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ai software engineering intern

Provation

<div>
 
 Job Summary
 
 
 
 The AI / Software Engineering Intern supports the design, development, and enhancement of scalable healthcare SaaS applications under the guidance of experienced engineers. This role provides hands-on exposure to modern full stack development, cloud-based SaaS architectures, and AI enabled features, while building foundational skills in secure, compliant healthcare software development. The intern will collaborate with cross functional engineering, product, QA, and clinical stakeholders in an agile environment, gaining practical experience with real world healthcare workflows, AI tools, and industry standards. This role is designed as a learning focused opportunity with mentorship, structured guidance, and meaningful project contributions.
 
 
 
 Key Responsibilities
 
 
 
 
 Software Development &amp; Engineering Fundamentals
 
 
 
 <ul>
 <li>
 Assist with coding, testing, and debugging software features using modern web and backend technologies (e.g., C#, JavaScript/TypeScript, SQL) under the guidance of senior engineers.
 </li>
 <li>
 Learn and apply foundational software engineering concepts, including object-oriented programming, code readability, and basic design patterns.
 </li>
 <li>
 Contribute to small, well‑scoped features or enhancements within existing codebases and frameworks.
 
 
 </li>
 </ul>
 
 Cloud &amp; SaaS Exposure
 
 
 
 <ul>
 <li>
 Gain exposure to cloud platforms (e.g., Azure or AWS) and healthcare SaaS architecture concepts.
 </li>
 <li>
 Participate in development workflows that include version control, code reviews, and CI/CD pipelines under supervision.
 
 
 </li>
 </ul>
 
 AI / ML Awareness &amp; Enablement
 
 
 
 <ul>
 <li>
 Develop familiarity with AI/ML concepts and how AI driven capabilities are integrated into healthcare software products.
 </li>
 <li>
 Support AI enhanced features such as analytics, automation, or decision‑support tools, including basic prompt engineering and evaluation under guidance.
 
 
 </li>
 </ul>
 
 Healthcare Compliance &amp; Interoperability
 
 
 
 <ul>
 <li>
 Build awareness of healthcare regulations and standards, including HIPAA privacy principles and secure coding practices.
 </li>
 <li>
 Learn foundational healthcare interoperability concepts such as HL7 and FHIR and how SaaS platforms integrate with EHR systems.
 
 
 </li>
 </ul>
 
 Agile Collaboration &amp; Professional Development
 
 
 
 <ul>
 <li>
 Participate in agile ceremonies as part of an engineering team.
 </li>
 <li>
 Communicate effectively with engineers, QA, and product partners, and incorporate feedback through code reviews and mentoring.
 </li>
 <li>
 Demonstrate curiosity, accountability, and a continuous learning mindset throughout the internship.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Currently pursuing a bachelor&rsquo;s or master&rsquo;s degree in computer science, Software Engineering, or a related technical field (Junior and Senior year student&rsquo;s preferred).
 </li>
 <li>
 Functional knowledge of at least one programming language (e.g., C#, Python).
 </li>
 <li>
 Strong understanding of software development concepts such as data structures, APIs, and version control.
 </li>
 <li>
 Coursework or project experience related to AI, machine learning, or data analytics.
 </li>
 <li>
 Strong interest in healthcare technology, SaaS platforms, and applied AI.
 </li>
 <li>
 Ability to learn quickly, follow established processes, and work collaboratively in a team environment.
 </li>
 <li>
 Occasional travel may be required.
 
 
 </li>
 </ul>
 
 Other Preferred Knowledge, Skills
 
 
 
 <ul>
 <li>
 Exposure to web or full stack development frameworks like Angular.
 </li>
 <li>
 Familiarity with cloud platforms, containers, or CI/CD concepts.
 </li>
 <li>
 Awareness of healthcare data privacy concepts (HIPAA) or interoperability standards (HL7, FHIR).
 
