{"id":2717729,"url":"https://alion.io/job/amazon-principal-data-and-agentic-architect-professional-services","title":"Principal Data and Agentic Architect , Professional Services","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":"A","score":87,"open_postings":1872,"ghost_share":0,"stale_share":0.733,"repost_share":0.002,"time_to_fill_p50_days":15,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":57000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"C#","optional":false},{"name":"Hadoop","optional":false},{"name":"JavaScript","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"Ruby","optional":false},{"name":"Spark","optional":false},{"name":"Teradata","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon S3","optional":true},{"name":"Machine Learning","optional":true},{"name":"SGLang","optional":true},{"name":"TensorRT","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-07-13T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T20:16:34Z","board_verified":true,"closed_at":null,"days_open":96,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":96},"description":"AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.\nThe Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery\nConsultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely\nwith customers to design, implement, and manage AWS solutions that meet their technical\nrequirements and business objectives. You'll be a key player in driving customer success\nthrough their cloud journey, providing technical expertise and best practices throughout the\nproject lifecycle.\nPossessing a deep understanding of AWS products and services, as a Delivery Consultant\nyou will be proficient in architecting complex, scalable, and secure solutions tailored to\nmeet the specific needs of each customer. You'll work closely with stakeholders to gather\nrequirements, assess current infrastructure, and propose effective migration strategies to\nAWS. As trusted advisors to our customers, providing guidance on industry trends, emerging\ntechnologies, and innovative solutions, you will be responsible for leading the\nimplementation process, ensuring adherence to best practices, optimizing performance, and\nmanaging risks throughout the project.\nThe AWS Professional Services organization is a global team of experts that help customers\nrealize their desired business outcomes when using the AWS Cloud. We work together with\ncustomer teams and the AWS Partner Network (APN) to execute enterprise cloud\ncomputing initiatives. Our team provides assistance through a collection of offerings which\nhelp customers achieve specific outcomes related to enterprise cloud adoption. We also\ndeliver focused guidance through our global specialty practices, which cover a variety of\nsolutions, technologies, and industries.\nKey job responsibilities\nAs an experienced technology professional, you will be responsible for:\n1. Designing and implementing complex, scalable, and secure AWS solutions tailored to\ncustomer needs\n2. Providing technical guidance and troubleshooting support throughout project\ndelivery\n3. Collaborating with stakeholders to gather requirements and propose effective\nmigration strategies\n4. Acting as a trusted advisor to customers on industry trends and emerging\ntechnologies\n5. Sharing knowledge within the organization through mentoring, training, and creating\nreusable artifacts\nAbout the team\nDiverse Experiences\nAWS values diverse experiences. Even if you do not meet all of the 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.\nWhy AWS?\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.\nInclusive Team Culture\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 (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.\nMentorship & Career Growth\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.\nWork/Life Balance\nWe 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’s nothing we can’t achieve in the cloud.\nBasic qualifications\n- Bachelor's degree in Computer Science, Physics, Engineering or Math\n- 5+ years of practical work applying ML to solve complex problems for large-scale applications experience\n- 8+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience\n- Knowledge of at least one programming language such as Java, C#, JavaScript, Python, Ruby or Perl\n- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders\n- 7+ years of IT platform implementation in a technical and analytical role experience\nPreferred qualifications\n- Master's degree or equivalent in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or experience with AWS Solutions, including EC2, S3, Redshift, EMR (or Hadoop)\n- Experience using managed ML/AI solutions\n- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience with vLLM, SGLang, TensorRT or similar platforms in production environments\n- AWS Professional level certification, or Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field\n- 4+ years of professional work experience, or experience with AWS services or other cloud offerings\n- Generative AI trends, patterns, anti-patterns\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. 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