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For Companies At a Glance
- Tasks: Lead the design and delivery of cutting-edge GenAI solutions for real-world applications.
- Company: Join a forward-thinking company at the forefront of AI technology and digital transformation.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving innovation and making a tangible impact in the AI space.
- Qualifications: Proven experience with GenAI systems, LLMs, and cloud platforms is essential.
- Other info: We prioritise inclusivity in our hiring process, ensuring diverse perspectives.
The predicted salary is between 48000 - 84000 £ per year.
Key Responsibilities
- Lead the design and delivery of production-grade GenAI solutions using LLMs, RAG, and vector search, optimising prompts, context, and retrieval for accuracy and performance.
- Architect and implement GenAI services integrated with enterprise systems and cloud platforms, ensuring scalability, security, and maintainability.
- Own the delivery of GenAI applications such as internal support assistants, case handling tools, and commercial automation services.
- Deliver solutions from proof-of-concept to production, focused on measurable business value while meeting compliance and performance standards.
- Collaborate with cross-functional teams to embed GenAI into operational and commercial workflows as part of wider digital transformation efforts.
- Lead technical workshops and enablement sessions to support internal adoption of GenAI tools and practices.
- Evaluate GenAI APIs, frameworks, and vendors, advising on architecture, integration strategy, and build-vs-buy decisions.
- Implement monitoring and evaluation processes to ensure solution quality, reliability, and continuous improvement.
- Partner with security and governance teams to ensure responsible, compliant deployment of GenAI technologies.
Skills & Experience
Essential
- Proven experience leading the development and deployment of GenAI systems in enterprise environments.
- Deep hands-on expertise with LLMs, RAG architectures, vector databases, and orchestration frameworks (e.g. LangChain).
- Strong understanding of prompt design, context management, and GenAI-specific risks such as hallucination and data exposure.
- Experience integrating GenAI solutions with enterprise systems and cloud platforms (AWS, Azure, or GCP).
- Proven ability to work independently and collaboratively across technical and business teams to deliver outcomes with clear business impact.
- Excellent communication and stakeholder engagement skills, particularly in cross-functional environments.
Desirable
- Background in software engineering, ML engineering, or AI solution architecture.
- Familiarity with CI/CD, observability, and MLOps practices that support scalable GenAI deployment.
- Experience working in large-scale or regulated enterprise settings.
- Proven track record delivering GenAI solutions across knowledge assistants, customer support, commercial automation, and engineering tools.
- Understanding of evaluation methods for GenAI in production environments, including user feedback loops, latency tracking, and quality scoring.
- Exposure to advanced GenAI orchestration patterns and frameworks such as tool use, memory management, agentic workflows, or Model Context Protocol.
We work with Textio to make our job design and hiring inclusive.
Permanent #J-18808-Ljbffr
Gen AI Solutions Lead employer: New Day
Contact Detail:
New Day Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Solutions Lead
✨Tip Number 1
Familiarise yourself with the latest advancements in GenAI technologies, particularly LLMs and RAG architectures. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the GenAI field through platforms like LinkedIn or relevant tech meetups. Building connections can provide insights into the company culture and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented GenAI solutions. Be ready to explain your approach to prompt design, context management, and how you tackled challenges like data exposure or hallucination.
✨Tip Number 4
Showcase your ability to collaborate across teams by sharing examples of how you've worked with both technical and business stakeholders. Highlighting your communication skills will demonstrate that you're a good fit for cross-functional environments.
We think you need these skills to ace Gen AI Solutions Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GenAI systems, LLMs, and vector databases. Use specific examples that demonstrate your ability to lead projects from proof-of-concept to production.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about GenAI solutions and how your skills align with the responsibilities outlined in the job description. Mention any relevant projects or achievements that showcase your expertise.
Showcase Technical Skills: Clearly outline your technical skills related to GenAI, including your experience with cloud platforms like AWS, Azure, or GCP. Highlight your understanding of prompt design and context management, as these are crucial for the role.
Prepare for Interviews: Anticipate questions related to your experience with GenAI technologies and your approach to integrating them into enterprise systems. Be ready to discuss your collaboration with cross-functional teams and how you've delivered measurable business value in past roles.
How to prepare for a job interview at New Day
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with LLMs, RAG architectures, and vector databases. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to lead GenAI solutions.
✨Understand the Business Impact
During the interview, emphasise how your previous GenAI projects have delivered measurable business value. Be ready to share examples of how you've collaborated with cross-functional teams to integrate GenAI into operational workflows.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in a way that non-technical stakeholders can understand. This will show your ability to engage effectively across different teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in deploying GenAI solutions and how you overcame them, particularly regarding compliance and performance standards.
