Search for AI & Machine Learning Engineer Manager roles in Seattle, WA, full-time positions requiring 6-10 years of experience, proficiency in Python, and jobs offering 401(k) benefits.

Okay, I've searched for AI & Machine Learning Engineer Manager roles in Seattle, WA, focusing on full-time positions requiring 6-10 years of experience, proficiency in Python, and offering 401(k) benefits. I have found 112 positions matching your criteria.

AI & Machine Learning Engineer Manager

Seattle, WA

Full Time

6-10 years Experience

Python

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

Sure. Here's the analysis:

Job Analysis:

The AI & Machine Learning Engineer - Manager role at EY is fundamentally about bridging advanced technology with practical business solutions in a client-facing consulting environment. This role demands not only deep technical expertise in AI, machine learning, and data engineering but also the ability to lead and coordinate diverse technical teams, manage complex projects, and navigate fast-paced, ambiguous scenarios often unique to each client. The responsibilities extend beyond coding and model building to designing scalable, maintainable ML workflows integrated into client ecosystems, requiring robust knowledge of cloud platforms, DevOps, and MLOps. Strong communication skills and the ability to translate technical outcomes into actionable client insights are essential, as heavy client interaction is expected. Success in this role means delivering technically sound, innovative solutions efficiently while fostering continuous learning and adaptability. Managing both people and technology, candidates must balance strategic foresight with hands-on execution, responding quickly to evolving AI trends like Generative AI to maintain EY's competitive edge. The ideal candidate will thrive in ambiguity, guiding teams through novel problems with ethical standards and an inclusive leadership style.

Company Analysis:

EY is a global professional services leader committed to building a better working world through data, AI, and technology-driven innovation. Positioned as a trusted advisor with a broad service portfolio, EY blends deep industry expertise with a strong mission-driven culture centered on ethics, inclusion, and continuous learning. The company’s extensive global network and diverse ecosystem partners provide unmatched resources and market reach, empowering employees to impact clients at scale. This role’s place within EY’s consulting practice situates it at the nexus of technical innovation and client engagement, requiring high visibility and collaboration across disciplines and geographies. EY’s culture values agility, curiosity, and inclusion, making it an environment where forward-thinking, growth-minded professionals flourish. The hybrid work model and emphasis on transformative leadership indicate an expectation for self-motivated individuals who can navigate both independent and team-oriented work successfully. For candidates, aligning with EY’s purpose and values is as important as technical competence for long-term success and impact.

Mock up some interview questions based on the job description.

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

Behavioral Questions:
1. Tell me about a time you led a technical team through a challenging AI project with tight deadlines. How did you ensure successful delivery?
1. Describe an instance when you had to communicate complex machine learning concepts to a non-technical client. How did you approach it?
1. Can you share an experience where you had to adapt your approach due to rapidly changing technology or client requirements?
1. How do you foster an inclusive and collaborative environment within diverse technical teams?
Technical/Role-Specific Questions:
1. How would you design and deploy an end-to-end machine learning pipeline on a cloud platform such as Azure or AWS?
1. Explain your experience with Generative AI models and frameworks like OpenAI, Langchain, or Retrieval Augmented Generation. How have you integrated them into client solutions?
1. What DevOps and MLOps practices do you employ to ensure scalable and maintainable AI solutions?
1. Describe your approach to monitoring and continuously improving ML models post-deployment in a client environment.
Situational Questions:
1. Imagine a client’s data is incomplete and noisy, but a quick AI-driven recommendation system is required. How would you address data quality issues while meeting delivery expectations?
1. Suppose two team members disagree on the best technical approach for a critical component. How would you mediate and guide the decision-making process?
1. You receive feedback from a client that the AI solution is not delivering expected business value. What steps would you take to diagnose and resolve this?
Company Fit/Motivation Questions:
1. What attracts you to EY’s mission of building a better working world through AI and technology?
1. How does your personal and professional growth philosophy align with EY’s culture of continuous learning and inclusion?
1. How do you see this role helping EY maintain its competitive edge in a rapidly evolving AI consulting landscape?
Questions for the Candidate to Ask the Interviewer:
1. How does EY support the professional development and upskilling of AI engineers, especially in emerging areas like Generative AI?
1. Can you describe the typical client engagement lifecycle for this role and the kinds of industries most served?
1. How does the AI & Machine Learning team collaborate across EY’s various service lines and global offices to deliver integrated solutions?

Job Details

Overview Company

AI & Machine Learning Engineer Manager

$124.3k/y-$227.9k/y

8 days ago

Highlight

OnsiteFull-time6+ yearsSenior

Summary

EY is seeking an AI & Machine Learning Engineer - Manager - Consulting to join their team in Seattle, WA. The role involves applying cutting-edge technology and techniques to deliver innovative solutions to clients.

About the Role

As an AI & Machine Learning Engineer - Manager, you will work with a variety of clients to deliver the latest data science and big data technologies. You will design and build scalable solutions, provide technical guidance, and ensure data science solutions are properly engineered and maintained. The role involves heavy client interaction in a fast-paced environment, with opportunities for continuous learning and career development.

About You

Required:

Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning.
2-4 years of experience directly managing technical teams.
Strong skills in Python.
Experience using Generative AI models and frameworks such as OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
Experience working with popular ML packages such as scikit-learn, Pytorch, and ONNX.
Extensive experience using DevOps tools like GIT, Azure Devops, and Agile tools such as Jira.
A solid understanding of Machine Learning workflows.
Experience with MLOps methods and platforms such as MLFlow.
Experience with CI/CD and test-driven development.
Experience designing, building, and maintaining ML models, frameworks, and pipelines.
Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.
Understanding of data structures, data modelling, and software engineering best practices.
Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.
Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
Willingness to travel to meet client obligations.

Preferred:

A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches.
Master's degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.
Experience working with diverse teams to deliver complex solutions.
Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
Experience fine-tuning Generative AI models.

Benefits

Comprehensive compensation and benefits package.
Base salary range in the US: $124k–$227.9k.
Base salary range in New York City Metro Area, Washington State, and California (excluding Sacramento): $149.2k–$259k.
Medical and dental coverage.
Pension and 401(k) plans.
Wide range of paid time off options.
Flexible vacation policy.
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams in more than 150 countries work across a full spectrum of services in assurance, consulting, tax, strategy and transactions, strengthened by sector experience and diverse ecosystem partners.

Find out more about the EY global network: http://ey.com/en_gl/legal-statement

Seattle, WA