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PTSB is one of Irelands leading retail and SME banks, with an innovative range of products and services powered through an evolving digital landscape, our focus is centred on ensuring we deliver what our customers, colleagues and communities need to be successful.
As an AI and Data Science Team Lead at PTSB, you will lead the design, development, and deployment of agentic AI solutions and advanced machine learning systems that solve complex business and customer problems at scale.
You will combine deep technical leadership with AI architecture ownership, guiding the adoption of AWS platforms such as Amazon Bedrock, Bedrock Agents, and SageMaker, and Microsoft Copilot Studio, to deliver secure, explainable, and production ready AI capabilities across the bank.
The role spans strategy, discovery, architecture, and delivery. You will shape how AI agents, copilots, and decisioning systems are designed, orchestrated, deployed, and governed, while mentoring a high performing team of data scientists and AI engineers.
Responsibilities:
AI Leadership and Agentic Systems
- Provide technical leadership on the design and implementation of agentic AI systems, including multi agent workflows, tool using agents, orchestration patterns, and human in the loop designs.
- Lead the development of enterprise copilots and AI assistants using Microsoft Copilot Studio, aligned to real business workflows and measurable outcomes.
- Define best practices for prompt engineering, memory strategies, tool calling, evaluation, and agent reliability.
AI Architecture and Platform Design
- Own end to end AI solution architecture, from experimentation through to production, using AWS Bedrock, Sagemaker, and supporting AWS services.
- Partner with cloud, data, and security architects to design secure, scalable, and compliant AI platforms, including model lifecycle management and environment separation.
- Drive the development of reusable AI assets, agent templates, and reference architectures to accelerate delivery across teams.
Advanced Analytics and Engineering
- Lead the design and deployment of advanced machine learning and GenAI models, including forecasting, NLP, and decision optimisation, ensuring models are robust, explainable, and production ready.
- Guide the team on model evaluation, monitoring, drift detection, and continuous improvement within regulated environments.
- Ensure strong engineering practices across version control, CI CD, testing, and deployment of AI systems.
Essential Requirements:
- 6 years experience in data science, machine learning, or applied AI, with 1 plus years leading technical teams or AI delivery.
- Strong experience designing and deploying end to end AI solutions in production environments.
- Hands on experience with Microsoft Copilot Studio and building AI assistants or copilots that integrate with enterprise systems.
- Experience working with AWS AI/ML services (i.e. Amazon SageMaker, Amazon Bedrock) or equivalent AI platforms for experimentation, evaluation, and deployment.
- Solid background in Python or R for data science and machine learning.
- Strong understanding of AI architecture, including model orchestration, APIs, cloud services, and integration patterns.
- Proven ability to communicate complex analytical and AI concepts to both technical and business audiences.
- Experience working within regulated environments, with knowledge of GDPR and AI governance expectations.
This is a Permanent position based in Dublin or Cork (Hybrid)
Is this you?
Please apply online on our website or via the apply link of this role. Your application will be sent through to our Talent Acquisition team and they will be in touch regarding your application.
We reserve the right to draw up a shortlist for interview.
The Bank understands the importance of a consistent and relentless focus on championing diversity and inclusion. We aim to attract, recruit, and retain individuals with diverse backgrounds, skills, competencies and abilities to work collaboratively to enhance the service we provide to all of our customers and the communities we serve.
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