AI Engineer developing and deploying AI/ML solutions using Azure technologies. Collaborating with cross - functional teams and implementing CI/CD pipelines in a responsible AI environment.
About the role
- Principal Engineer overseeing AI and data science strategy for financial compliance. Leading team to develop intelligent systems leveraging advanced technologies.
Responsibilities
- Define and lead the AI and data science strategy across Encompass products, aligned with our vision for intelligent KYC automation.
- Partner with Product, Engineering, and Executive teams to identify opportunities for AI-driven innovation, especially around data acquisition and reasoning.
- Architect and lead the development of a cutting-edge agentic AI system for intelligent data discovery, extraction, and decision-making.
- Oversee the integration of LLMs, knowledge graphs, retrieval-augmented generation (RAG), and reinforcement learning for autonomous task execution.
- Champion the application of explainable and trustworthy AI principles in all solutions.
- Serve as a player-coach—writing code, prototyping models, conducting experiments, and reviewing designs.
- Establish best practices for data science, MLOps, and model deployment at scale.
- Guide the selection of AI technologies, platforms, and tooling.
- Mentor team members and the broader business, fostering a culture of curiosity, experimentation, and continuous learning.
- Communicate complex technical concepts to business stakeholders and influence product strategy.
- Represent Encompass in thought leadership forums and industry discussions on AI in RegTech and compliance.
Requirements
- Proven experience in data science, AI, or ML roles with increasing leadership responsibility (people management experience not required).
- Deep expertise in building intelligent systems with one or more of the following: LLMs, agent frameworks, RAG, knowledge representation, or autonomous data pipelines.
- Strong programming and software engineering skills (Python preferred; familiarity with cloud-native and MLOps tools).
- Demonstrated experience in building and deploying AI systems in production environments.
- Strong understanding of data governance, bias, fairness, and regulatory considerations in AI.
- Experience in the financial services, RegTech, or compliance domain is a strong plus.
- Advanced degree (PhD or MSc) in Computer Science, Data Science, AI, or a related field.
Benefits
- Participation in our industry leading share options scheme
- Private Medical Plan
- 20 days a year Work From Anywhere policy for all staff
- Flexible-first working policy
- Enhanced annual, personal and parental leave schemes.
- Paid volunteering leave programme
- Employer recognition and employee assistance programmes
Job title
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Experience level
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Degree requirement
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