Search for Principal Applied Scientist roles in Boston, focusing on AI and deep learning, requiring a PhD with 10+ years of experience, and looking for remote job options.

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Principal Applied Scientist

Boston, MA

10 years + Experience

Remote

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Principal Applied Scientist for Agentic AI Professional Services at AWS is fundamentally tasked with serving as the leading technical specialist in the development and execution of advanced AI systems tailored for professional services. This role emphasizes innovation in deep learning and AI architectures, underscoring the need for expertise that not only advances the state-of-the-art but also translates technical goals into business value. As a thought leader, this individual will navigate complex research landscapes while collaborating cross-functionally to ensure that solutions resonate with customer needs and strategic business outcomes. Anticipating challenges such as managing diverse stakeholder expectations and aligning technical complexity with user-friendly solutions will be critical. Success in this role will manifest in both the scientific contributions made by publishing research and the implementation of AI technologies that deliver measurable improvements for enterprise clients, thus impacting the organization’s bottom line and customer satisfaction positively.

Company Analysis:

Amazon Web Services stands at the forefront of the rapidly evolving cloud computing landscape, characterized by its leadership in both technology and market trust. As the most comprehensive cloud platform, AWS is known for its continuous innovation and commitment to scalability—values that harmonize with the scientific advancements the Principal Applied Scientist is expected to contribute. The company culture promotes inclusion, work-life harmony, and professional growth, indicating that the environment is not just about cutting-edge technology but also about nurturing talent and diversity. Within the larger organizational structure, this role operates at a strategic intersection, influencing AI product development while maintaining high visibility with executive leadership and clients. The focus on Agentic AI within professional services suggests that the company is investing in sophisticated solutions to enhance client outcomes, indicating this role's essential part in shaping the operational and strategic trajectory of AWS’s service offerings in the AI domain. An understanding of both the technological advancements and a business-oriented mindset will be vital for a candidate aspiring to thrive in this role and contribute to AWS's overarching objectives.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Can you describe a time when you led a complex AI project from conception to delivery? What challenges did you face and how did you overcome them?
Tell me about a specific instance where your technical knowledge directly contributed to resolving a critical issue in a project.
Describe a situation where you had to translate complex technical concepts to non-technical stakeholders. What strategies did you use?
How do you keep up with the latest advancements in AI, and can you discuss a particular breakthrough that you find particularly impactful?
Can you explain your approach to building and evaluating multi-agent systems? What factors do you prioritize?
What methods do you use to ensure that machine learning models align with business goals and deliver tangible outcomes?
Describe your experience with machine learning frameworks and the languages you prefer for developing AI solutions. Why do you prefer those?
Imagine a scenario where your AI solution does not meet the client's expectations. How would you handle the feedback and adapt the solution?
Suppose you are tasked with aligning a cross-functional team around a new AI initiative. What steps would you take to ensure successful collaboration?
Why do you want to work for Amazon Web Services and how do you see this role aligning with your long-term career goals?
What aspects of AWS’s culture resonate with you, and how do you believe you would contribute to that culture?
Can you provide examples of how your previous work aligns with our mission of providing transformative value through AI?
What questions do you have regarding the team dynamics within the Agentic AI Professional Services Experience team?

Job Details

Overview Company

Principal Applied Scientist

$179k/y-$309.4k/y

Amazon Web Services (AWS)

2 days ago

Highlight

OnsiteFull-time10+ yearsDirector

Summary

Amazon Web Services (AWS) is seeking a Principal Applied Scientist, Agentic AI Professional Services Experience to join their team in Boston, MA. The role involves serving as a technical authority and thought leader in the development and deployment of agentic AI systems.

About the Role

As a Principal Applied Scientist, you will define and drive the scientific vision for AWS's Agentic AI portfolio, lead research and development initiatives, and collaborate with senior scientists. You will architect complex multi-agent systems, design sophisticated machine learning models, and translate technical concepts into business value propositions. You will also lead high-visibility technical delivery for strategic customers and analyze enterprise problems to design AI agent solutions.

About You

Required:

PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience.
8+ years of building models for business application experience.
Experience in patents or publications at top-tier peer-reviewed conferences or journals.
Experience programming in Java, C++, Python or related language.
Experience in AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.

Preferred:

Experience building AI systems for enterprise professional services environments.
Experience leading cross-functional initiatives spanning research, engineering, and product.
History of successful collaboration with product teams to bring research to market.
Demonstrated ability to secure resources and support for ambitious project or research agendas.

Benefits

Base pay ranging from $179k–$309.4k depending on market location and experience.
Equity, sign-on payments, and other forms of compensation may be provided.
Full range of medical, financial, and other benefits.

Amazon Web Services (AWS)

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Boston, MA