At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions in a dynamic team environment.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a culture that values continuous learning and innovation.
- Why this job: Make a real impact by shaping the future of AI across global operations.
- Qualifications: Expertise in AI orchestration, machine learning, and strong technical leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations.
We are establishing an \"Agentic Factory\" - a dedicated, high-velocity delivery team focused on designing, building, and deploying gen AI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems.
The primary goals of the team include
- Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business-specific Use Case solutions.
- Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, gen AI, and Agentic AI.
- Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions.
- Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform.
- Support, govern and enable company-wide adoption of emerging AI technologies.
- Purpose of the role
We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory.
Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution.
Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands-on enough to solve complex engineering bottlenecks; You will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable.
You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation.
Responsibilities
- Technical Leadership & Engineering
- Design
- Agentic
Systems: Design and scale robust, secure, and production-ready multi-agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles.
Drive delivery by designing and building agentic solutions, spanning from piloting to full implementation.
- Define
- Engineering
Excellence: Establish strict coding standards, code review processes, testing frameworks, and evaluation metrics for generative AI applications.
Support and strictly enforce the standards set by the Head of Engineering and Technical Architect.
- Cloud & Platform
Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost-effective model deployment via Vertex AI and containerized environments.
Take ownership of building and maintaining robust LLMOps pipelines.
- AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance.
- AI Safety & Guardrails: Implement robust evaluation frameworks, latency monitoring, and automated guardrails to ensure enterprise-grade safety, security, and compliance.
- Internal AI Enablement & Prompt
Lifecycle: Manage the engineering workflows, CI/CD pipelines, version control, and evaluation frameworks for internal developer-facing AI assets, including prompt libraries and automated testing agents.
- Team Mentorship & Delivery
- Grow the team: Act as a technical mentor to a team of intermediate and junior AI Engineers, fostering a culture of continuous learning, clean code, and agility.
- Pragmatic Delivery: Collaborate with the AI Product Owner and Business Analysts to translate abstract business use cases into structured, achievable technical sprints.
- Drive MVP to
Production: Shift the team's focus from sandboxed proof-of-concepts (Po Cs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition.
- Evolve AI Maturity
- Support the company's evolving AI strategy, providing an expert voice on Use Case identification, platform identification and tool selection.
- Advise the AI portfolio Lead in scaling impact and AI capability across the company, beyond the Group AI Team.
- Stay up to date on market trends, new opportunities, and the changing landscape of AI technologies.
Experience
- AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like Lang Graph, Lang Chain, Auto Gen, or ADK.
- Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natura
- #J-18808-Ljbffr
(AI) Solutions Architect in Crawley employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land (AI) Solutions Architect in Crawley
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We think you need these skills to ace (AI) Solutions Architect in Crawley
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at PVH (Tommy Hilfiger/Calvin Klein).
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at PVH (Tommy Hilfiger/Calvin Klein) and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at PVH (Tommy Hilfiger/Calvin Klein)
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If PVH (Tommy Hilfiger/Calvin Klein) uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
