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Applied AI Engineering Lead @ Anthropic
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Applied AI Engineering Lead @ Anthropic.
Santa Clara University
Bachelor of Science, Engineering Physics
January 1, 2008 – January 1, 2012
Anthropic
Manager, Applied AI Engineering
December 1, 2025 – Present
New York, New York, United States
Anthropic
Applied AI Engineer
November 1, 2024 – January 1, 2026
New York, New York, United States
Career Break
Travel
September 1, 2023 – September 1, 2024
The World. Lyon, France.
AI Solutions Tech Lead - Google Cloud
January 1, 2021 – August 1, 2023
New York, New York, United States
Learning Architect - AI/Data
November 1, 2019 – January 1, 2021
New York, New York, United States
ML Specialist - Google Cloud
January 1, 2018 – November 1, 2019
New York, New York, United States
Solutions Engineer - Google Cloud Platform
May 1, 2016 – December 1, 2017
New York, New York, United States
Cisco
Systems Engineer - Data Center
January 1, 2014 – May 1, 2016
Cisco
IT Engineer
July 1, 2012 – January 1, 2014
Santa Clara Community Action Program
Director
March 1, 2011 – June 1, 2012
Santa Clara University
Student Ambassador, Undergraduate Admissions
December 1, 2008 – June 1, 2011
Santa Clara, California, United States
Cultural Fit Analysis
The candidate's diverse experience across different roles (engineering, solutions, learning architect, management) and companies (Cisco, Google, Anthropic) suggests adaptability and a broad perspective. Their involvement in building 0-1 products and leading teams indicates an innovative and proactive approach. The career break for travel and language immersion also points to a curious and globally-minded individual. However, the target role of 'Data Analyst' is a significant shift from their recent senior AI/ML engineering and management roles, which might indicate a potential mismatch in current career trajectory or a desire for a different type of challenge. While they have strong data-related skills, the depth of pure 'analyst' work is less explicit than their engineering and leadership experience.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, communication (evidenced by authoring a book and teaching), and problem-solving skills through their experience in building novel AI solutions. Their career break for travel and language immersion suggests adaptability and a growth mindset. The progression through various roles at Google and Cisco indicates operational effectiveness and ability to take on increasing responsibility.