 
 </li>
 </ul>
 
 Location:
 
 This internship will be based in one of Provation&rsquo;s preferred cities (Minneapolis, MN; Boston, MA; Nashville, TN; Tampa/St. Petersburg, FL; Phoenix, AZ; and Seattle, WA) for Summer 2026. Candidates must be located in one of these cities.
 
 
 
 Fortive Corporation Overview
 
 
 
 Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.
 
 
 We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.
 
 
 We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.
 
 
 At Fortive, we believe in you. We believe in your potential&mdash;your ability to learn, grow, and make a difference.
 
 
 At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.
 
 
 At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.
 
 
 Fortive: For you, for us, for growth.
 
 
 
 About Provation
 
 
 
 Provation is a leading provider of healthcare software and SaaS solutions for clinical productivity, care coordination, quality reporting, and billing. Our purpose is to empower providers to deliver quality healthcare for all. Provation&rsquo;s comprehensive portfolio spans the entire patient encounter, from pre-procedure through post-procedure, with solutions for physician and nursing documentation (Provation&reg; MD, Provation&reg; Apex, MD-Reports, Provation&reg; endoPRO&reg;, and Provation&reg; MultiCaregiver), anesthesia documentation (#1 Best in KLAS Provation&reg; iPro), patient engagement, surgical care coordination, quality reporting, and billing capture (Provation&reg; SurgicalValet&trade;), order set and care plan management (Provation&reg; Order Set Advisor&trade; and Provation&reg; Care Plans), and EHR embedded clinical documentation (Provation&reg; Clinic Note). Provation has a loyal customer base, serving more than 5,000 hospitals, surgery centers, and medical offices, and 700 physician groups globally, including 19 of the top 20 U.S. hospitals. In 2021, Provation was acquired by Fortive Corporation, a Fortune 1000 company that builds essential technology and accelerates transformation in high-impact fields like workplace safety, engineering, and healthcare. For more information about our solutions, visit provationmedical.com and follow us on Twitter, Facebook, and LinkedIn. Our purpose at Provation is to empower providers to deliver quality healthcare for all. To deliver on this commitment, we&rsquo;re guided by our core values &ndash; Provation has a culture of CARES:Community - We have a shared sense of improving healthcare, enriching the broader world we live in and serve. Accountability - We own it and get it done with integrity. Respect - We build diverse teams that collaborate and communicate with positive intent and trust. Excellence - We welcome new ideas as we innovate quality solutions. Service - We are passionate about putting customers first.
 
 
 We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.
 
 
 
 Pay Range
 
 
 
 The hourly range for this position (in local currency) is $20-$40/hour/
 
 
 Provation is a leading provider of healthcare software and SaaS solutions for clinical productivity, care coordination, quality reporting, and billing. Our purpose is to empower providers to deliver quality healthcare for all. Provation&rsquo;s comprehensive portfolio spans the entire patient encounter, from pre-procedure through post-procedure, with solutions for physician and nursing documentation (Provation&reg; MD, Provation&reg; Apex, MD-Reports, Provation&reg; endoPRO&reg;, and Provation&reg; MultiCaregiver), anesthesia documentation (#1 Best in KLAS Provation&reg; iPro), patient engagement, surgical care coordination, quality reporting, and billing capture (Provation&reg; SurgicalValet&trade;), order set and care plan management (Provation&reg; Order Set Advisor&trade; and Provation&reg; Care Plans), and EHR embedded clinical documentation (Provation&reg; Clinic Note). Provation has a loyal customer base, serving more than 5,000 hospitals, surgery centers, and medical offices, and 700 physician groups globally, including 19 of the top 20 U.S. hospitals. In 2021, Provation was acquired by Fortive Corporation, a Fortune 1000 company that builds essential technology and accelerates transformation in high-impact fields like workplace safety, engineering, and healthcare. For more information about our solutions, visit provationmedical.com and follow us on Twitter, Facebook, and LinkedIn. Our purpose at Provation is to empower providers to deliver quality healthcare for all. To deliver on this commitment, we&rsquo;re guided by our core values &ndash; Provation has a culture of CARES:Community - We have a shared sense of improving healthcare, enriching the broader world we live in and serve. Accountability - We own it and get it done with integrity. Respect - We build diverse teams that collaborate and communicate with positive intent and trust. Excellence - We welcome new ideas as we innovate quality solutions. Service - We are passionate about putting customers first.
 
