Agentic Collective - AI Consultancy, Products & Automation
Agentic Technical Lead

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Company Description
Agentic Collective is an AI consultancy focused on turning executive-level AI ambition into tangible cost reductions and measurable revenue impact. We partner with CEOs, executive teams, and Family Offices to design and implement AI solutions that avoid wasted investment, vendor lock-in, and unmanaged risk. Our work spans strategy, product, and automation, ensuring that AI initiatives are directly aligned with business outcomes. As a growing collective, we offer opportunities to work on high-impact projects with decision-makers who are committed to responsible, results-driven AI adoption.
Role Description
The Agentic Technical Lead will guide the technical design and delivery of AI-driven solutions for clients, working on-site in London in close collaboration with consulting and product teams. This contract role involves translating business goals into technical architectures, selecting appropriate AI tools and frameworks, and overseeing implementation to ensure scalability, reliability, and security.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Day-to-day work includes:


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- Leading technical discovery sessions
- Mentoring engineering contributors
- Reviewing code and solution designs
- Coordinating with stakeholders to manage risk, timelines, and technical dependencies
The Technical Lead will also help establish best practices, contribute to reusable solution patterns, and continuously evaluate emerging AI technologies that can enhance client outcomes.
Qualifications
- Strong expertise in AI/ML solution design and architecture, including experience with modern AI frameworks, APIs, and model lifecycle management.
- Proficiency in software engineering practices and cloud-native development (e.g., microservices, RESTful APIs, CI/CD, version control).
- Experience leading technical teams or projects, with the ability to mentor engineers and coordinate across multidisciplinary stakeholders.
- Ability to translate complex business requirements into clear technical roadmaps, solution designs, and implementation plans.
- Comfort working directly with senior executives and non-technical partners, with strong communication and presentation skills.
- Background in risk management, security, and compliance considerations for data-intensive and AI-powered systems.
- Experience working in consultancy, product development, or automation-focused environments; exposure to cost optimization and ROI analysis is beneficial.
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related technical field; advanced degrees are an advantage but not required.
- Ability to work on-site in London for the duration of the contract and manage multiple client engagements in a fast-paced setting.
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