Six Figure Work

Web Application Architect 4, Machine Learning (INDG)

Bloomberg Industry Group

Company websitebloombergindustry.com (Bloomberg Industry Group, opens in new tab)

Base salary $230K  to $275K

Employer-published annual base salary, USD. Advertised base range in United States

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  • LocationUnited States
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

Leads enterprise AI/ML strategy, architecture, governance, evaluation, and value realization across HR, Finance, Product, Sales, Marketing, and News & Content, creating reusable AI capabilities, standards, and operating models that drive scalable process transformation and measurable business outcomes.

What you will do:

  • Architect, design and deliver high-quality technical solutions by promoting and defining INDG best practices for ML algorithms, tools, models, and data structures. 

  • Serve as a strong influencer on technical trends in ML and AI across multiple product areas. 

  • Deliver and present ML solutions for large initiatives across multiple verticals. 

  • Solve complex problems in a creative manner in a timely fashion. 

  • Shape broad architecture; ship multiple large services, complex libraries, or major pieces of infrastructure. 

  • Identify technology strategic growth opportunities that enable INDG to grow as a business. 

  • Participate in providing technology roadmap/vision for the team. 

  • Collaborate with cross-functional teams and communicate technical solutions to non-technical people across the organization. 

  • Participate in special projects and perform other duties as assigned. 

You need to have:

  • Master's or PhD in related field or equivalent work experience. 

  • At least 7 years of software development experience and/or commensurate skills building ML applications for commercial use with modern software engineering practices. 

  • Experience delivering AI/ML-enabled process transformation for multi-hundred person organizations. 

  • Deep expertise of current AI/ML programming languages, including large language models, frameworks, libraries, data structures and data modeling techniques. 

  • Proven track record of delivering large-scale machine learning projects from conception to deployment, with a focus on cloud-based solutions. 

  • Familiarity with distributed software delivery practices such as Agile/Scrum and DevSecOps. 

  • Excellent communication, leadership, and influencing abilities, with a demonstrated ability to guide technical direction across multiple teams and products, emphasizing AWS, DevOps, and cloud knowledge. 

Compensation Range:

$230,000.00-$275,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).

Source: Bloomberg Industry Group on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($230,000) is above 86% of the 3,590 Data & ML roles nationwide listed on this site; 34 others list the same floor. Their median floor is $170,000; the middle half runs from $138,420 to $200,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Bloomberg Industry Group roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Bloomberg Industry Group roles with the nearest advertised base floor
RolePublished base
Web Application Architect 4, Machine Learning (INDG) (this listing)$230K - $275K
Senior Product Management Director, Core AI & Search$245K - $300K
Director of UX & Design$215K - $265K
Data Engineering Architect, Senior$180K - $220K
Architect Manager$175K - $220K
Web Application Architect 4$175K - $225K
Web Application Architect 4 (INDG)$170K - $220K

Same $100K to $400K scale as every card. All Bloomberg Industry Group roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-09
Where this pay comes from

Location as the employer wrote it: Arlington, VA - 1801 S Bell (INDG)

$230,000.00-$275,000.00

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.