 
 We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.
 
 
 The hourly range for this position (in local currency) is $20-$40/hour/
</div>

AI / Software Engineering Intern

Amazon

<div>
 
 Description
 
 
 
 By applying to this position, your application will only be considered for our summer Software Development Engineer (SDE) internship roles. Our summer intern roles have start dates in May/June 2026 and are 12 weeks in duration.
 
 
 Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide?
 
 
 At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.
 
 
 Our SDE interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.
 
 
 At Amazon, we believe in ownership at every level. As a SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.
 
 
 We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.
 
 
 Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
 
 
 We will take your location preferences into consideration. Preferences are based on business availability and are not guaranteed. Applicants will be considered at all locations we host interns in the United States including but not limited to:
 
 
 <ul>
 <li>
 AZ (Phoenix, Tempe)
 </li>
 <li>
 CA (Berkeley, Culver City, Cupertino, East Palo Alto, Irvine, Los Angeles, Manhattan Beach, Palo Alto, San Diego, San Francisco, San Jose, San Luis Obispo, Santa Barbara, Santa Clara, Santa Cruz, Santa Monica, Sunnyvale)
 </li>
 <li>
 CO (Boulder, Denver)
 </li>
 <li>
 GA (Atlanta, Kennesaw)
 </li>
 <li>
 IL (Chicago)
 </li>
 <li>
 MA (Boston, Cambridge, Hudson, North Reading, Westborough)
 </li>
 <li>
 MD (Baltimore)
 </li>
 <li>
 MI (Detroit)
 </li>
 <li>
 MN (Minneapolis)
 </li>
 <li>
 NJ (Jersey City)
 </li>
 <li>
 NY (New York)
 </li>
 <li>
 OR (Portland)
 </li>
 <li>
 PA (Philadelphia, Pittsburgh)
 </li>
 <li>
 TN (Nashville)
 </li>
 <li>
 TX (Austin, Dallas)
 </li>
 <li>
 VA (Arlington, Herndon)
 </li>
 <li>
 WI (Madison)
 </li>
 <li>
 WA (Bellevue, Seattle, Redmond)
 
 
 </li>
 </ul>
 ***Locations are subject to change***
 
 
 During your application, you will have the opportunity to highlight your expertise in one or more of these specialized areas:
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Distributed Systems and Data Management
 </li>
 <li>
 Database Systems
 </li>
 <li>
 Quantum Computing
 </li>
 <li>
 Network Development
 </li>
 <li>
 Query Processing and Optimization
 </li>
 <li>
 Automated Reasoning
 </li>
 <li>
 Embedded Systems
 </li>
 <li>
 Data Engineering
 </li>
 <li>
 Mobile Development
 </li>
 <li>
 Game Development
 
 
 </li>
 </ul>
 While team placement is based on business needs, sharing your specific skills and interests helps us better align your experience with potential roles.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
 </li>
 <li>
 Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
 </li>
 <li>
 Participate in code reviews and contribute to technical documentation.
 </li>
 <li>
 Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
 </li>
 <li>
 Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
 </li>
 <li>
 Write clean, maintainable code following best practices and design patterns.
 </li>
 <li>
 Work in an agile environment practicing CI/CD principles while participating in operational responsibilities.
 </li>
 <li>
 Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
 
 
 </li>
 </ul>
 A day in the life
 
 
 As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.
 
