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Senior Solutions Architect GenAI, Machine Learning
jobright.com - Atlanta, Georgia, United States, 30383
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Senior Solutions Architect GenAI, Machine Learning
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Senior Solutions Architect GenAI, Machine Learning
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Jobright.ai Senior Solutions Architect GenAI, Machine Learning
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Senior Solutions Architect GenAI, Machine Learning
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Amazon Web Services (AWS) is a leading cloud computing platform that drives adoption of its services globally. The AWS GenAI/ML Specialist Solutions Architect role focuses on providing technical expertise in Generative AI and Machine Learning, collaborating with various teams to solve complex customer challenges and innovate solutions. Responsibilities: Provide customers with deep technical expertise in Generative AI, Traditional AI, and Machine Learning with AWS products to meet their business objectives. Collaborate with specialist, sales, marketing, and products teams to ideate around your customers most challenging problems. Act as a trusted advisor to line of business, AI, Data, and C-suite leaders. Lead architectural reviews and workshops to advance your customers technical objectives. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Participate as a leader in AWS technical communities. Educate customers on the value proposition of AWS, and participate in architectural discussions to ensure solutions are designed for successful deployment in the cloud. Provide data and anecdotes on what is working and what is not back to the larger specialist community and product teams. Act as primary point of contact for urgent customer issues in your technical specialty. Thought Leadership and External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS re:Invent. Develop technical content, workshops, and thought leadership to enable the broader technical community, including Solution Architects, Data Scientists, and Technical Field Community members. Qualifications: Required: 5+ years of design, implementation, or consulting in applications and infrastructures experience 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience 5+ years of technology/software sales experience Experience designing, developing, and optimizing high-quality prompts and templates that guide LLM behavior. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Preferred: Experience with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. Hands-on experience with Amazon Web Services Experience delivering analytic solutions for AI workloads Experience with open-source frameworks for building applications powered by language models like LangChain, LlamaIndex, and Whylabs etc. Experience designing, developing, and optimizing prompts and templates that guide LLM behaviour Experience with design, deployment, and evaluation of LLM-powered agents and orchestration Advanced degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Company: Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. Founded in 2002, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Late Stage. Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Industries
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Join to apply for the
Senior Solutions Architect GenAI, Machine Learning
role at
Jobright.ai Senior Solutions Architect GenAI, Machine Learning
1 day ago Be among the first 25 applicants Join to apply for the
Senior Solutions Architect GenAI, Machine Learning
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Amazon Web Services (AWS) is a leading cloud computing platform that drives adoption of its services globally. The AWS GenAI/ML Specialist Solutions Architect role focuses on providing technical expertise in Generative AI and Machine Learning, collaborating with various teams to solve complex customer challenges and innovate solutions. Responsibilities: Provide customers with deep technical expertise in Generative AI, Traditional AI, and Machine Learning with AWS products to meet their business objectives. Collaborate with specialist, sales, marketing, and products teams to ideate around your customers most challenging problems. Act as a trusted advisor to line of business, AI, Data, and C-suite leaders. Lead architectural reviews and workshops to advance your customers technical objectives. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Participate as a leader in AWS technical communities. Educate customers on the value proposition of AWS, and participate in architectural discussions to ensure solutions are designed for successful deployment in the cloud. Provide data and anecdotes on what is working and what is not back to the larger specialist community and product teams. Act as primary point of contact for urgent customer issues in your technical specialty. Thought Leadership and External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS re:Invent. Develop technical content, workshops, and thought leadership to enable the broader technical community, including Solution Architects, Data Scientists, and Technical Field Community members. Qualifications: Required: 5+ years of design, implementation, or consulting in applications and infrastructures experience 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience 5+ years of technology/software sales experience Experience designing, developing, and optimizing high-quality prompts and templates that guide LLM behavior. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Preferred: Experience with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. Hands-on experience with Amazon Web Services Experience delivering analytic solutions for AI workloads Experience with open-source frameworks for building applications powered by language models like LangChain, LlamaIndex, and Whylabs etc. Experience designing, developing, and optimizing prompts and templates that guide LLM behaviour Experience with design, deployment, and evaluation of LLM-powered agents and orchestration Advanced degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Company: Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. Founded in 2002, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Late Stage. Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Industries
Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Solutions Architect jobs in
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Atlanta, GA $168,000.00-$249,000.00 2 days ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr