Senior Software Architect - .Net/Python

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Senior Software Architect - .Net/Python within PNC's Lending Tech organization, you will be based in Dallas TX, Pittsburgh PA, Birmingham AL, Strongsville OH, Denver CO, or Phoenix AZ.

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

We are seeking a highly experienced Senior Solution Architect to define and execute technology strategy across multiple enterprise initiatives. This role combines strategic architecture leadership, hands on technical expertise, and emerging AI capabilities to deliver scalable, resilient, secure, and intelligent solutions that drive business value.

The successful candidate will work closely with business leaders, product owners, engineering teams, and executive stakeholders to establish architectural direction for initiatives focused on operational efficiency, digital transformation, customer experience, and business growth. This individual will be responsible for guiding multiple development teams, modernizing legacy platforms, driving cloud adoption, and advancing AI enabled solutions throughout the organization.

The ideal candidate possesses deep expertise in .NET, cloud architecture, microservices, event driven systems, and modern software engineering practices, along with experience designing and implementing AI powered applications using Large Language Models (LLMs), AI agents, and machine learning technologies.

Key Responsibilities

Enterprise Architecture & Technology Leadership

Define and drive solution and application architecture strategy across multiple business initiatives and delivery teams.

Architect secure, scalable, highly available, cloud ready enterprise applications using .NET and modern frameworks.

Lead modernization efforts, including migration from monolithic and legacy systems to distributed, cloud native architectures.

Provide architecture consulting, and technical leadership across programs and development teams.

Evaluate emerging technologies and recommend solutions that improve business outcomes, development velocity, and operational efficiency.

Create reusable architectural patterns, foundational frameworks, and development accelerators to promote consistency and productivity.

Cloud, Microservices & Distributed Systems

Design and implement microservices based solutions using Domain Driven Design (DDD) and modern architectural principles.

Lead adoption and implementation of containerized platforms utilizing Docker and Kubernetes or OpenShift.

Architect highly resilient systems supporting active active deployment models, fault tolerance, and disaster recovery.

Design and manage RESTful APIs and service integrations using OpenAPI/Swagger and related standards.

Event-Driven Architecture

Design and implement event driven architectures leveraging Kafka or similar streaming technologies.

Develop scalable data architectures supporting high volume transaction processing.

Ensure data platforms meet performance, reliability, security, and compliance requirements.

AI, Machine Learning & Intelligent Automation

Define and drive AI architecture strategies leveraging Large Language Models (LLMs), AI agents, machine learning, and intelligent automation.

Design and implement AI powered solutions including conversational AI, retrieval augmented generation (RAG), and agentic workflows.

Lead integration of AI agents with applications, APIs, databases, and knowledge repositories.

Evaluate AI technologies, model providers, vector databases, orchestration frameworks, and AI development platforms.

Partner with business stakeholders to identify opportunities where AI and machine learning can improve customer experience, operational efficiency, and decision making.

Leadership & Stakeholder Engagement

Collaborate with product owners, business analysts, engineering leaders, and executive stakeholders to align technology solutions with strategic objectives.

Translate complex technical concepts into clear business recommendations for leadership audiences.

Mentor architects, developers, and technical leads while fostering a culture of innovation, continuous learning, and engineering excellence.

Lead technology selection, architecture reviews, and strategic planning efforts.

Influence organizational technology direction and drive adoption of modern engineering practices.

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