Solution Architect Senior, AI/ML Architecture

PNC

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Quick summary

Work type: On-site
Location: Pittsburgh, PACleveland, OHBirmingham, ALDallas, TXDenver, CO
Employment: Full-time
Posted: 147 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $198k

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About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 159 open roles on FindRole.

Listed pay typically runs $91,000–$179,200 across 22 roles with salary data.

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At a glance

TL;DR · Solution Architect Senior, AI/ML Architecture

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JOB TITLE: Solution Architect Senior - AI/ML Architecture As a Solution Architect Senior within the Technology organization, you will lead strategy, architecture, and innovation across business, application, platform, data, and AI/ML domains. You will partner with senior leaders to bridge current needs with future objectives, developing scalable architectures for large-scale transformation initiatives, including AI-enabled products and automation use cases. Your daily work involves designing solution architectures, defining data patterns, and governing data ecosystems like data lakes, warehouses, and streaming architectures. You will utilize skills in Machine Learning, Generative AI, and the Open Group Architecture Framework to provide guidance on ML Ops, agentic coding workflows, and cloud-native data services. You must ensure all designs meet non-functional requirements like security and privacy while promoting responsible AI through model risk management and explainability.

Skills

AI/ML Generative AI Solution Architecture Data Architecture Platform Architecture ML Ops TOGAF Data Warehousing Data Lakes Lakehouses Streaming Architectures Cloud-native Data Services Vector Search Metadata Management Model Risk Management SDLC Requirements Analysis System Architecture

What you'll do

Design solution architectures for complex programs including system, application, data, and AI service designs.
Develop and govern data architecture patterns, logical models, and master data strategies to support AI-ready data.
Provide architectural leadership for data platforms, including data lakes, warehouses, and cloud-based data services.
Define reference architectures and guardrails for agentic development and generative AI capabilities at enterprise scale.
Consult with engineering teams on data design, integration patterns, storage technologies, and ML Ops practices.
Collaborate with risk and governance partners to ensure architectures meet security, privacy, and regulatory standards.
Analyze business requirements to produce architecture recommendations that align technology with business outcomes.
Oversee architecture outcomes across initiatives to ensure they meet functional and non-functional requirements at each phase.

What we're looking for

Bachelor's degree is required.
Masters degree, PhD, or certifications are desirable.
Typically requires 8+ years of industry-relevant experience.
Strong background in solution, platform, system, application, and data architecture.
Demonstrated experience enabling AI/ML and Generative AI capabilities at enterprise scale.
Knowledge of business architecture, data modeling, and cloud-based data services.
Proficiency in TOGAF and Enterprise Architecture Frameworks (preferred).
Experience with Machine Learning and Risk Assessments (preferred).

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