 
 In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Are 18 years of age or older
 </li>
 <li>
 Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
 </li>
 <li>
 Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles
 </li>
 <li>
 Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
 </li>
 <li>
 Able to work 40 hours/week and commit to a 12-week internship
 </li>
 <li>
 Expected conferral date between October 2026 &ndash; September 2029
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience from previous technical internship(s) or demonstrated project experience
 </li>
 <li>
 Experience with one or more of the following: AI tools for development productivity, Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems
 </li>
 <li>
 Demonstrated ability to learn and adapt to new technologies quickly
 </li>
 <li>
 Basic understanding of software development lifecycle (SDLC)
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Excellent written and verbal communication skills
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
 
 
 USA, WA, Seattle - 110,500.00 - 160,000.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3116030
</div>

Software Development Engineer Internship - Summer 2026 (US)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
 
 
The AWS Data Center Engineering - BIM &amp; AI Technologies team is pioneering the next generation of AI-powered design automation for AWS's global data center infrastructure. We're seeking an experienced Software Development Engineer with Building Information Modeling (BIM) domain expertise to architect and deliver innovative solutions that transform how data center design documentation is created, updated, and reviewed at scale.
 
 
As an SDE II on this team, you'll lead the design and implementation of novel generative AI applications that serve architects, engineers, construction managers, and facility operators. Working alongside software engineers, applied scientists, UX designers, product managers, and industry domain experts, you'll architect scalable production-ready systems that integrate BIM platforms, desktop applications, cloud services, and AI technologies to accelerate facility design workflows. This is an opportunity to leverage your Architecture, Engineering, Construction, and Ownership (AECO) industry expertise alongside your advanced software engineering skills to productionize ML models, mentor junior engineers, and solve complex design automation challenges for the building engineering and construction industry at an unprecedented scale.
 
 
Key job responsibilities 
<ul><li>Design and architect scalable solutions for complex problems in the BIM and design automation space, balancing technical excellence with business impact
</li></ul> 
<ul><li>Lead the development of new features and services that deliver data center design projects faster while maintaining high quality standards
</li></ul> 
<ul><li>Write clean, maintainable, and well-documented code following software engineering best practices and establish coding standards for the team
</li></ul> 
<ul><li>Collaborate with applied scientists to productionize ML models for BIM and AECO applications, ensuring robust deployment and monitoring
</li></ul> 
<ul><li>Work closely with product, design, science, and AECO subject matter experts to deliver novel BIM and AI solutions
</li></ul> 
<ul><li>Design and implement integrations between BIM platforms (e.g., Autodesk Platform Services, Revit, etc.) and AWS services with focus on reliability and scalability
</li></ul> 
<ul><li>Implement human-in-the-loop (HITL) workflows that combine engineering expertise with AI automation, ensuring AI systems augment rather than replace professional judgment
</li></ul> 
<ul><li>Drive technical discussions and build consensus on architectural decisions within your team and across partner teams
</li></ul> 
<ul><li>Mentor junior engineers through code reviews, design discussions, and knowledge sharing
</li></ul> 
<ul><li>Advocate for critical customers and stakeholders during team prioritization and planning, influencing roadmap decisions
</li></ul> 
About the team 
 
Why AWS 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Diverse Experiences 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li><li>3+ years of experience developing Building Information Modeling (BIM) software solutions for the AECO industry</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience with AI/ML technologies and their practical applications in AECO industry problems (e.g., building design engineering automation, compliance checking, or construction documentation workflows)</li><li>Experience with BIM software platforms and APIs such as Autodesk Revit, Autodesk Forma, Autodesk Platform Services, or similar AECO industry tools</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
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 &amp; AD&amp;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 - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer II, Data Center Design Engineering - BIM & AI Technologies

Deloitte

<div>At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. 
 
Work you'll do 
 
As a Lead Microsoft AI&amp;Data FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale. 
 
