Generative AI Solution Architecture Manager, AWS Generative AI Innovation Center
Found in: Talent UK C2 - 1 week ago
The Generative AI Innovation Center helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale.
Key job responsibilities
You will work directly with customers to drive adoption and shape the future of the most exciting emerging technology by understanding the business problem and guiding our customers in implementation of generative AI solutions, and developing long-term strategic relationships with key accounts
You will help develop the industry’s best solutions architecture and ML engineering team by enabling and coaching your specialist team on best practices and how to create and present value-driven architectures of widely varying size and complexity. You will grow an existing team by hiring, on-boarding, training, and developing new Solution Architects and Engineers from internal and external sources.
You will identify opportunities for building reusable technical assets based on recurring patterns of customer needs
You will provide customer and market feedback to Product and Engineering teams to help define product direction
You will drive revenue growth across a broad set of customers
You will be a thought leader and drive value creation for our customers, shaping technical solutions, growing the team, and leading specific customer engagements
You will deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production
About the team
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. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
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:
London, GBR
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience- Several years experience in a technical role, including leading a technical team
- Experience coding in one or more languages (e.g., Python, Scala, Java, Go).
- Experience building cloud-based ML solutions and developing applications using AI frameworks
- Ability to demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.
PREFERRED QUALIFICATIONS
- MSc degree in Computer Science, Mathematics, a related technical field- Deep expertise in generative AI and hands on experience of deploying and hosting Large Foundational Models
- Experience and deep knowledge of AWS and AWS AI/ML services
- Experience as a pre-sales, customer-facing field development manager
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