AI Engineer - Senior Manager
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 20, 2026. PwC UK scores A on the Alion truth index.
Industry/Sector
Not ApplicableSpecialism
Software EngineeringManagement Level
Senior ManagerJob Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.
As an AI Engineer you will develop innovative software solutions within our Software and Product Innovation practice, focusing on designing, coding, and testing applications that support digital transformation and business performance. As a Senior Manager you will lead large workstreams, shape technical direction, and use sound judgment to guide teams through complexity while driving operational excellence and clear communication with stakeholders. In this role at PwC, you will support client-facing delivery, apply systems thinking to identify opportunities and underlying issues, and coach diverse teams as they deliver software products and AI-enabled solutions.
Responsibilities
- Leading AI software engineering initiatives from design through deployment, coordinating technical direction across client engagements
- Advising clients on practical uses of machine learning, generative AI, and automation within software products and platforms
- Designing scalable application architectures, APIs, and integration patterns that support evolving business needs
- Overseeing development teams through code review, testing, debugging, and release management for complex software solutions
- Applying programming languages, cloud tools, and modern development frameworks to build and enhance intelligent applications
- Translating business requirements into technical roadmaps, delivery plans, and implementation approaches
- Validating model outputs, application behavior, and system performance against defined functional and technical requirements
- Guiding teams through ambiguous problems by using systems thinking, sound judgment, and clear technical communication
- Coaching team members on software engineering methods, delivery planning, and applied AI development practices
- Monitoring delivery risks, escalating blockers when needed, and driving resolution across cross-functional stakeholders
What You Must Have
- At least a Bachelor's degree
- At least 12 + years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering
- Demonstrating AI engineering experience across client-facing delivery projects
- Applying systems thinking to translate business needs into technical solutions
- Leading cross-functional teams through ambiguity, complexity, and change
- Crafting clear messages for executive and technical stakeholders
- Coaching team members while advancing inclusive team performance
Travel Requirements
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