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For Companies At a Glance
- Tasks: Lead the design and delivery of innovative AI services and solutions.
- Company: Join AMS, a global leader in talent outsourcing and consulting.
- Benefits: Enjoy flexible working, full training, and a competitive rewards package.
- Why this job: Make a real impact in AI while working in a vibrant, inclusive culture.
- Qualifications: Proficient in C#, .NET, and AI/ML technologies; experience with Azure is a plus.
- Other info: We value diverse perspectives and offer support for all applicants.
The predicted salary is between 43200 - 72000 £ per year.
About Us
Career Level: 4
Location: UK Hybrid, London (ad-hoc)
Working Hours/Shifts: Full Time, 37.5 hours/week
Employment Type: Permanent
Join our World of Talent.
Global, culturally diverse, inclusive, and innovative – welcome to AMS, where talent is our world. Over the last two decades, AMS has redefined the landscape of talent outsourcing and consulting. From pioneering the concept of RPO to continually revolutionising how organisations approach talent acquisition, AMS stands as a world leader in the industry.
Committed, engaged, and inspired, we feel a real sense of belonging, and all have one thing in common: a real passion for talent. Become part of this world and make a difference with us.
The Role
The AI Technical Lead plays a pivotal role in shaping AMS\’s AI Services capabilities, including modular service endpoints, intelligent agents, and our AI orchestration platform. This role is central to delivering AMS\’s digital strategy by providing technical leadership and implementation expertise across both customer-facing and internal AI solutions.
You will report to the Head of AI Strategy and Services.
Key Accountabilities
What you\’ll be doing:
Performance Outcomes / Accountabilities
- Design & delivery of AI services and orchestration components on time and to specification
- Demonstrated impact on AI platform scalability and reusability
- Positive feedback from collaborating teams on technical leadership and support
- Contribution to AI architecture standards and documentation
- Measurable improvements in AI service performance, latency, or user satisfaction
- Lead the design and technical delivery of modular, component-based AI services that are scalable, reusable, and aligned with enterprise architecture standards.
- Make timely and well-informed technical decisions that guide the team through ambiguity and ensure consistent progress across AI initiatives.
- Adapt architectural and delivery approaches in response to evolving requirements or constraints, maintaining alignment with strategic outcomes.
- Translate complex technical requirements into clear, actionable plans, enabling shared understanding and effective execution across cross-functional teams.
- Balance speed and quality in solution delivery, making judgement calls that consider broader platform impact and stakeholder expectations.
- Lead resolution of intricate technical challenges, engaging relevant experts and stakeholders to drive consensus and sustainable solutions.
- Drive the evolution of the AI orchestration platform, ensuring seamless integration of services, agents, and third-party APIs.
- Work closely with developers, prompt engineers, and architects from other teams to deliver against AI priorities.
- Provide architectural input and hands-on support to ensure robust, secure, and performant AI solutions.
- Champion best practices in AI engineering, including MLOps, and responsible AI principles.
- Collaborate with data engineering teams to ensure AI services are underpinned by scalable data pipelines and technologies such as knowledge graphs and semantic search.
- Ensure technical documentation is maintained and aligned with governance and compliance requirements.
- Finetune and deploy custom models, implement self-learning systems.
Skills & Experience
You\’ll need to demonstrate:
Technical Skills
Core Development & Platform Expertise
- Proficient in C# and the .NET ecosystem
- Experience developing within the Microsoft Foundry environment and/or leveraging the Azure stack (e.g., Azure Functions, Azure App Services, Azure DevOps, Azure API Management, AI Search)
- Strong understanding of microservices architecture, RESTful APIs, and service orchestration patterns
AI & Machine Learning
- Skilled in fine-tuning, and evaluating models, including LLMs and transformer-based architectures
- Familiarity with prompt engineering, retrieval-augmented generation (RAG), and agent-based AI systems
- Experience building learning systems that adapt over time using feedback loops, telemetry, and reinforcement signals
Data Engineering & Integration
- Understanding of data pipeline architecture, including ETL/ELT processes and real-time data streaming (Databricks, Snowflake a bonus)
- Experience with search technologies and knowledge graph implementation
- Proficient in integrating AI services with structured and unstructured data sources
DevOps & Quality
- Familiar with CI/CD pipelines and automated testing
- Knowledge of MLOps practices for deploying and monitoring AI models in production environments
Nice to haves
- Agile methodology
- Data Brick and Snowflake
- Frameworking exposure (e.g., ML.NET, PyTorch, TensorFlow and model lifecycle management)
Other
Why AMS?
