Okay, I've searched for Principal ML Engineer roles in the United States that emphasize generative AI and LLM models. The positions require at least 7 years of experience, are full-time, and offer a minimum salary of $200,000. I found 48 relevant positions for you to explore.

Sure. Here's the analysis:

Job Analysis:

The Principal ML Engineer, Applied AI role at TIFIN is fundamentally centered around leading the development of innovative AI solutions that enhance financial advisory services. This position demands a blend of technical acumen in machine learning, particularly with generative AI and LLMs (Large Language Models), and the ability to translate complex AI capabilities into practical tools for financial professionals. Key responsibilities include defining the AI strategy for product lines, overseeing end-to-end system development, and collaborating with cross-functional teams to create seamless user experiences. Expect to challenge existing workflows while integrating with legacy systems, optimizing for low-latency performance, and driving significant operational efficiencies. Success in this role hinges on a candidate’s ability to bridge technical leadership with practical implementation, navigating ambiguities and building partnerships within teams to achieve measurable business outcomes.

Company Analysis:

TIFIN operates within the dynamic fintech space, innovating at the intersection of AI and wealth management. The company, founded in 2018, has established a solid reputation, backed by prestigious partners like JP Morgan and Franklin Templeton, while distinguishing itself through rapid business scaling and a record of successful exits like 55ip. Culture-wise, TIFIN values a growth mindset, driving accountability and team success, which likely fosters a collaborative yet high-velocity environment. As a Principal ML Engineer, you will play a crucial role in a company that emphasizes innovation and agility, reflected in their modular platform and emphasis on developing cutting-edge financial products. Understanding your impact on this evolving platform and how your leadership can steer innovation will be pivotal for long-term success in this role.

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

• Tell me about a time when you had to take a significant technical risk in a project. What was the situation, and what was the outcome?
• Describe an experience where you led a team in developing a generative AI product. How did you ensure all team members were aligned on the project goals?
• Can you give an example of a complex ML model you developed? What challenges did you face, and how did you overcome them?
• How do you stay current with advancements in applied AI and ML, especially regarding LLMs? Can you describe a recent trend that you believe will have a significant impact in the financial services industry?
• How would you approach the challenge of integrating new AI features into an existing legacy system?
• What strategies would you implement to define an AI strategy for a product aimed at improving wealth management services?
• Imagine you are assigned to develop an AI agent for automating a specific task in financial advising. What steps would you take to ensure its effectiveness?
• If you faced resistance from a cross-functional team regarding the implementation of a new AI feature, how would you handle the situation?
• What aspects of TIFIN's mission resonate most with you, and how do you see your work contributing to that mission?
• Why are you interested in this Principal ML Engineer position at TIFIN, and how do you see your background aligning with our values of growth and accountability?
• What questions do you have about the team's current projects and how they align with TIFIN's future innovations?
• How do you measure the success of an AI system once it has been deployed in a real-world scenario?