Director, AI & Data Solution Architect

PWC

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Dallas, TXRaleigh, NCCharlotte, NCChicago, ILCincinnati, OHCleveland, OHColumbia, SCColumbus, OHBaltimore, MDRichmond, VARochester, NYRosemont, ILSacramento, CABoston, MASt. Louis, MOSalt Lake City, UTSan Antonio, TXSan Diego, CASan Francisco, CASilicon Valley, CASeattle, WASpartanburg, SCAlbany, NYStamford, CTTampa, FLAtlanta, GAToledo, OHAustin, TXTulsa, OKWashington, DCDenver, CODes Moines, IADetroit, MIBoca Raton, FLBuffalo, NYFlorham Park, NJFort Worth, TXGreensboro, NCHartford, CTHouston, TXGrand Rapids, MIIndianapolis, INIrvine, CAJacksonville, FLKansas City, MOLas Vegas, NVLittle Rock, ARLos Angeles, CALouisville, KYBirmingham, ALFayetteville, ARMelville, NYMiami, FLMilwaukee, WIMinneapolis, MNMontpelier, VTNashville, TNNew Orleans, LANew York, NYOklahoma City, OKOrlando, FLPhiladelphia, PAPhoenix, AZPittsburgh, PAPortland, OR
Salary
$155,000–$410,000 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $236k
This role $282k
$124k most similar roles pay here $441k

This role pays more than 77% of similar roles. Most pay $193,747–$278,000 — the shaded band above. At the midpoint, this role pays about $282k versus about $236k for comparable roles.

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 104 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 101 roles with salary data.

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View all roles at PWC

At a glance

TL;DR · Director, AI & Data Solution Architect

As a Director, AI & Data Solution Architect within the Data and Analytics Engineering practice, you will lead the design of AI and data solutions to help clients modernize platforms and align technical directions with business goals. You will be responsible for setting strategic direction, leading discovery sessions to translate complex challenges into generative AI concepts, and designing scalable architecture patterns. Your daily work involves building solution roadmaps using LLM APIs, vector databases, retrieval-augmented generation, and LLMOps practices while guiding prompt engineering and conversational programming. You will utilize tools such as AWS Bedrock, Azure AI Services, or Google Vertex AI to deliver data modernization initiatives. The role focuses on solving technical hurdles in data science and cloud services while overseeing evaluation methods for AI outputs, guardrails, and model performance across various production environments.

What you'll do

  • Design AI and data solution architectures to modernize client platforms and align technical direction with business goals.
  • Lead discovery sessions to translate complex business challenges into Generative AI and data modernization concepts.
  • Create scalable architecture patterns using LLM APIs, vector databases, retrieval-augmented generation, and LLMOps practices.
  • Develop solution roadmaps that integrate AI, data science, cloud services, and digital tools into actionable plans.
  • Guide the development of prompt engineering, context engineering, and conversational programming for specific client use cases.
  • Oversee evaluation methods for AI outputs, including guardrails and model performance in production environments.
  • Advise executive stakeholders on AI fluency, operating model changes, and human-AI collaboration opportunities.
  • Drive innovation through rapid experimentation and the adoption of emerging AI platforms and frameworks.

What we're looking for

  • At least a Bachelor's degree.
  • At least 9 years of experience.
  • Experience directing AI and data architecture for client-facing transformation programs (preferred).
  • Ability to translate generative AI strategy into scalable solution roadmaps (preferred).
  • Knowledge of prompt engineering, LLM evaluation, and LLMOps (preferred).
  • Experience with AWS Bedrock, Azure AI Services, or Google Vertex AI (preferred).
  • Experience building agent orchestration, vector databases, and retrieval-augmented generation (preferred).
  • Demonstrated leadership in data modernization across multiple engagements (preferred).

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