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For Companies At a Glance
- Tasks: Design and implement innovative generative AI solutions for real-world impact.
- Company: Join Element, a fast-growing leader in testing and certification.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and drive meaningful change.
- Qualifications: 5+ years in AI consulting with strong technical and strategic skills.
- Other info: Collaborative environment with a mission to make tomorrow safer.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for an Applied Generative AI Consultant to design, implement, and optimise Element applied generative AI solutions. This role requires a blend of technical expertise, strategic thinking, and business acumen to help organisations leverage AI for measurable impact. You will guide users through the full lifecycle—from ideation and proof-of-concept to deployment and scaling—ensuring solutions are ethical, secure, and aligned with industry best practices.
Core Responsibilities
- User Advisory & Strategy: Assess business needs and identify opportunities for generative AI adoption. Conduct discovery sessions with users to understand business challenges and identify AI opportunities. Develop AI roadmaps and solution architectures tailored to business objectives. Contribute to internal research initiatives and publish findings on emerging generative AI trends.
- Solution Design & Implementation: Architect end-to-end generative AI solutions, including model selection, data pipelines, and deployment frameworks. Oversee proof-of-concept development and validate technical feasibility before scaling. Recommend and configure generative AI models (LLMs, multimodal systems) for specific use cases. Oversee integration of AI capabilities into business workflows and platforms. Recommend on technology stack selection and integration strategies for generative AI solutions.
- Technical Leadership: Provide guidance on data preparation, model fine-tuning, and deployment strategies. Advise on MLOps, cloud infrastructure, and scalability considerations. Mentor junior engineers and share best practices across teams.
- Governance & Compliance: Ensure adherence to ethical AI principles, data privacy regulations, and security standards. Conduct risk assessments and implement mitigation strategies for AI systems. Support users in selecting cloud platforms and optimizing cost-performance trade-offs.
- Training & Enablement: Design and deliver workshops to educate teams on generative AI fundamentals and advanced techniques. Create documentation, playbooks, and knowledge repositories for ongoing support. Act as a trusted advisor for continuous improvement and innovation in AI adoption.
Skills / Qualifications
- Experience in industry-specific AI applications (finance, healthcare, retail, etc.).
- Knowledge of AI governance frameworks and regulatory compliance.
- Business & Strategy Alignment: Ability to translate technical AI concepts into actionable business strategies and ROI models.
- Industry Knowledge: Deep understanding of regulatory frameworks and compliance standards in sectors like finance, healthcare, or government.
- Change Management: Experience in guiding organizations through AI adoption and digital transformation.
- Vendor & Tool Evaluation: Familiarity with leading AI platforms and ability to recommend best-fit solutions for the users.
- Ethical AI & Governance: Expertise in bias mitigation, responsible AI practices, and risk management frameworks.
- Training & Enablement: Ability to design and deliver executive-level workshops and technical training programs.
- Stakeholder Communication: Strong presentation and negotiation skills for C-suite and technical audiences.
- Emerging Tech Awareness: Knowledge of trends in generative AI, multimodal systems, and AI-driven automation.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
- 5+ years of experience in AI consulting, solution architecture, or applied machine learning.
- Strong understanding of generative AI models, prompt engineering, and RAG pipelines.
- Familiarity with cloud platforms (AWS, Azure etc.) and enterprise integration patterns.
- Excellent communication and stakeholder management skills.
Company Overview
Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today’.
Applied Generative AI Engineer employer: Element Materials Technology
Contact Detail:
Element Materials Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Generative AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your generative AI projects. Whether it's a proof-of-concept or a full deployment, having tangible examples will make you stand out during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions related to generative AI and practice your responses. Be ready to discuss how you've tackled challenges in previous roles and how you can bring value to the team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission to make tomorrow safer than today.
We think you need these skills to ace Applied Generative AI Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Applied Generative AI Engineer role. Highlight your relevant experience in AI consulting and solution architecture, and don’t forget to mention any specific projects that align with our needs!
Showcase Your Technical Skills: We want to see your technical expertise shine! Include details about your experience with generative AI models, cloud platforms, and any relevant tools you've used. This is your chance to impress us with your knowledge!
Demonstrate Business Acumen: Remember, this role isn’t just about tech; it’s about making an impact! Share examples of how you’ve translated AI concepts into actionable business strategies or helped organisations through AI adoption. We love seeing that blend of tech and strategy!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Element!
How to prepare for a job interview at Element Materials Technology
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and technologies in generative AI. Be prepared to discuss specific models, like LLMs and multimodal systems, and how they can be applied to real-world business challenges. This shows that you're not just familiar with the theory but can also translate it into practical solutions.
✨Showcase Your Strategic Thinking
During the interview, highlight your ability to assess business needs and identify opportunities for AI adoption. Prepare examples of how you've developed AI roadmaps or solution architectures in previous roles. This will demonstrate your strategic mindset and your capability to align technical solutions with business objectives.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data pipelines, model fine-tuning, and deployment strategies. Brush up on MLOps and cloud infrastructure, as these are crucial for the role. Being able to articulate your thought process and decision-making will impress the interviewers.
✨Emphasise Ethical AI Practices
Given the importance of ethical AI, be ready to discuss how you ensure compliance with data privacy regulations and security standards. Share any experiences you have with risk assessments and bias mitigation strategies. This will show that you take governance seriously and understand the broader implications of AI solutions.
