Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Job Information

Amazon Generative AI Strategist, Generative AI Innovation Center in Singapore, Singapore

Description

Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on partnering with customers to enhance their business or operational outcomes through the use of advanced and emerging technologies.

You will partner with customers, AWS Sales, AWS service teams, AWS industry teams and AWS Professional Services delivery teams to craft industry-specific programs that will serve the needs of the customer, and extend that use to other customers within the industry and related industries. You will leverage and refine a programmatic approach to help customers drive their business metrics across a set of industry-specific needs. As a trusted customer advocate, the Generative AI Strategist will assess and deliver best practices around program delivery, project approaches, and business measurement. The ability to connect business value to a scalable, repeatable, extensible approach is critical to the Strategist role.

Key job responsibilities

  • Bring alignment between customer’s technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way

  • Discuss complex industry-specific business concepts with executives, line managers and technologists

  • Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organisations

  • Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery

  • Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of generative AI or machine learning

What if I don’t meet all the requirements?

That’s okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical expertise, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You’ll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today.

About the team

The Generative AI Innovation Center will guide customers in figuring out what business needs Generative AI can address, identify and prioritize new use cases based on business value, and implement innovative and practical solutions along with steps to scale. Based on our customers maturity with Generative AI, the Generative AI Innovation Center will provide custom demos and proofs-of-concepts. When customers are ready to deploy solutions into production or need help in a sustained manner, the Generative AI Innovation Center will transition work to ProServe teams or to a partner. With the combined power of resources, technical expertise, and industry knowledge, we can help our customers accelerate their time to value with AI.

Diverse Experiences

AWS 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.

Why AWS?

Amazon 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.

Inclusive Team Culture

Here 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’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.

Work/Life Balance

We 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.

We are open to hiring candidates to work out of one of the following locations:

Singapore, SGP

Basic Qualifications

  • 7+ years of professional experience

  • 3+ years of experience in the industry as a ML practitioner or executive

  • Experience participating in the sales lifecycle (directly or indirectly)

  • Experience in management consulting or related work

  • Experience launching technically complex programs, projects, or related work that includes the following: Big Data, Analytics, Artificial Intelligence, and Machine Learning

Preferred Qualifications

  • Executive communication skills

  • Writing communications skills

  • Experience with presenting to audiences of 5 to 50 people of various levels (developers to executives) and backgrounds (business, technical, operations)

  • Experience in management consulting or related

  • Advanced degree (e.g., MBA, MS)

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