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For Companies At a Glance
- Tasks: Lead AI transformation for enterprises, architecting innovative solutions and driving measurable business outcomes.
- Company: Dynamic tech consultancy at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a collaborative environment that values creativity and strategic thinking.
- Why this job: Shape the future of AI while working with top-tier clients and industry leaders.
- Qualifications: 15+ years in tech consulting, with hands-on AI/ML experience and strong leadership skills.
The predicted salary is between 100000 - 130000 £ per year.
Location: London, United Kingdom (Hybrid)
Role Overview
We are seeking a Senior Agentic & Generative AI Consultant who is a recognized thought leader and hands-on practitioner in modern AI systems. This individual will play a pivotal role in shaping AI-led transformation for enterprise clients, leading complex deals, architecting solutions, and translating cutting-edge AI capabilities into measurable business outcomes. This role requires a rare combination of deep technical expertise, strategic thinking, and client-facing leadership. The successful candidate will work closely with business leaders, architects, and delivery teams to design and deliver agentic, generative, and enterprise-scale AI solutions, while also influencing AI strategy and go-to-market motions.
Key Responsibilities
- AI Strategy & Thought Leadership
- Act as a senior thought leader in Agentic AI and Generative AI, shaping client conversations, executive briefings, and AI transformation roadmaps
- Advise C-suite and senior stakeholders on AI strategy, operating models, governance, and responsible AI adoption
- Contribute to internal AI points of view, reference architectures, accelerators, and best practices
- Stay ahead of industry trends in agentic systems, foundation models, orchestration frameworks, and enterprise AI platforms
- Deal Leadership & Solutioning
- Lead AI-led deal pursuits, including opportunity shaping, solution design, estimations, and executive presentations
- Own the end-to-end solution architecture for complex AI engagements, from discovery through implementation
- Partner with sales, industry leaders, and delivery teams to craft compelling AI value propositions and business cases
- Act as a trusted advisor during client evaluations, PoCs, and pilots
- Hands-on Technical Leadership
- Design and guide the implementation of Agentic AI systems, including:
- Multi-agent architectures
- Tool using and reasoning agents
- Human-in-the-loop workflows
- Orchestration and memory patterns
- Lead solution design using Generative AI and LLM ecosystems, including:
- Prompt engineering and prompt pipelines
- RAG (Retrieval Augmented Generation) architectures
- Model fine-tuning and evaluation strategies
- Design AI solutions that integrate with enterprise systems (e.g., ERP, CRM, digital platforms, data platforms)
- Ensure solutions align with security, compliance, data privacy, and responsible AI principles
- Define AI operating models covering lifecycle management, monitoring, cost optimization, and scalability
Required Skills & Experience
- Core Experience
- 15+ years of experience in technology consulting, digital transformation, or advanced analytics
- 5+ years of hands-on experience in AI / ML, with strong recent focus on Generative AI and Agentic AI
- Proven experience leading complex enterprise deals and large-scale solutioning efforts
- Technical Expertise
- Strong hands-on experience with:
- Large Language Models (LLMs) and GenAI platforms
- Agentic frameworks and orchestration patterns
- RAG pipelines, vector databases, and embeddings
- Experience across major AI ecosystems (e.g., cloud AI platforms, open source LLM tooling)
- Solid understanding of data engineering, APIs, and enterprise integration patterns
- Strong client-facing presence, capable of leading executive-level discussions
- Ability to translate complex AI concepts into clear business value narratives
- Experience mentoring senior architects, engineers, and consultants
- Comfortable operating in ambiguous, fast-evolving AI landscapes
- Experience with enterprise platforms (e.g., ERP, digital experience platforms, CRM, or industry-specific systems)
- Exposure to regulated industries (financial services, healthcare, public sector, etc.)
- Publications, speaking engagements, or visible contributions to the AI community
- Experience shaping AI Centers of Excellence (CoEs) or enterprise AI operating models
What We Offer
- Opportunity to shape and lead AI transformation for global enterprises
- Work at the forefront of Agentic and Generative AI innovation
- High impact role with visibility across senior leadership and marquee clients
- Competitive compensation and benefits
- Flexible working model based in London
Agentic AI architect in London employer: Nityo Infotech
Contact Detail:
Nityo Infotech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI architect in London
✨Tip Number 1
Network like a pro! Get out there and connect with industry leaders, attend AI meetups, and join online forums. The more people you know in the field, the better your chances of landing that dream role.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your projects, especially those involving Agentic and Generative AI. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding the latest trends in AI. Be ready to discuss how you can contribute to AI strategy and transformation for potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help shape the future of AI. Your next big opportunity could be just a click away!
We think you need these skills to ace Agentic AI architect in London
Some tips for your application 🫡
Show Your Expertise: Make sure to highlight your deep technical expertise in AI and your experience with generative and agentic systems. We want to see how you've shaped AI strategies and delivered solutions that drive real business outcomes.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their background to what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and concise. Use straightforward language to explain complex AI concepts and how they translate into business value. We appreciate clarity and directness!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people. Don’t miss out!
How to prepare for a job interview at Nityo Infotech
✨Know Your AI Stuff
Make sure you brush up on the latest trends in Agentic and Generative AI. Be ready to discuss specific technologies, frameworks, and your hands-on experience with them. This role is all about deep technical expertise, so show that you’re not just a theorist but someone who can get their hands dirty.
✨Showcase Your Leadership Skills
Prepare examples of how you've led complex deals or projects in the past. Highlight your ability to influence stakeholders and drive AI strategy. This role requires strong client-facing skills, so be ready to demonstrate how you've successfully navigated executive-level discussions.
✨Craft Compelling Value Propositions
Think about how you can translate complex AI concepts into clear business value narratives. Prepare to discuss how you've crafted compelling AI solutions that align with business goals. This will show that you understand not just the tech, but also how it impacts the bottom line.
✨Be Ready for Technical Challenges
Expect some technical questions or case studies during the interview. Brush up on your knowledge of multi-agent architectures, prompt engineering, and RAG pipelines. Being able to walk through your thought process on these topics will demonstrate your hands-on technical leadership.