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- Tasks: Lead the deployment of AI Agents that drive real business impact in a fast-paced environment.
- Company: Global enterprise client at the forefront of AI transformation.
- Benefits: Competitive salary of £120,000 and opportunities for professional growth.
- Why this job: Be a key player in shaping the future of AI technology in a dynamic setting.
- Qualifications: 15+ years in engineering with proven experience in deploying AI Agents.
- Other info: Join a high-stakes initiative with significant career advancement potential.
The predicted salary is between 84000 - 120000 £ per year.
We are representing a global enterprise client currently scaling a high-stakes AI transformation initiative. This is not a role for researchers or experimentalists; we are looking for a heavyweight engineering leader to spearhead the deployment of production-grade AI Agents that deliver measurable business impact.
You will bridge the gap between cutting-edge LLM orchestration and enterprise-scale software engineering, leading internal teams and external partners to deliver high-velocity, high-quality autonomous systems.
Critical RequirementsPlease Note: This is a Senior Hands-on Leadership role. We are only considering candidates who can demonstrate a move beyond LLM "wrappers" or PoCs into the architectural complexity of agentic workflows in live production environments.
- Engineering Tenure: 15+ years of hands-on engineering experience, with a proven track record of delivering complex, distributed systems at scale.
- Agentic Production Experience: Direct experience building and deploying AI Agents with documented business outcomes (not just lab experiments).
- The Ecosystem: Deep expertise in the OpenAI ecosystem, including orchestration, tool calling, evaluation frameworks, and rigorous runtime/cost optimization.
- Multi-Model Mastery: Commercial experience with Anthropic and Azure OpenAI, alongside deep proficiency in at least one agent framework (e.g., LangGraph or AutoGen).
- Integration & Enterprise Architecture: Proven ability to integrate AI agents into the "plumbing" of a large business: APIs, internal toolsets, orchestration platforms, and RPA.
- Leadership & Strategic Skills:
- Matrix Leadership: Experience leading cross-functional teams and external vendors with a focus on consistent quality and delivery velocity.
- Executive Communication: The ability to distill complex technical trade-offs (latency vs. cost, safety vs. autonomy) for CTO/CDAO/CISO-level stakeholders.
- Engineering Rigor: A foundation built on cloud-native architecture, DevSecOps, observability, and robust CI/CD practices.
- High-Stakes Delivery: Comfortable navigating the ambiguity of a fast-paced, high-pressure transformation environment.
Head of Engineering / AI Agents at Scale / £120,000 employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering / AI Agents at Scale / £120,000
✨Tip Number 1
Network like a pro! Reach out to industry contacts, attend relevant meetups, and engage in online forums. The more people you know, the better your chances of landing that dream role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website that highlights your past projects and achievements in AI and engineering. This is your chance to shine and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI deployment and engineering leadership. We recommend doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Head of Engineering / AI Agents at Scale / £120,000
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your 15+ years of hands-on engineering experience. We want to see how you've tackled complex, distributed systems and delivered real business outcomes, not just theoretical projects.
Be Specific About AI Agents: When discussing your experience with AI agents, focus on the production-grade deployments you've led. We’re looking for concrete examples that demonstrate your ability to bridge the gap between cutting-edge tech and practical applications.
Highlight Leadership Skills: This role is all about leadership, so don’t hold back! Share your experiences leading cross-functional teams and managing external vendors. We want to know how you ensure quality and maintain delivery velocity in high-stakes environments.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the OpenAI ecosystem and the specific AI agent frameworks mentioned in the job description. Brush up on your knowledge of orchestration, tool calling, and integration techniques, as you’ll need to demonstrate your expertise in these areas during the interview.
✨Showcase Real-World Impact
Prepare to discuss your past experiences where you've successfully deployed AI agents that delivered measurable business outcomes. Be ready to share specific examples that highlight your ability to move beyond theoretical concepts into practical applications in production environments.
✨Master the Art of Communication
Since you'll be communicating with high-level stakeholders, practice distilling complex technical concepts into clear, concise language. Think about how you can explain trade-offs like latency versus cost in a way that resonates with CTOs or CDOs, showcasing your executive communication skills.
✨Demonstrate Leadership Experience
Be prepared to discuss your experience leading cross-functional teams and managing external vendors. Highlight instances where you ensured quality and delivery velocity, especially in high-pressure situations, to show that you can thrive in a fast-paced transformation environment.
