At a Glance
- Tasks: Design and deploy AI workflows that transform business operations using cutting-edge technology.
- Company: Join Convatec's innovative AI Centre of Excellence with a collaborative culture.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work closely with business teams and enjoy excellent career advancement opportunities.
- Why this job: Make a real impact by turning AI ideas into practical solutions in a dynamic environment.
- Qualifications: 4+ years in software engineering or AI workflow delivery; strong Python and SQL skills required.
The predicted salary is between 70000 - 90000 £ per year.
- Overview
- Position
Overview: As a Forward Deployed AI Engineer within Convatec’s AI Centre of Excellence, you will help turn AI opportunities into practical, production-ready solutions that improve how our business works.
Embedded directly with business teams, you will take ownership of AI-enabled workflows from discovery and design through to build, testing, deployment, monitoring and handover.
This is a senior, hands-on delivery role for someone who can work independently across architecture, integration, Dev Ops, MLOps, AIOps, data engineering and governance.
You will make technical decisions, solve complex integration challenges and ensure AI solutions are reliable, scalable and safe to run in live business environments.
You will work with technologies such as Microsoft Copilot Studio, Microsoft Fabric, Azure Dev Ops, Azure AI Foundry and SAP Joule, helping to design, build and deploy AI workflows that connect into real operational processes across Convatec.
We are looking for someone who is comfortable being the senior technical voice on an initiative: setting standards, guiding others, managing technical risks and ensuring solutions are successfully handed over to the teams who will use and support them.
Responsibilities
- Workflow implementation and engineering: Design, build and deploy AI-enabled workflows using Azure AI Foundry, Microsoft Copilot Studio, Microsoft Fabric and SAP Joule.
This includes agent orchestration, automation triggers, prompt integration, exception handling and reusable delivery patterns.
- API integration and service connectivity: Connect AI workflows to enterprise systems through REST APIs, event streams and Microsoft Fabric data pipelines, ensuring secure and reliable data flows across platforms such as SAP, Salesforce and Convatec’s data lake.
- Technical leadership and standards: Act as the senior technical voice within embedded initiatives, setting engineering standards, guiding Applied AI Engineers and business teams, and making sound architecture and integration decisions within agreed guardrails.
- Testing, validation and quality assurance: Plan and execute functional, regression and edge-case testing, including failure scenarios, fallback paths, escalation triggers and data quality checks.
Assess when workflows are ready for production release.
- Rapid prototyping and feasibility assessment: Build timeboxed prototypes in the AI Landing Zone sandbox to test technical options, demonstrate value and provide clear go/no-go recommendations before full delivery.
- Dev Ops, MLOps and AIOps ownership: Implement and maintain CI/CD, monitor and release pipelines using Azure Dev Ops, including version control, rollback capability, automated testing and production health monitoring.
- Documentation and operational handover: Produce clear technical documentation and handover materials so business and operational teams can maintain, monitor and extend AI workflows after delivery.
- Decision-making authority: Make technical recommendations on workflow architecture, integration patterns, tooling choices, production readiness and handover quality within the scope of each initiative.
Skills & Experience
- Essential: Minimum 4+ years’ experience in software engineering, AI/ML workflow delivery or systems integration, with a demonstrable track record of full-stack delivery in production AI environments.
- Minimum 2+ years’ operating in a senior or lead technical capacity, making independent architectural decisions and guiding other engineers without formal line management authority.
- Hands-on, production-grade experience across Dev Ops, MLOps and AIOps - CI/CD pipeline ownership, model versioning, automated testing and live system monitoring - not as adjacent knowledge but as daily practice.
- Strong proficiency in Python and SQL; solid REST and event-driven API integration experience including enterprise systems such as SAP (via SAP Joule) or Salesforce.
- Hands-on experience with Azure AI Foundry, Microsoft Copilot Studio and Microsoft Fabric in production delivery contexts.
- Demonstrated ability to self-direct across the full delivery lifecycle - from discovery and design through to production deployment and business handover - without close technical supervision.
- Experience working directly with business stakeholders: translating operational requirements into engineering decisions, managing expectations and owning adoption outcomes.
Desirable
- Experience with SAP Joule or integrating agentic AI solutions with SAP business processes.
- Familiarity with AI Landing Zone design patterns, guardrails and governance frameworks.
- Experience with containerization (Docker/Kubernetes) and cloud-native deployment patterns on Azure.
- Understanding of multi-agent coordination patterns using Copilot Studio or Azure AI Foundry.
- Knowledge of healthcare data privacy requirements including GDPR or HIPAA.
- Soft Skills
- Self-directed and comfortable working through ambiguity.
- Technically credible, with the confidence to set standards and challenge approaches where needed.
- Outcome-focused, with strong ownership of delivery quality and production reliability.
- Adaptable, able to work across multiple business areas and changing priorities.
- Clear communicator, able to explain technical decisions in a way that business stakeholders can understand and act on.
Education/Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems or a related field, or equivalent practical experience demonstrated through a strong delivery track record.
Relevant Azure certifications (e. g.
Azure Developer Associate, Azure Data Engineer Associate, Azure Dev Ops Engineer Expert) or MLOps/AIOps are desirable.
Travel & Working Conditions
Travel up to 10% of the time, mostly within Europe. Hybrid working model – 1 day per week on-site at our London office.
Legal and Compliance
Equal opportunities Convatec provides equal employment opportunities for all current employees and applicants for employment.
This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law.
Notice to Agency and Search Firm Representatives Convatec is not accepting unsolicited resumes from agencies and/or search firms for this job posting.
Resumes submitted to any Convatec employee by a third party agency and/or search firm without a valid written and signed search agreement will become the sole property of Convatec.
No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral.
Contact
#J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ConvaTec Inc or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ConvaTec Inc.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ConvaTec Inc.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ConvaTec Inc that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward Deployed AI Engineer in London
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 ConvaTec Inc.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ConvaTec Inc 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 ConvaTec Inc
✨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 ConvaTec Inc 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.