Client Engagement 
<ul><li>
Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders</li><li>
Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling</li><li>
Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision</li><li>
Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.</li></ul> 

Cross-Functional Pod Leadership &amp; Program Governance 
<ul><li>
Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health</li><li>
Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates</li><li>
Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.</li><li>
Mentor and develop junior FDEs</li></ul> 

GenAI Solution Development 
<ul><li>
Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
</li><li>Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls</li><li>
Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.</li><li>
Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.</li></ul> 

Engineering &amp; Data Foundations 
<ul><li>
Review and contribute to production-quality code</li><li>
Guide architecture of data pipelines powering GenAI use cases</li><li>
Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices</li><li>
Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)</li></ul> 

The team 
 
AI &amp; Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements. 
 
Required qualifications
 
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.</li><li>
7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li></ul><ul><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments</li><li>
1+ years of experience with Microsoft AI&amp;Data including hands on experience with Azure AI Foundry</li><li>
1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions</li><li>
1+ years of experience building reliable, maintainable, and well-documented code
</li></ul><ul><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve</li><li>
Limited immigration sponsorship may be available</li></ul> 

Preferred qualifications 
<ul><li>
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)</li><li>
Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li></ul><ul><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation</li><li>
Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations</li></ul> 
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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $167000 to $307500. 
 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

Lead Forward Deployed Engineer, Microsoft AI & Data

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The future of software development is autonomous. AWS is building Kiro Autonomous Agent &mdash;a frontier agent that independently tackles development tasks, maintains context across interactions, and continuously learns from its work. This isn't just another AI tool; it's a fundamental shift in how software gets built and maintained. 
 
We're looking for engineers who want to shape this transformation. You'll work alongside exceptional talent solving novel problems at the intersection of AI and software engineering. The challenges are unique: building systems that operate autonomously, retain context across complex workflows, and improve through experience&mdash;all while meeting AWS's exacting standards for scale, reliability, and security. 
 
Your impact will be immediate and visible. You'll ship features that directly improve how developers work. Daily collaboration includes code reviews, mentorship in both directions, and rapid skill development. From day one, you'll have opportunities to lead&mdash;whether that's owning projects, defining technical direction, or shaping how the team operates. 
 
This is your chance to build the agent that builds the future. 
 
Key job responsibilities 
You'll shape the technical direction and architecture of Kiro Autonomous Agent service. Working directly with customers, you'll uncover real-world development challenges and translate them into product capabilities&mdash;staying true to Amazon's customer-obsessed approach. You'll build and operate production systems using industry-leading CI/CD practices, ensuring Kiro Autonomous Agent maintains the reliability and performance our customers depend on. 
 
Your responsibilities span the full lifecycle: from architectural decisions that define how an autonomous agent learns and maintains context, to hands-on development of features that transform how software gets built. You'll balance innovation with operational excellence, making technical choices that enable Kiro to work independently while meeting AWS's standards for scale and security. 
 
Your responsibilities span the full lifecycle: from compiler technologies to agent training and steering to scalable deployment. You'll balance innovation with operational excellence, making technical choices that enable Kiro agents to work smoothly for a wide class of developers while meeting AWS's standards for scale and security. 
 
About the team 
Agentic AI 
 
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
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 &amp; AD&amp;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, OR, Portland - 168,100.00 - 227,400.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Sr. Software Dev Engineer, Kiro

Apple

Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Design, build, and deploy machine learning pipelines that personalize the App Store for billions of users worldwide! Prototype, scale, and optimize algorithm improvements. Build robust, large-scale personalized recommender systems for Apps, Games, Videos, Podcasts and Fitness. See your work touch the lives of billions of Apple users worldwide. 
 
The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Fitness+. And we do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. 
 
Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple&rsquo;s unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple&rsquo;s privacy policy, one of Apple&rsquo;s core values. Although services are a bigger part of Apple&rsquo;s business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here. 
 
Description 
 
We are looking for an exceptional Machine Learning Engineer to help us build and scale personalization systems using the latest advances in machine learning. With your engineering expertise, we want to develop robust, high-performance solutions to power personalized experiences across the App Store that enrich the lives of our customers. You will have the incredible opportunity to partner with researchers to see cutting-edge AI models deployed reliably at Apple&rsquo;s truly incredible global scale.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain scalable machine learning pipelines and infrastructure for training and serving personalization models. 
 
