Senior AI Engineer – (Manager) BIP xTech

Senior AI Engineer

• (Manager) BIP xTech About BIP BIP is an international consultancy working with leading organisations to deliver transformation, create long-lasting value and shape the future with confidence. We bring together deep industry expertise, innovative thinking and a collaborative approach to help our clients solve complex challenges and achieve sustainable outcomes. At BIP, our people are at the heart of everything we do. We are committed to creating an inclusive and high-performing culture where individuals are empowered to grow, develop and make an impact from day one. Our values guide how we work, how we collaborate and how we deliver for our clients:
• We Dare to Think and Act Differently
• We
• Create Long Lasting Value
• We Are Creators of Our Own Future
• Together We Go Further About BIP xTech BIP xTech is BIP’s Centre of Excellence for Artificial Intelligence, Big Data, and Modern Data Platforms. We help organisations design, build, and scale AI solutions that deliver measurable business value and are secure, responsible, and production-ready. Role Purpose As a Senior AI Engineer , you will design, build, and run production-grade AI solutions, working end-to-end from use case definition through to deployment, monitoring, and continuous improvement. You will combine strong engineering discipline with applied machine learning expertise, ensuring solutions are robust, scalable, and aligned with Responsible AI principles. You will also lead delivery across AI workstreams, mentor engineers, and support business development activities.

• Design, develop, and deploy production-grade AI and ML solutions, including GenAI and LLM-enabled systems.
• Shape AI solution architectures, selecting appropriate patterns (e.g. batch vs streaming, RAG, feature stores, model serving).
• Lead AI/ML workstreams end-to-end, including planning, delivery governance, and stakeholder management.
• Mentor and support AI engineers, data scientists, and software engineers, fostering high engineering standards and collaboration.
• Implement secure, scalable deployment patterns aligned with governance, compliance, and Responsible AI expectations.
• Embed monitoring, evaluation, and continuous improvement across AI solutions.
• Collaborate closely with Data Engineers, Cloud/Data Architects, and Software Engineers to deliver coherent platforms.
• Contribute to pre-sales, discovery, and proposal development by shaping solution options and delivery approaches.
• Build strong relationships with clients and partners, acting as a trusted technical advisor. Experience & Capability
• 3+ years’ experience delivering AI and ML solutions in production environments.
• Demonstrated experience delivering GenAI and LLM-based solutions from prototype through to production.
• Strong Python engineering skills, with a focus on quality, testing, and maintainability.
• Solid foundations in machine learning concepts, evaluation techniques, and statistical fundamentals.
• Experience working with Databricks and one or more major cloud platforms (Azure, AWS, or GCP).
• Strong understanding of security-by-design, including access control, secrets management, and secure networking.
• Ability to align AI solutions with governance, compliance, and Responsible AI requirements.
• Proven experience leading delivery and coordinating multidisciplinary engineering teams. Desirable
• Practical experience implementing MLOps and LLMOps practices (CI/CD, automated testing, model lineage, reproducibility).
• Experience with infrastructure automation and platform engineering (e.g. Terraform, Docker, Kubernetes).
• Experience creating reusable engineering assets and accelerators.
• Experience working in regulated environments.
• Relevant certifications (e.g. Azure AI Engineer, Azure Data Scientist, AWS Machine Learning
• Specialty).
• Eligibility for, or existing, UK Security Clearance (BPSS/SC/DV).

BIP

• Hybrid working, with regular time in a BIP office and at client sites as required.
• Opportunity to work at the forefront of applied AI delivery within a growing Centre of Excellence.
• A culture that encourages innovation, collaboration, and ownership.