Posted: 11 June
The role
About Us
Founded in 2002, CubeMatch is a global financial services consulting firm delivering complex programmes across strategy, technology, digital and innovation. With over 400 employees worldwide, the firm is known for its hands‑on approach, strong client partnerships and consistent delivery of impactful, lasting results. Despite its global presence, CubeMatch remains proudly people‑driven, with a flat structure that empowers individuals to contribute, lead and shape the company’s direction. The culture is entrepreneurial, collaborative and diverse, fostering innovation, continuous learning and professional growth. At CubeMatch, joining us means more than taking on a role — it means becoming part of a story we are building together.
Job Description
CubeMatch is seeking an innovative ML, Agentic AI & Intelligent Systems Engineer to design, build, and deploy next‑generation AI solutions with a focus on agentic AI, multi‑agent systems, intelligent automation, and large language model (LLM) technologies. This role will be responsible for engineering autonomous and semi‑autonomous AI agents, developing scalable AI‑powered applications, and shaping enterprise AI architecture to deliver secure, transparent and production‑ready solutions. The successful candidate will work across the full AI product lifecycle—from problem definition and solution design through deployment, monitoring, and optimisation—leveraging modern AI platforms and cloud‑native technologies. Working closely with data scientists, engineers, architects and business stakeholders, they will contribute to the development of scalable AI frameworks, intelligent workflows and responsible AI practices that drive innovation, operational efficiency and enhanced customer and colleague experiences across the organisation.
Key Responsibilities
Design and engineer agentic AI systems, including single Agent and multi‑agent architectures capable of reasoning, planning, tool usage and task orchestration.
Develop AI agents that integrate LLMs with enterprise data, APIs and workflows, enabling autonomous decision support and process automation.
Implement safeguards, grounding strategies and evaluation mechanisms to ensure safe, reliable and explainable agent behaviour.
AI & LLM Architecture
Design end‑to‑end AI solution architectures, covering data ingestion, embeddings, vector stores, orchestration layers, inference, monitoring and human‑in‑the‑loop controls.
Architect scalable LLM‑based solutions using retrieval‑augmented generation (RAG), tool/function calling, prompt pipelines and memory patterns.
Contribute to defining ClientsAI reference architectures and best practices.
AI Platform
Build and deploy AI solutions using Microsoft Co‑pilot Studio, including custom co‑pilots and agent extensions.
Leverage AWS Bedrock, SageMaker and related AWS services to develop, experiment and operationalise AI use cases.
Support integration of AI agents into enterprise applications, platforms and workflows.
Model Development & ML Ops
Develop, evaluate and fine‑tune ML and AI models, including traditional ML, deep learning and GenAI models.
Deploy AI solutions using ML Ops / LLM Ops best practices, including versioning, monitoring, drift detection and retraining strategies.
Monitor production AI systems for performance, reliability, bias and compliance.
Data, Governance & Responsible AI
Collaborate with data and governance teams to ensure high‑quality, well‑governed data underpins AI solutions.
Design and implement AI systems aligned with ethical AI, fairness, privacy and regulatory requirements.
Produce clear documentation covering architectures, agent behaviour, risks and controls.
Collaboration & Capability Building
Work closely with software engineers to embed AI capabilities into production systems.
Mentor and coach less‑experienced colleagues in AI engineering and agentic AI concepts.
Contribute to the D&A Community of Practice, internal showcases and capability building initiatives.
Qualifications / Essential Skills & Attributes
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Software Engineering or related discipline.
Proven experience as an ML/AI Engineer or in a related role delivering production AI solutions.
Strong proficiency in Python and experience translating prototypes into production‑ready systems.
Solid understanding of AI/ML system design, including data pipelines, model lifecycle management and deployment patterns.
Hands‑on experience with cloud‑based AI platforms, preferably AWS, including MLOps practices.
Strong understanding of model monitoring, drift, dependencies and operational risk.
Ability to communicate complex AI concepts to both technical and non‑technical stakeholders.
Experience designing or building agentic AI systems, AI assistants or autonomous workflows.
Hands‑on experience with Microsoft Co‑pilot Studio and/or Azure AI Foundry.
Experience with LLMs, prompt engineering, RAG architectures, vector databases and tool‑calling patterns.
Familiarity with GenAI governance, evaluation frameworks and responsible AI controls.
Experience in banking or financial services, or similarly regulated environments.
Exposure to distributed data processing, APIs and enterprise integration patterns.
Why CubeMatch?
Being part of a team that values integrity and ethical conduct above all else.
Collaborating with colleagues who are passionate about driving innovation and positive change.
Joining an inclusive and diverse workplace where your contributions are recognized and appreciated.
Accessing professional development opportunities to grow and advance in your career.
Awards and Recognitions
Women in Finance Awards 2026 – Winner: Diversity, Equality & Inclusion Strategy of the Year
Europe FinTech Awards 2025 – Winner: Young Achiever of the Year
FS Awards 2025 – Winner
Europe FinTech Awards 2024 – Winner: Best Employer Award
FS Awards 2024 – Winner: Employee Experience Award
Our Values
We engage with our employees, associates and clients to build strong, trusted and long‑lasting relationships that deliver value. We invest in our employees & associates through learning & development, communication and engagement to attract the best talent to match our clients’ needs. We create a working environment of respect, a culture of listening and learning; while always evolving to ensure we align with the industry's latest needs. We have over two decades of experience where we consistently deliver quantifiable results & sustainable process improvements.
Relationships & Reputation
We engage with our employees, associates, and clients to build strong, trusted, long‑lasting relationships that deliver value.
Expertise
We invest in our employees & associates through learning & development, communication, and engagement to allow us to have the best talents to match our clients’ needs.
Always evolving
We create a working environment of respect, a culture of listening and learning; while always evolving to ensure we align with the industry's latest needs.
We deliver
We have over two decades of experience where we consistently deliver quantifiable results & sustainable process improvements.
Diversity and Inclusion Statement
At CubeMatch, our drive comes from finding joy in both work and life, drawing inspiration from the diverse perspectives of our team members. We believe in harnessing the power of these differences to drive positive change for our clients and communities, creating a ripple effect of impact. Every individual is an integral part of our narrative, and we aim to build a workforce that mirrors the diversity of the world around us. We deeply value all the unique qualities that define you, both seen and unseen. We seek out exceptional talent and provide unwavering support to help our teams learn, grow, and celebrate achievements together. At the heart of our organization lies the belief that unity strengthens us, and diverse viewpoints enrich our approach, enabling us to drive meaningful change. We acknowledge and appreciate the skills stemming from your life experiences and learning journeys. Whether you’re at the beginning of your career, returning to the workforce, exploring new directions, or embracing a fulfilling journey beyond retirement, we recognize the value each path brings, with its own array of working methods. Above all, we encourage you to embrace your authentic self and prioritize a healthy work‑life balance, knowing that true success is fueled by a sense of fulfilment in all aspects of life.
Equal Opportunity Employer
As an equal opportunity employer, all employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.
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