Lead Agentic Architect in London

Lead Agentic Architect in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Artificial Intelligence

At a Glance

  • Tasks: Lead the design and implementation of advanced Agentic AI solutions for business efficiency.
  • Company: Join iOPEX Technologies, a dynamic team pushing the boundaries of AI innovation.
  • Benefits: Competitive salary, comprehensive health plans, generous paid time off, and flexible work options.
  • Other info: Access to continuous learning, mentorship, and global career opportunities.
  • Why this job: Shape the future of enterprise automation with cutting-edge AI technologies.
  • Qualifications: Expertise in Agentic AI, LLMs, and scalable AI solutions required.

The predicted salary is between 80000 - 100000 £ per year.

We are seeking an innovative Lead Agentic Architect to spearhead the design and implementation of advanced Agentic AI solutions tailored for our existing business streams. This role demands a visionary leader who can architect robust, scalable, and intelligent autonomous agents capable of enhancing operational efficiency and driving strategic initiatives within established workflows.

About the Team

The Artificial Intelligence department at iOPEX Technologies is a dynamic and forward-thinking team dedicated to leveraging cutting-edge AI to solve complex business challenges and drive innovation across our service offerings. We foster a collaborative environment where creativity and technical excellence are paramount.

Responsibilities

  • Lead the architectural design, development, and deployment of Agentic AI systems, ensuring seamless integration with existing enterprise applications and data streams.
  • Define technical strategies and roadmaps for the evolution of our Agentic AI capabilities, aligning with business objectives and industry best practices.
  • Provide technical leadership and mentorship to a team of AI engineers and researchers, fostering a culture of innovation and continuous improvement.
  • Evaluate and select appropriate AI frameworks, tools, and platforms, with a strong emphasis on capabilities for autonomous agents and intelligent decision-making.
  • Collaborate with product managers, data scientists, and business stakeholders to translate complex requirements into scalable and high-performance Agentic AI architectures.
  • Design and implement robust monitoring, evaluation, and feedback mechanisms for deployed agentic systems to ensure optimal performance and continuous learning.
  • Stay abreast of the latest advancements in Agentic AI, Large Language Models (LLMs), reinforcement learning, and autonomous systems, integrating relevant innovations.
  • Champion best practices for AI ethics, governance, and responsible deployment, ensuring solutions are transparent, fair, and secure.

Qualifications

  • Deep expertise in Agentic AI architectures, multi-agent systems, autonomous decision-making, and intelligent workflow automation.
  • Extensive experience with Large Language Models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into agentic frameworks.
  • Proven track record in designing and implementing scalable, fault-tolerant AI solutions on major cloud platforms (AWS, Azure, GCP).
  • Strong proficiency in programming languages such as Python, with experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex).
  • Solid understanding of distributed systems, microservices architectures, containerization (Docker, Kubernetes), and MLOps principles.
  • Demonstrated ability to architect solutions that integrate with diverse existing enterprise data sources and legacy systems.
  • Exceptional analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Experience leading complex technical projects, managing cross-functional teams, and influencing strategic technical decisions.
  • Familiarity with data governance, security, and compliance requirements in enterprise AI deployments.

Opportunities

  • Opportunity to lead cutting-edge Agentic AI initiatives that redefine enterprise automation and intelligence.
  • Access to a comprehensive learning and development budget, including conferences, certifications, and advanced AI training.
  • Mentorship opportunities with industry leaders and a collaborative environment that fosters innovation.
  • Career growth path into executive AI leadership or specialized principal architect roles within iOPEX.

Benefits & Perks

  • Highly competitive salary package commensurate with experience and leadership responsibilities.
  • Comprehensive health, dental, and vision insurance plans for you and your family.
  • Generous paid time off, including vacation, sick leave, and company holidays.

Company Benefits

  • Access to iOPEX Academy for continuous upskilling and certifications.
  • Global career opportunities across 10+ delivery centers worldwide.
  • Mentorship programs with industry leaders and domain experts.
  • Innovation labs and hackathons to explore emerging technologies.
  • Diversity, equity, and inclusion initiatives with employee resource groups.
  • Annual rewards and recognition programs celebrating excellence.
  • Work-life harmony through flexible scheduling and hybrid work models.
  • Community engagement through CSR programs and volunteering opportunities.

Equal Opportunity Employer

iOPEX is an equal-opportunity employer committed to a diverse and inclusive workplace. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception, or identity, national origin, age, marital status, protected veteran status, or disability status.

Lead Agentic Architect in London employer: Artificial Intelligence

At iOPEX Technologies, we pride ourselves on being an exceptional employer that champions innovation and collaboration within our Artificial Intelligence department. As a Lead Agentic Architect, you will have the opportunity to lead transformative AI initiatives while benefiting from a comprehensive learning budget, mentorship from industry leaders, and a culture that prioritises work-life harmony and diversity. Join us in redefining enterprise automation and enjoy a competitive salary, generous benefits, and a clear path for career advancement in a dynamic global environment.

Artificial Intelligence

Contact Details:

Artificial Intelligence Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Agentic Architect in London

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Lead Agentic Architect in London

Agentic AI Architectures
Multi-Agent Systems
Autonomous Decision-Making
Intelligent Workflow Automation
Large Language Models (LLMs)
Prompt Engineering
Cloud Platforms (AWS, Azure, GCP)

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 Artificial Intelligence.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Artificial Intelligence 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 Artificial Intelligence

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 Artificial Intelligence 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.