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AI/ML Solutions Architect - Global Life Sciences

Amazon

Amazon

Silicon Valley, California, US.

INTERN

Category

Computer and Mathematical Occupations

Published on 2022-05-23 13:42

DESCRIPTION

Job summary
Amazon Web Services "AWS" is looking for AI Specialist Solutions Architect (AI SA) with healthcare and life sciences domain expertise. The AI SA will be the Subject Matter Expert (SME) for helping healthcare and life sciences customers design machine learning solutions that leverage the AI stack on AWS. You will partner with other SAs, Sales, Business Development and the AI Service teams to enable customer adoption and revenue attainment. You will develop white papers, blogs, reference implementations, labs, and presentations to evangelize AWS AI design patters and best practices for healthcare and life sciences industry. You will also mentor and train the broader SA population, to help other SA’s understand how to integrate the AI stack into healthcare and life sciences customer architectures.

You will have the opportunity to help shape and execute a strategy to build mindshare and broad use of AWS within enterprise customers. The ideal candidate must be self-motivated with a proven track record in machine learning and solution architecture. The ability to connect technology with measurable business value is critical to a solutions architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges.

Roles and Responsibilities

Work with customer’s AI team to deeply understand their business and technical needs and design AI solutions that make the best use of the AWS Cloud platform and AI Services.

– Evangelize AWS Services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
Partner with Generalist SAs, Sales, Business Development and the AI Service teams to accelerate customer adoption and revenue attainment. Act as a technical liaison between customers and the service engineering teams and providing produce improvement feedback. Develop and support an AWS internal community of AI related subject matter experts. In partnership with the sales team, formulate and execute a sales strategy to exceed GLS revenue objectives through the adoption of AWS As a key member of the GLS business development and sales team, ensure success in building and migrating applications, software and services on the AWS platform Educate HCLS customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS Capture and share best-practice knowledge amongst the AWS solutions architect community Author or otherwise contribute to AWS customer-facing publications such as whitepapers Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates Act as a technical liaison between customers, service engineering teams and support Open to domestic travel up to 30%
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.




BASIC QUALIFICATIONS

2+ years of design, implementation, or consulting experience in applications or infrastructures 4+ years within specific technology domain areas (, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)


Hands on experience in the field of AI, Machine Learning, Deep Learning and related technologies. Experience developing AI models in real-world environments and integrating AI/ML and other services into large-scale production applications. 10+ years professional experience in software development in languages like Java, Python, Scala. Experience working with RESTful API and general service-oriented architectures. 10+ years design/implementation/consulting experience with Enterprise applications. Technical degree in Computer Science or Math highly desired or 12+ years of related experience.


PREFERRED QUALIFICATIONS

Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale. Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences. Experience with Machine and Deep Learning frameworks such as MXNet, TensorFlow, Caffe and Torch. Experience with AWS services related to AI/ML highly desirable, particularly Amazon Sagemaker, AWS Lambda, Deep Learning AMI and Deep Learning Containers. 5+ years design/implementation/consulting experience building cloud solutions using AWS. Experience with compliance models such as HIPAA, PHI, HL7, PCI, and Safe Harbor Experience or exposure to the Healthcare and Life Sciences field Professional experience architecting/operating solutions built on AWS Working knowledge of software development tools and methodologies Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers Strong written communication skills High level of comfort communicating effectively across internal and external organizations Demonstrated ability to adapt to new technologies and learn quickly


The base pay range for this position in Colorado is $131,300 - 177,600/yr). Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.



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