Amazon Web Services, Inc.
Requirements
Must have:
I have over 5 years of expertise in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, and data analytics. I bring at least 8 years of experience in IT development or consulting within the software or internet industries. I possess a minimum of 5 years of experience in building production-grade AI systems, which includes at least 2 years of working with modern Generative AI technologies (like LLMs, foundation models, RAG systems) and autonomous agent frameworks. I have implemented AI architecture patterns and MLOps practices, with successful deployments of enterprise-grade AI solutions serving over 1,000 users at least 3 times. Responsibilities: I will act as a trusted technical advisor to public sector clients within the State and Local Government and Education domains, forging strong relationships with technical decision-makers to facilitate the adoption and implementation of AWS services, particularly around enterprise-grade AI/ML architectures, generative AI solutions, and autonomous agent systems tailored to their specific needs. I am responsible for designing and architecting scalable, secure, and cost-efficient AI/ML solutions utilizing AWSs comprehensive AI stack, including traditional machine learning services and the latest generative AI offerings. I will work closely with clients to comprehend their organizational goals, modernize legacy systems, and ensure solutions align with security, compliance, governance, and responsible AI standards. I plan to serve as a thought leader in the AI/ML and generative AI space for the public sector by generating and sharing practical, real-world technical resources. This will involve creating reference architectures, workshops, hands-on labs, and demo solutions that showcase modern AI methodologies, catering to use cases like digital citizen services, educational success, and government operations. I will amplify AWSs thought leadership by contributing to blogs, presenting at public sector events and webinars, and engaging in technical communities focused on government and education innovation through AI. Company: I deeply value diverse experiences and encourage applicants to apply even if they do not meet every qualification outlined. If your career journey is just commencing, has deviated from a traditional path, or encompasses non-traditional experiences, I strongly urge you to consider this opportunity. At Amazon Web Services (AWS), I lead the worlds most comprehensive and widely adopted cloud platform; I pioneered cloud computing and continue to innovate, earning the trust of clients ranging from successful startups to Global 500 companies for our robust suite of products and services. My culture thrives on learning and curiosity, supported by employee-led affinity groups that promote inclusion and celebrate individuality. Continuous knowledge-sharing and mentorship are at the core of my team, contributing to ongoing professional development. I also prioritize work-life balance, understanding the importance of support both at work and home in achieving success. If I am looking for a challenging role that involves innovating and solving complex problems using cutting-edge technology, I would love to welcome you to our team. Travel across the U.S. may be required up to 30%. #J-18808-Ljbffr
I have over 5 years of expertise in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, and data analytics. I bring at least 8 years of experience in IT development or consulting within the software or internet industries. I possess a minimum of 5 years of experience in building production-grade AI systems, which includes at least 2 years of working with modern Generative AI technologies (like LLMs, foundation models, RAG systems) and autonomous agent frameworks. I have implemented AI architecture patterns and MLOps practices, with successful deployments of enterprise-grade AI solutions serving over 1,000 users at least 3 times. Responsibilities: I will act as a trusted technical advisor to public sector clients within the State and Local Government and Education domains, forging strong relationships with technical decision-makers to facilitate the adoption and implementation of AWS services, particularly around enterprise-grade AI/ML architectures, generative AI solutions, and autonomous agent systems tailored to their specific needs. I am responsible for designing and architecting scalable, secure, and cost-efficient AI/ML solutions utilizing AWSs comprehensive AI stack, including traditional machine learning services and the latest generative AI offerings. I will work closely with clients to comprehend their organizational goals, modernize legacy systems, and ensure solutions align with security, compliance, governance, and responsible AI standards. I plan to serve as a thought leader in the AI/ML and generative AI space for the public sector by generating and sharing practical, real-world technical resources. This will involve creating reference architectures, workshops, hands-on labs, and demo solutions that showcase modern AI methodologies, catering to use cases like digital citizen services, educational success, and government operations. I will amplify AWSs thought leadership by contributing to blogs, presenting at public sector events and webinars, and engaging in technical communities focused on government and education innovation through AI. Company: I deeply value diverse experiences and encourage applicants to apply even if they do not meet every qualification outlined. If your career journey is just commencing, has deviated from a traditional path, or encompasses non-traditional experiences, I strongly urge you to consider this opportunity. At Amazon Web Services (AWS), I lead the worlds most comprehensive and widely adopted cloud platform; I pioneered cloud computing and continue to innovate, earning the trust of clients ranging from successful startups to Global 500 companies for our robust suite of products and services. My culture thrives on learning and curiosity, supported by employee-led affinity groups that promote inclusion and celebrate individuality. Continuous knowledge-sharing and mentorship are at the core of my team, contributing to ongoing professional development. I also prioritize work-life balance, understanding the importance of support both at work and home in achieving success. If I am looking for a challenging role that involves innovating and solving complex problems using cutting-edge technology, I would love to welcome you to our team. Travel across the U.S. may be required up to 30%. #J-18808-Ljbffr