{"id":2820072,"url":"https://alion.io/job/amazon-applied-scientist-applied-ai-solutions","title":"Applied Scientist, Applied AI Solutions","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":83,"open_postings":4168,"ghost_share":0,"stale_share":0.883,"repost_share":0.001,"time_to_fill_p50_days":16,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":142800,"max":193200,"currency":"USD","period":"year","gross":null,"usd_annual":193200},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"C++","optional":true},{"name":"Java","optional":true},{"name":"Linux","optional":true},{"name":"Python","optional":true},{"name":"Unix","optional":true}],"status":"live","first_seen_at":"2026-07-15T00:00:00Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-19T10:05:12Z","board_verified":true,"closed_at":null,"days_open":96,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":96},"description":"AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.\nWe're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day-putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle you'll fit right in.\nThe Role We're seeking a talented Senior Applied Scientist with expertise in large language models agentic systems and foundational models. You will be responsible for building the state-of-the-art multi-agent system using a handful of methods including fine-tuning reinforcement learning etc. You'll accelerate our customer-facing features contribute to our collaborative and innovative culture and bring state-of-the-art applied research that raises the bar for the entire team.\nKey job responsibilities\nDrive end-to-end GenAI projects with high complexity and ambiguity from conception to production\nBuild optimize and deploy ML models while collaborating with software engineers for productionization\nResearch innovative machine learning approaches and identify new opportunities for GenAI applications\nPerform hands-on analysis and modeling of large datasets to develop actionable insights\nEstablish scalable automated processes for data analysis model development and validation\nPresent results to senior leadership and collaborate with cross-functional teams About the team 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't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.\nAmazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.\nWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.\nHere at AWS, it'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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness.\nWe're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.\nBasic qualifications\n- 3+ years of building models for business application experience\n- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience\n- Experience in patents or publications at top-tier peer-reviewed conferences or journals\n- Experience programming in Java, C++, Python or related language\n- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing\nPreferred qualifications\n- Experience using Unix/Linux\n- Experience in professional software development\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur 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’re applying in isn’t listed, please contact your Recruiting Partner.\nThe 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. 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