At a Glance
- Tasks: Design and implement advanced AI systems that drive real business impact.
- Company: Join a leading consultancy at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical AI practices.
- Why this job: Be a key player in shaping the future of AI technology.
- Qualifications: Experience in AI/ML solutions and strong stakeholder engagement skills.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Senior AI Consultant who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. The role focuses on bridging the gap between AI prototypes and fully embedded business solutions. You will be responsible for scaling AI solutions responsibly and reliably, ensuring measurable business impact while implementing ethical and robust AI practices.
Key Responsibilities
- Lead the design and delivery of end-to-end AI/ML systems, from data preparation and feature engineering to model development, deployment, and monitoring.
- Implement robust MLOps frameworks, governance structures, and best practices across projects.
- Deploy Generative AI and Agentic AI solutions, including retrieval-augmented generation (RAG) pipelines, agentic workflows, and orchestration of large language models.
- Translate AI use case requirements into scalable and efficient data and AI architectures.
- Design cloud-native AI solutions across multiple cloud providers and environments.
- Build feature stores, model management systems, and pipelines for production-grade deployment.
- Embed safety, evaluation, and assurance mechanisms across the AI lifecycle.
- Ensure AI systems are ethical, explainable, and responsible, with built-in evaluation frameworks.
- Work closely with product managers, data scientists, and business stakeholders to ensure AI solutions deliver tangible business value.
- Translate business and functional requirements into technical blueprints and guide multi-disciplinary teams to execute them.
- Support proposals, client demos, and proofs-of-concept showcasing AI delivery patterns.
- Develop reusable assets and internal frameworks to accelerate AI delivery across teams.
- Contribute to thought leadership, research, and internal innovation initiatives in areas such as LLMOps, agentic AI, and evaluation frameworks.
Required
- Proven ability to work in a consulting environment or industry with a consulting mindset.
- Experienced in influencing both technical and non-technical stakeholders.
- Extensive experience designing and implementing AI/ML solutions at scale, including MLOps frameworks and pipelines.
- Strong understanding of RAG pipelines, embeddings, agentic orchestration, and evaluation frameworks.
- Expertise in designing cloud-native data and AI architectures across major cloud platforms.
- Demonstrated ability to deliver measurable business outcomes from experience with at least one major cloud provider for AI/ML solutions.
- Hands-on experience with automation frameworks, feature stores, and model management systems.
- Familiarity with building LLM-based workflows and knowledge integration pipelines.
- Ability to design retrieval-augmented generation pipelines, agentic workflows, and integrate with LLM APIs.
- Experience with GitOps, Docker, Kubernetes, or equivalent tools.
Artificial Intelligence Consultant employer: Stealth iT Consulting
As a leading employer in the AI consulting space, we offer an innovative work culture that fosters creativity and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and exposure to cutting-edge technologies, all while working in a dynamic environment that values ethical AI practices. Located in a vibrant tech hub, our team enjoys a supportive atmosphere that encourages meaningful contributions and impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your AI projects, especially those involving MLOps frameworks and cloud-native solutions. This will give you an edge when discussing your experience with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI scenarios and case studies. Be ready to discuss how you've implemented ethical AI practices and delivered measurable business outcomes in past roles.
✨Tip Number 4
Don't forget to apply through our website! We have exciting roles waiting for talented individuals like you. Tailor your application to highlight your consulting mindset and experience with AI/ML solutions.
We think you need these skills to ace Artificial Intelligence Consultant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior AI Consultant. Highlight your experience with AI/ML solutions, MLOps frameworks, and any relevant projects that showcase your skills in designing and implementing scalable systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially those related to cloud-native architectures, RAG pipelines, and automation frameworks. We want to see how you can bridge the gap between prototypes and business solutions!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Stealth iT Consulting
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, Machine Learning, and Generative AI. Be ready to discuss specific projects you've worked on, especially those that involved MLOps frameworks or cloud-native solutions. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles. Think of examples where you bridged the gap between prototypes and business solutions. Highlight your ability to translate complex technical requirements into actionable plans that deliver measurable business outcomes.
✨Engage with Stakeholders
Since this role involves influencing both technical and non-technical stakeholders, practice how you'll communicate your ideas clearly. Be ready to explain your thought process and how you ensure that AI solutions align with business goals. This will demonstrate your consulting mindset.
✨Be Ethical and Responsible
Familiarise yourself with ethical AI practices and be prepared to discuss how you embed safety and evaluation mechanisms in your work. Companies are looking for candidates who prioritise responsible AI, so showing your commitment to these principles can set you apart.
