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Key job responsibilities
You will help develop the industry’s best generative AI delivery 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 Scientists, Architects, and Engineers from internal and external sources.You will identify opportunities for building reusable technical assets based on recurring patterns of customer needsYou will provide customer and market feedback to Product and Engineering teams to help define product directionYou will drive revenue growth across a broad set of customersYou will deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production
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.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
- Bachelor's degree in computer science, mathematics/statistics, computer engineering or related technical discipline
- Several years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Several years of technical management experience, including a minimum of 1 year in a technical management role in a customer-facing or consulting organization
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning
- Ability to demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)
- PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
- Prior experience in training and fine-tuning of Large Language Models (LLMs)
- 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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