nice to have: experience with data governance and data lifecycle management
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Customer Engineer, Platform, Google CloudNewGoogle · Seattle, US
Online Visiting Professor of Data AnalyticsDeVry University · US+3 more
Sr Software Engineer, AWS Applied AI Solution – Core ServicesAmazon · Seattle, US
Data Analytics EngineerBooz Allen Hamilton · Charlottesville, US