Design, develop, and deliver production-ready AI solutions for clients while maintaining hands‑on engineering involvement.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $102,400.00 - $204,100.00 per year.
Responsibilities
Architect end‑to‑end AI solutions including generative AI, agentic systems, and RAG
Lead solution architecture for AI build and proof‑of‑concept engagements
Remain hands‑on across solution development, coding, data integration, and debugging
Design and implement cloud‑native AI solutions on Azure, AWS, and GCP
Define architecture and integration patterns for LLMs, vector databases, APIs, microservices
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
Nice to have: Master's degree in a technical field
Nice to have: cloud or architecture certifications
Nice to have: experience with OpenAI, Anthropic, Google LLMs
Nice to have: experience designing evaluation frameworks for LLMs
Assist with the design, production, and maintenance of data pipelines and software infrastructure to support epidemiological research and public health policy.
Solution Engineering IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Solution Engineering IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $272,300 per year.
Responsibilities
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Lead hands‑on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
Develop and maintain software solutions for manufacturing processes, collaborating with cross‑functional teams to design, implement, and improve software that integrates with third‑party services and automation.
Compensation
The typical base salary for this position is expected to be around $82,000 to $110,000.
Responsibilities
Develop and maintain software solutions for manufacturing software, ensuring scalability, security, and reliability.
Collaborate with cross‑functional teams to define software requirements, design, and implement solutions.
Build software that integrates with third‑party services and systems to automate manufacturing processes.
Ensure code quality, performance, and maintainability of software.
Continuously identify opportunities to improve the software and the development process.
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related field
Nice to have: familiarity with manufacturing processes and technologies
Lead launch operations and propulsion testing for Relativity Space’s Terran R rocket, overseeing real‑time decision making, system integration, and data analysis during live launches.
Compensation
$185,000—$277,000 USD
Responsibilities
Own critical systems in launch control room during live rocket launches
Conduct complex propulsion tests and launch operations
Create and optimize automated test sequences, procedures, and data review processes
Command and monitor launch pad and flight hardware through GUIs and integrated control
Perform hardware setup, system configuration, and cross‑disciplinary troubleshooting
Requirements
Bachelor’s degree or higher in Aerospace, Mechanical, Electrical, Computer, Software Engineering, or Computer Science
Nice to have: rocket subsystems knowledge
Nice to have: propulsion test support
Nice to have: intermediate programming proficiency
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
Nice to have: Infrastructure Modernization
Nice to have: Application Modernization
Nice to have: Data Management
AI Software Engineer, Multimodal Agentic AI for Glasses
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
Build trusted relationships with platform leads, co‑designing secure, scalable architectures and solutions.
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
Maintain deep knowledge in Analytics Portfolio: Microsoft Fabric, Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
Requirements
Master's Degree in Computer Science, Information Technology, or related field
Bachelor's Degree in Computer Science, Information Technology, or related field
Nice to have: 6+ years technical pre‑sales
Nice to have: 4+ years customer‑facing role
Nice to have: 4+ years cloud and hybrid or on premises infrastructure
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)
Forward Deployed AI ArchitectNewCrowe Advisory LLC · Chicago, US
Data Engineer I (Epidemiology)NewJohns Hopkins University · Baltimore, US
Principal Launch Operations EngineerNewRelativity Space · Cape Canaveral, US
Customer Engineer, Platform, Google CloudNewGoogle · Seattle, US
Online Visiting Professor of Data AnalyticsNewDeVry University · US+3 more
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