At AMS, we recognise the value of different perspectives and experiences in prompting innovation, sparking creativity, and solving problems.
We come from every walk of life, and our culture is open and inclusive. Our people enjoy flexibility, autonomy, and being trusted to work their way. We offer you career opportunities in every direction you want to explore. It\’s our world but you can do it your way.
We offer:
- Full training and support
- High value and challenging work
- A vibrant, diverse, and collaborative culture
- Flexible working
- A competitive reward and benefits package*
- The opportunity to embark on a recruitment career with one of the world\’s leading recruitment companies
*Details may vary slightly depending on your location, local labour law, etc.
Our culture of inclusion and belonging.
We welcome applications from people of all backgrounds, and all aspects of employment are based on merit, qualifications, and business needs. We do not discriminate based upon age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other applicable legally protected characteristic.
If you require any accommodations or have any accessibility needs, please reach out via email or make a member of our Talent Acquisition team aware at any time.
Hit the Apply now button to get your journey started!
We take pride in being Disability Confident. This helps to ensure that you can be interviewed fairly if you have a disability, long- term health conditions, or are neurodiverse. You will be shortlisted based on minimum criteria for the role and will be offered support and/or adjustments for the recruitment process if you wish.
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AI Technical Lead employer: AMS
Contact Detail:
AMS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Technical Lead
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially focusing on modular service endpoints and orchestration platforms. This knowledge will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI and tech community, particularly those who have experience with C# and the .NET ecosystem. Attend meetups or webinars to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to discuss your experience with microservices architecture and RESTful APIs in detail. Be ready to share specific examples of how you've implemented these technologies in past projects, as this will showcase your technical expertise.
✨Tip Number 4
Research AMS's culture and values thoroughly. Understanding their commitment to diversity and inclusion will allow you to align your responses during interviews, showing that you are a good fit for their team-oriented environment.
We think you need these skills to ace AI Technical Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the AI Technical Lead role. Focus on your proficiency in C# and the .NET ecosystem, as well as any experience with Azure services and microservices architecture.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and talent acquisition. Discuss how your technical leadership can contribute to AMS's digital strategy and mention specific projects or achievements that demonstrate your capabilities.
Showcase Your Technical Skills: Be explicit about your experience with AI and machine learning, particularly in fine-tuning models and working with data pipelines. Mention any familiarity with MLOps practices and how you've implemented them in past roles.
Highlight Collaboration Experience: AMS values collaboration, so include examples of how you've worked with cross-functional teams. Describe situations where you led technical discussions or resolved complex challenges, showcasing your ability to drive consensus and deliver results.
How to prepare for a job interview at AMS
✨Showcase Your Technical Expertise
As an AI Technical Lead, it's crucial to demonstrate your proficiency in C# and the .NET ecosystem. Be prepared to discuss your experience with Azure services and how you've applied microservices architecture in previous projects.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about past challenges you've faced in AI service delivery and how you resolved them, particularly focusing on scalability and performance improvements.
✨Highlight Collaboration Skills
This role involves working closely with cross-functional teams. Share examples of how you've successfully collaborated with developers, data engineers, and other stakeholders to achieve project goals and ensure alignment with strategic outcomes.
✨Demonstrate Your Understanding of Best Practices
Be ready to discuss best practices in AI engineering, including MLOps and responsible AI principles. Show your awareness of the importance of governance and compliance in technical documentation and service delivery.