Partner closely with ML researchers to transition prototype models into highly optimized, production-ready systems. 
 
Optimize model inference for low latency and high throughput to meet the rigorous demands of Apple&rsquo;s global user base. 
 
Implement robust monitoring, A/B testing infrastructure, and evaluation frameworks to ensure model quality and reliability in production. 
 
Ship production-quality code and drive engineering best practices, system architecture, and code quality within the team. 
 
Preferred Qualifications 
 
Master&rsquo;s degree in Computer Science, Software Engineering, Mathematics, or a related field; OR equivalent practical industry experience. 
 
Industry experience specifically focused on MLOps, recommendation systems, or search ranking infrastructure. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Mathematics, or a related technical field. 
 
2+ years of relevant work experience. 
 
Strong software engineering fundamentals and technical competence in production-quality software development. 
 
Real-world experience with building, scaling, and deploying recommendation systems or large-scale ML models. 
 
Proven grasp of the open-source Python AI/ML tech stack, including PyTorch, scikit-learn, and numpy-scipy-pandas. 
 
Solid understanding of machine learning algorithms, design patterns, and tools, including deep learning and generative AI. 
 
Proficiency with big data technologies, data processing pipelines, and distributed computing (e.g., Spark, Hadoop, Kafka). 
 
Experience with ML infrastructure, model optimization, and serving models at scale with low latency. 
 
Strong written &amp; oral communication skills, with a collaborative mindset. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Engineer, Apple Services Engineering

DigitalOcean

<div><div>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</div><h2 class="jobSectionHeader">
We are looking for a Manager, Customer Success Engineering (AI &amp; Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.</h2>

As a Manager, CSE (AI &amp; Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering &quot;white-glove&quot; experiences for strategic customers.<h2 class="jobSectionHeader"> 

What You'll Do:</h2>

Team Leadership &amp; Development
<ul>
<li>Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth</li>
<li>Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.</li>
<li>Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.</li>
<li>Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.</li>
<li>Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.</li> 
</ul>
Strategic Customer Support 
<ul>
<li>Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.</li>
<li>Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.</li>
<li>Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.</li>
<li>Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.</li>
</ul>
Technical &amp; Cross-Functional Operations
<ul>
<li>Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.</li>
<li>Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product &mdash; including Jira escalation routing, Sev1 bridge management, and post-incident documentation.</li>
<li> Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content &mdash; treating documentation infrastructure as a core operational lever for team scalability.</li>
<li>Contribute to the vision for AI and automation within support&mdash;building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.</li>
<li>Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.</li>
</ul><h3 class="jobSectionHeader">Key Metrics:</h3>
<ul><li>Customer Satisfaction (CSAT) for strategic accounts</li>
<li>Time to Response and Resolution (TTR) for strategic customers</li>
<li>Tier 1 resolution rate vs. escalation rate</li>
<li>Time-to-escalation and engineering handoff SLA adherence</li>
<li>SLA adherence and escalation response times</li>
<li>Support productivity and quality (QA scores)</li>
<li>Post-incident documentation completion rate</li>
</ul><h2 class="jobSectionHeader">What You'll Add to DigitalOcean:</h2>
<ul><li>Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.</li>
<li>Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.</li>
<li>Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.</li>
<li>Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.</li>
<li>Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.</li>
<li>Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).</li>
<li>Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.</li>
<li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field.</li>
<li>ITIL or equivalent service management certification</li>
</ul><h2 class="jobSectionHeader">Compensation Range:</h2>
<ul><li>$125,000 - $153,000</li>
</ul>
<ul><li>This is a remote role</li></ul>

JR: 2026-7692

#LI-Remote<div><h2 class="jobSectionHeader">
Why You'll Like Working for DigitalOcean</h2>
<ul><li>We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li>We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li>We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li>We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li>DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</div></div>

Manager, Customer Success Engineering

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