Senior Principal AI Engineer

Overview

We are seeking a Senior Principal AI Engineer to design, build, and deliver production‑grade AI solutions for complex client environments. This role blends hands‑on AI engineering, technical leadership, and client‑facing consulting, with a strong focus on scalable, secure, and responsible AI delivery.

You will work closely with clients and internal teams to translate business problems into engineered AI solutions, covering the full lifecycle from data ingestion through to deployment, monitoring, and optimisation.

Responsibilities

AI Engineering & Delivery
Design, develop, and deploy end‑to‑end AI/ML solutions, including classical ML and generative AI use cases.
Build and maintain production‑ready AI pipelines (data ingestion, feature engineering, model training, evaluation, deployment, monitoring).
Apply MLOps best practices, including CI/CD for models, versioning, automated retraining, monitoring, and rollback.
Ensure AI solutions are scalable, secure, performant, and reliable in real‑world environments.
Architecture & Technical Leadership
Define AI solution architectures aligned to client needs, constraints, and long‑term sustainability.
Set and uphold engineering standards for AI development, testing, deployment, and monitoring.
Evaluate and introduce emerging AI technologies (e.g. GenAI, LLMs, vector databases) where they deliver clear value.
Client Engagement
Engage directly with clients to understand AI use cases, data readiness, risks, and success criteria.
Lead technical workshops and solution design sessions with client stakeholders.
Act as a trusted technical adviser, guiding AI feasibility, trade‑offs, and implementation strategy.
Responsible AI & Governance
Embed Responsible AI principles including explainability, bias mitigation, auditability, and data privacy.
Ensure compliance with data protection regulations (e.g. GDPR) and industry standards.
Team & Capability Development
Mentor AI engineers and data scientists, providing technical guidance and code/model review.
Contribute to internal accelerators, reusable components, and AI delivery playbooks.

Essential skills

Solid software engineering background (Python required; additional languages a plus).
Ability to communicate complex technical concepts clearly to non‑technical stakeholders.

Experience

Strong experience as an AI Engineer, ML Engineer, or similar role delivering production AI systems.
Experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit‑learn).
Proven experience with MLOps and deploying models into live environments.
Cloud experience (Azure, AWS, or GCP).

Benefits

Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges
We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects
Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
Competitive company benefits
Always working as one team, our people are not afraid to think big and challenge the status quo

As a Disability Confident Committed Employer we have committed to:
Ensure our recruitment process is inclusive and accessible
Communicating and promoting vacancies
Offering an interview to disabled people who meet the minimum criteria for the job
Anticipating and providing reasonable adjustments as required
Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people"We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age".

We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive