AI Engineer

PWC

Confirmed live today High trust

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Work type
On-site
Location
Tampa, FLRaleigh, NCCharlotte, NCChicago, ILCincinnati, OHCleveland, OHColumbia, SCColumbus, OHDallas, TXBaltimore, MDRochester, NYRosemont, ILSacramento, CABoston, MASt. Louis, MOSalt Lake City, UTSan Antonio, TXSan Diego, CASan Francisco, CASilicon Valley, CASeattle, WASpartanburg, SCAlbany, NYStamford, CTToledo, OHAtlanta, GATulsa, OKWashington, DCDenver, CODes Moines, IADetroit, MIBoca Raton, FLBuffalo, NYFlorham Park, NJFort Worth, TXGreensboro, NCHartford, CTHouston, TXGrand Rapids, MIIndianapolis, INLittle Rock, ARLos Angeles, CALouisville, KYBirmingham, ALFayetteville, ARMelville, NYMiami, FLMilwaukee, WIMinneapolis, MNMontpelier, VTNashville, TNNew Orleans, LANew York, NYPhiladelphia, PAPhoenix, AZPittsburgh, PAPortland, OR
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

How this pay compares to similar roles

Similar $178k
$110k $237k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,817–$214,000.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 108 open roles on FindRole.

Listed pay typically runs $99,000–$252,450 across 104 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · AI Engineer

JOB TITLE: AI Engineer As a Senior Associate within the Internal Firm Services practice, you will develop software solutions to support digital transformation and improve business performance. You will analyze complex problems, manage workstreams, and guide junior team members through the full application lifecycle. Your daily responsibilities include designing and developing AI-enabled software, building scalable services, translating business requirements into technical designs, and performing testing and debugging. You will utilize Python, Java, or JavaScript to integrate machine learning tools, automate workflows, and support human review of model outputs. The role requires expertise in CI/CD, code review practices, and microservices development within cloud-native architectures. You will evaluate data patterns to inform technical decisions while solving business problems through innovative software engineering methods and robust technical designs.

What does a AI Engineer earn in New York?

Median $228325 from 60 postings across 10 companies.

See salary data

What you'll do

  • Design and develop AI-enabled software solutions to support internal technology initiatives and digital transformation.
  • Build scalable applications and services using modern programming languages, frameworks, and software engineering methods.
  • Integrate machine learning tools to automate workflows and support human review of model outputs.
  • Translate business requirements into technical designs, user stories, and functional specifications.
  • Write, review, and refine code to ensure maintainability and adherence to coding standards.
  • Test, debug, and troubleshoot software components to resolve defects and improve application reliability.
  • Contribute to API design, microservices development, and cloud-native architecture for enterprise applications.
  • Review deliverables from junior team members and provide guidance on technical methods and quality controls.

What we're looking for

  • At least a Bachelor's degree or equivalent specialized training and work experience in Software Engineering is required.
  • At least 2 years of experience is required.
  • Preference for a degree in Accounting, Business Analytics, Computer Science, Finance, or related fields (preferred).
  • Demonstrate AI engineering skills in Python, Java, or JavaScript (preferred).
  • Apply machine learning methods to business problems and workflows (preferred).
  • Use CI/CD, testing, and code review practices (preferred).
  • Analyze data to inform recommendations and technical decisions (preferred).
  • Collaborate across teams, mentor peers, and manage ambiguity (preferred).

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