AI Engineering Lead - Senior Manager - Data & AI - Technology Consulting - Advisory
PwC is hiring an AI Engineering Lead - Senior Manager - Data & AI - Technology Consulting - Advisory in Dublin, Ireland. Level rates it ; you can apply on PwC.
Level's read on this job
- Level rates this AI engineer role Builds AI ●●●●: the job is building AI systems.
- PwC mentions visa sponsorship in this posting.
- Tools and skills the posting cites include Copilot, Databricks and MLOps.
- Level classifies it as a lead role.
- Level lists 3,700+ other open roles at PwC.
AI in this role
AI Engineering Lead needed to architect and deliver scalable, production-grade AI and generative workflows for enterprise consulting clients.
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Technology StrategyManagement Level
Senior ManagerJob Description & Summary
PwC Ireland — Bring Your Talent, Grow Your Skills, Unlock Your PotentialDo you want to be a part of a team of technology and digital leaders, experienced in scoping, and delivering large transformation programmes in complex matrix environments?
Our Data & AI Consulting team is dedicated to leveraging technology in order to solve complex business problems for our clients. We work with Ireland’s largest organisations across a wide range of industries including financial services, government, healthcare, technology, media and telecoms.
Do you want to be a part of a community of problem solvers combining human ingenuity, experience and technology innovation to deliver sustained outcomes and build trust?
At PwC, we believe real transformation is Human Led and Tech Powered. Key to delivering this capability and driving our continued growth is our ability to guide clients in their consideration and implementation of leading Data, Analytics and AI Technologies. As we embark on further building on our deep technical and commercial teams, we are hiring for talent with skills in data strategy, governance, and transformation. By joining our Data & AI team you will have the opportunity to help shape the future of our company and help clients deliver bigger, more impactful transformation that lasts.
Purpose-led work you’ll be part of
As a Senior Manager, you’ll lead AI-enabled, data-driven engagements and help shape our market proposition. This is a role where strategy meets execution: you’ll own solution direction from discovery and design through build, deployment and adoption; bridge business needs with technical implementation; and translate emerging AI capabilities into practical, governed and scalable outcomes.
Role & Responsibilities:
AI Solution Delivery
Lead multi-workstream AI engagements end-to-end — from solution design through production deployment — across use cases such as intelligent document extraction, automated variance analysis, compliance agents, and generative AI workflows
Architect and assure technical solutions across data platforms, integration patterns, and deployment approaches, ensuring designs are secure, scalable, cost-conscious, and production-grade
Apply AI and advanced analytics to unstructured data challenges in remediation, compliance, and large-scale document review contexts where auditability, traceability, and governance are non-negotiable
Define target-state data and AI operating models — including governance, ownership, decision rights, Responsible AI controls, human-in-the-loop design, and data product management (lineage, quality, metadata, stewardship) — to ensure solutions remain trusted and usable beyond go-live
Delivery Management
Engage with senior client leadership to define data strategy, assess control execution, identify reporting gaps, and design future-state data capabilities aligned to business strategy
Translate complex technical capabilities into clear business outcomes — quantifying value in terms of hours saved, manual effort eliminated, improved controls, enriched data quality, and strengthened auditability
Own programme governance and delivery excellence including financial management, planning, RAID management, executive reporting/steerco packs, quality assurance, and benefits tracking
Practice & Commercial Growth
Expand existing client relationships by converting proven delivery into repeatable, scalable opportunities — building pipeline from within active accounts and shaping longer-term commercial relationships grounded in tangible value
Contribute to proposals, go-to-market and thought leadership by shaping points of view, accelerators, demos, and case studies—translating delivery learnings into repeatable offerings
Codify reusable delivery assets, governance approaches, and solution patterns drawn from live client work to accelerate future engagements and strengthen the practice
Team Leadership & Culture
Build team capability and culture through coaching, performance management, on-the-job training, and active contribution to hiring and onboarding
Your Profile:
Required:
Proven end-to-end delivery of AI and data solutions into production (not just strategy or proof-of-concept), including applied experience in NLP/document extraction, generative AI workflows, or agent-based automation — with working knowledge of MLOps/LLMOps practices including evaluation, monitoring, and model lifecycle management
Strong proficiency in Python, SQL, and modern analytics engineering (e.g., dbt or equivalent), including data modelling patterns and transformation pipeline orchestration for production-grade data and AI applications
Strong leadership across teams — coach and develop technical consultants (onshore/nearshore/offshore) into high-performing delivery teams
8+ years’ experience in solution design and technical delivery, with recent senior accountability for outcomes across multiple workstreams
At that the director level 15+ years’ experience is required with significant experience within the Irish market
Preferred:
Experience delivering in regulated environments (e.g., financial services, insurance, public sector) where governance, auditability, risk management, Responsible AI, data privacy, and security-by-design are non-negotiable
Hands-on proficiency with cloud data platforms — one or more of: Snowflake, Azure Data Services, Databricks
Experience with modern deployment practices (CI/CD, testing, observability) and containerised services (Docker/Kubernetes) to support production-grade solutions
Experience with low-code AI and automation tools: particularly Microsoft Power Platform, Microsoft Copilot Studio, and/or Salesforce Agentforce
Data strategy and governance expertise including operating model design, data ownership/stewardship, data quality management, lineage/metadata, access controls, and control/audit evidence
Strong client leadership: able to shape problem statements, challenge constructively, and secure decisions with senior stakeholders in ambiguous environments
Commercial aptitude: shaping scope, estimating, writing proposals, and managing engagement economics (margin, resourcing, and risk)
Enjoy PwC’s perks
We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive employee benefits and flexibility programs that will help you thrive in work and life. Learn more about us at Life@PwC. (https://www.pwc.ie/careers-ie/life-at-pwc.html).
Being appreciated for being you
Our most valuable asset is our people and we grow stronger as we learn from one another. We are an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We believe this so much that we have signed up for the Business in the Community Elevate Pledge. (https://www.bitc.ie/the-leaders-group-on-sustainability/inclusive-workplace-pledge/)
You can learn more about our culture of belonging and explore our range of inclusive programmes, initiatives, employee resource groups and more at www.pwc.ie.
Avoid the confidence gap; you do not have to match all the listed requirements exactly to apply, we’d love to hear from you!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please email us for more information.
PwC Ireland is committed to creating an environment that promotes equality and dignity at work. Working together in an inclusive environment enables us to harness the collective and complementary skills, knowledge, background, and networks of our people.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 46 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
YesGovernment Clearance Required?
NoJob Posting End Date
How we rate this
AI Engineering Lead - Senior Manager - Data & AI - Technology Consulting - Advisory at PwC rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $185k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where ai solution delivery was part of your work. What did you do?
- Tell me about a project where solution architecture was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, NLP, AI Safety, AI Solution Delivery, and Solution Architecture. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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