AI Engineer

• Job Sector: Transport Infrastructure Defence Energy Cross  Sector

At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we’ve been helping companies of all sizes improve the way projects are delivered.

Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered.

Our vision is simple yet powerful:
to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery.

We’re proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024
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Movar is in an exciting period of growth, and there’s never been a better time to be part of our journey. We’re building something special—scaling our business while staying true to our people-first approach.

At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we’re keen to build a team that is as ambitious as we are.

• Integrity – We do the right thing, always.
• Drive – We push boundaries and strive for excellence.
• Empathy – We care deeply about our people and clients.
• Adaptability – We embrace change and thrive in it.
• Loyalty – We stand by each other and our mission.

We are seeking a Principal AI Engineer with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward.

This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy.

The ideal candidate will drive innovation by architecting cutting‑edge agentic AI solutions, leading technical teams, and establishing Next Practice for AI development across the organisation and industry.

This is a high-impact role that requires both technical excellence and leadership acumen to shape the future of AI within our company and mentor the next generation of AI engineers.

Technical Leadership & Architecture: With Pillar Lead, define and execute agentic strategy for Movos platform. Lead the design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects.

AI/ML Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi‑modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems.

Team Leadership & Mentorship: Lead and mentor a team of AI engineers, data scientists, and data engineers. Foster a culture of technical excellence, continuous learning, and innovation within the Agentic Engineering team. Collaborate closely across pillars to deliver impactful AI solutions.

Research & Development: Stay at the forefront of AI research and emerging technologies, evaluating and integrating cutting‑edge techniques into our technology stack. Contribute to open‑source projects and represent the company at technical conferences and industry forums. Drive proof‑of‑concept initiatives and experimental projects to explore new AI capabilities.

Technical Governance & Quality: Establish robust testing frameworks, performance monitoring, and quality assurance processes for AI systems. Ensure AI solutions meet enterprise standards for reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges.

Technical Expertise: Deep expertise in AI/ML frameworks (Tensor Flow, PyTorch, Scikit‑Learn, Transformers), cloud platforms (AWS, Azure, GCP), and…