At a Glance
- Tasks: Lead AI transformation for enterprises and design innovative AI solutions.
- Company: Dynamic tech consultancy at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working, and high-impact role with senior visibility.
- Other info: Opportunity to influence AI strategy and work in a hybrid environment.
- Why this job: Shape the future of AI while working with top-tier clients and leaders.
- Qualifications: 15+ years in tech consulting, 5+ years in AI/ML, strong leadership skills.
The predicted salary is between 72000 - 108000 £ per year.
Location: London, United Kingdom (Hybrid)
Fixed term contract or permanent position
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
- Provide technical oversight and mentoring to engineering and data science teams.
- Enterprise AI Delivery & Governance
- 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
- Consulting & Leadership Skills
- 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
- Nice to Have
- 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 Centres 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
Senior Agentic & Generative AI Consultant employer: DCV Technologies
As a Senior Agentic & Generative AI Consultant, you will join a forward-thinking company that prioritises innovation and employee development in the heart of London. With a flexible hybrid working model, competitive compensation, and a culture that fosters collaboration and thought leadership, this role offers a unique opportunity to influence AI strategy for global enterprises while working alongside industry leaders. The company is committed to your growth, providing access to cutting-edge resources and a platform to shape the future of AI.
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We think this is how you could land Senior Agentic & Generative AI Consultant
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We think you need these skills to ace Senior Agentic & Generative AI Consultant
Some tips for your application 🫡
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
