Sr. Applied Scientist, Generative AI Innovation Center

Amazon; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Senior Applied Scientist to join their Generative AI Innovation Center. In this pivotal role, you will leverage your expertise in machine learning and generative AI to tackle real-world challenges and deliver impactful solutions for clients. You will collaborate with a talented team of scientists and engineers to design experiments, research cutting-edge algorithms, and optimize customer experiences. This is an exciting opportunity to contribute to transformative projects in a fast-paced environment, where your insights will shape the future of AI applications. If you are passionate about technology and eager to make a difference, this role is perfect for you.

Benefits

Flexible Work Hours

Mentorship Programs

Career Growth Opportunities

Inclusive Team Culture

Qualifications

• 5+ years of experience with Python for model building and evaluation.
• Experience in generative AI solutions and algorithms development.

Responsibilities

• Collaborate with AI/ML scientists to develop generative AI solutions.
• Interact with customers to implement generative AI solutions effectively.

Skills

Python

Generative AI

Algorithms and Data Structures

Numerical Optimization

Data Mining

High-Performance Computing

Scientific Thinking

Communication Skills

Education

PhD in Computer Science, Engineering, Mathematics, or Quantitative Field

Master's Degree

Tools

Amazon Bedrock

Amazon SageMaker

LangChain

LlamaIndex

Job description

Sr. Applied Scientist, Generative AI Innovation Center

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We’re looking for Sr. Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities

As an Applied Scientist, you will:

1. Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges.
2. Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production.
3. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
4. Provide customer and market feedback to product and engineering teams to help define product direction.

A day in the life

This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed.

About the team

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 the 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. The Professional Services team is part of Global Services.

About AWS

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 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.

Minimum Requirements

1. PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, OR Masters degree plus 10 years of relevant work experience.
2. 5+ years of hands on experience with Python to build, train, and evaluate models.
3. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
4. Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies.
5. Experience in patents or publications at top-tier peer-reviewed conferences or journals.
6. Experience with the design, deployment, evaluation, and optimization of Large Language Model (LLM)-powered agents, tools, and orchestration approaches, including the development of high-quality prompts and templates to guide the behavior and responses of LLMs.
7. Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools.
8. Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
9. Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts.
10. Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.