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JobsVanguard

AI/ML and Gen AI Architect

Vanguard

AI/ML and Gen AI Architect

Vanguard

Charlotte, NC; Malvern, PA

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Flexible Hours

Flexible Hours

Required Skills

AWS

AI/ML

CI/CD

SageMaker

MLOps

Generative AI

Agent-based architecture

Key Responsibilities:

  • Lead the development of scalable, secure, and high-performance AI/ML architectures for CAI priority projects. Provide architectural oversight and technical direction throughout the project lifecycle.
  • Conduct architecture reviews for CAI projects targeted for production deployment. Identify architectural gaps and propose actionable strategies to address them.
  • Collaborate closely with Model Development, Model Operations, Model Governance, and GPT teams. Influence product managers and architects to align roadmaps with CAI project needs and close identified gaps.
  • Partner with Domain and Chief Architects to evolve EDO's architecture strategy, including: (a) Agentic Generative AI Architecture (b) Sage Maker Unified Studio implementation
  • Lead technical evaluations of emerging data and analytics platforms such as Databricks and recommend adoption strategies.
  • Actively participate in daily scrum meetings, offering technical consulting and guidance to project teams.
  • Dedicate at least 30% of the time to hands-on coding, prototyping, and development of AI/ML solutions.
  • Perform code and design reviews to ensure adherence to best practices and architectural standards.

Qualifications:

  • Strong experience with AWS and Cloud Infrastructure (AI/ML cloud infrastructure) and CI/CD development
  • Experience evaluating vendor products and standardization of the technology
  • 8 years related work experience within AI/ML space
  • 3 years of technology architect or technical lead experience.
  • Experience with Sage Maker, and modern MLOps practices.
  • Familiarity and experience with generative AI frameworks and agent-based architecture.

Preferred Skills:

  • Machine Learning model development experience is preferred.
  • Experience with Databricks, Snowflake, or similar analytics platforms.
  • Knowledge of model governance and regulatory compliance in AI.
  • Graduate degree preferred.
  • Undergraduate degree or equivalent combination of training and experience.
  • Excellent communication, leadership, and stakeholder management skills.

Special Factors
Sponsorship Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work:

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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About Vanguard

Vanguard

A client-owned investment company that offers low-cost mutual funds, ETFs, advice, and related services to institutional and individual investors, and financial professionals.

10,001+

Employees

Kelayres

Headquarters

Reviews

3.4

3 reviews

Work Life Balance

2.5

Compensation

3.2

Culture

2.8

Career

3.5

Management

3.0

45%

Recommend to a Friend

Pros

Competitive compensation package with bonuses

Good foundation for career development

Interesting programs aligned with education

Cons

Long commute requirements (2.5 hours)

Mandatory on-site presence multiple days

Pay below industry standards

Salary Ranges

1,532 data points

Junior/L3

Junior/L3 · Client Relationship Associate

529 reports

$60,018

total / year

Base

$55,076

Stock

-

Bonus

$4,942

$46,375

$78,763

Interview Experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter/HR Phone Screen

3

Technical/Case Study Round

4

Final Round Interview

5

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Case Study

Past Experience

Culture Fit