At a Glance
- Tasks: Lead the development of cutting-edge AI solutions for real-world applications.
- Company: Join a forward-thinking tech company in Manchester with a focus on innovation.
- Benefits: Enjoy a competitive salary, generous pension, and flexible working options.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a significant impact by shaping the future of autonomous AI technology.
- Qualifications: Proficient in Python and TypeScript with strong leadership skills in tech projects.
End Date: Tuesday 21 July 2026
Salary Range: £92,701 - £109,060
Flexible Working: We support flexible working.
Location: Manchester
Hours: Full time
Working Pattern: Hybrid, 40% (or two days) in our Manchester office.
What you'll be doing:
- Develop the next generation of autonomous AI for colleagues and customers, focusing on safety, security and scalability.
- Lead multiple engineering teams to design, build and run AI agents on Google Cloud, blending open‑source tools with GCP native services.
- Define strategy and technical direction with Engineering, Product and Architecture teams, establishing standards, patterns and quality expectations.
- Design, build and operate AI agents using Vertex AI, Cloud Run, GKE, BigQuery and IAM, integrating securely with enterprise systems and following modern engineering practices such as CI/CD, automated testing, SRE and observability.
- Oversee the full solution lifecycle, ensuring platforms are secure, compliant, resilient and cost‑effective through guardrails, model evaluation, FinOps and effective security controls.
- Drive engineering excellence by developing reusable components, leading vendor engagements, simplifying infrastructure and influencing senior stakeholders.
What we're looking for:
- Proficiency in Python and TypeScript with experience delivering production services (APIs, event‑driven systems, microservices), ideally on GCP.
- Proven technical leadership of large, multi‑team deliveries – setting strategy, making architectural decisions and enabling teams to deliver at pace.
- Hands‑on experience with agentic AI: building LLM‑powered applications/agents, tool use, orchestration, retrieval (RAG), prompt and safety engineering, evaluation and telemetry.
- Proficient knowledge of cloud‑native engineering: containers (GKE/Cloud Run), Terraform/IaC, CI/CD, automated quality assurance, observability, performance optimisation and incident management.
- Solid knowledge of security, privacy and compliance in regulated environments, and confidence working with Risk, Security and Legal teams.
- Excellent communication and stakeholder engagement skills, simplifying complex concepts into clear, outcome‑focused narratives.
Additional experience would be great:
- Experience with Vertex AI Agent Builder/Agentspace, LangGraph, multi‑agent patterns or agent‑to‑agent protocols.
- Knowledge of data governance and model risk practices in financial services.
- Exposure to Azure/AWS or cross‑cloud patterns.
- Experience building communities of practice and engineering guilds.
Inclusive Workforce:
We support diversity, equity and inclusion, offering reasonable workplace adjustments for colleagues with disabilities, long‑term health conditions or neurodivergent conditions. As a Disability Confident Leader we guarantee a fair interview process under the Disability Confident Scheme.
Benefits:
- Generous pension contribution of up to 15%
- Annual performance‑related bonus
- Discounted shopping and other lifestyle‑adaptable benefits
AI Engineer - (Grade "F") in Manchester 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 Engineer - (Grade "F") in Manchester
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We think you need these skills to ace AI Engineer - (Grade "F") in Manchester
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).
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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.