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Agentic Forward Deployed Engineer (Associate Director) – Architect

London
Posted about 18 hours ago
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Employment type: Permanent

Location: London/Kubrick HQ (QVS). Client engagements predominantly London & Southeast. (May require client site visits)

The Opportunity:

We're looking for an experienced Agentic Forward Deployed Engineer to help our clients turn the potential of agentic AI into real-world business impact. Working at the intersection of AI engineering, solution architecture and consulting, you'll take complex customer challenges from initial idea through to production - designing and deploying agentic AI solutions that deliver measurable value.

About Kubrick:

Kubrick is an award-winning AI consultancy helping organizations turn AI ambition into measurable, real-world impact. We design, build and scale solutions that solve complex business challenges and deliver lasting value.

We work with leading organizations across industries including financial services, healthcare, retail, energy, aviation, and the public sector, and partner with some of the world’s leading technology providers, including Microsoft, Snowflake, Databricks, and Collibra.

What sets us apart is how we build capabilities and careers alongside the solutions we deliver. Through continuous learning, hands-on experience, and a collaborative culture, our people develop deep expertise while solving complex, real-world challenges for our clients.

The Role:

As an Agentic Forward Deployed Engineer (Agentic FDE) at Kubrick, you'll work directly with customers to identify where agentic AI can create genuine business value - then design it, build it, deploy it and make it work in the real world.

The role sits at the intersection of AI engineering, solution architecture, consulting and product thinking, taking ideas from an initial customer conversation all the way through to production. You'll do it alongside some of the best technology and specialist capability in the market, including Anthropic Claude, Microsoft Foundry, Copilot Studio, Azure, Databricks and Snowflake.

The role requires someone who can move comfortably between a customer boardroom, a whiteboard architecture session and a development environment.

Your work will include:

  • Working with customers to uncover high-value opportunities for agentic AI, from intelligent automation and knowledge work to decision support and complex operational workflows
  • Turning ambiguous business problems into practical, measurable AI solutions
  • Designing agentic architectures covering agents, tools, models, data, orchestration, human oversight and evaluation
  • Rapidly prototyping and iterating solutions with real users
  • Building and deploying production-grade agentic AI solutions
  • Integrating agents with enterprise data, APIs, applications, workflows and identity systems
  • Ensuring solutions are secure, governed, observable, reliable and cost-effective
  • Establishing evaluation, testing and monitoring approaches so customers can understand how their AI is performing
  • Leading technical workshops and communicating complex ideas to everyone from engineers to senior executives
  • Supporting pre-sales - shaping opportunities, developing technical propositions, contributing to demos and helping customers understand what's possible
  • Creating reusable patterns and accelerators that make the next AI solution faster and better

Reasons to use Rodeo

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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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.

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Strong

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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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Technical Leadership:

  • Demonstrable experience providing technical leadership for engineering teams on AI-oriented projects, ideally in a consultancy environment
  • Ability to communicate technical concepts to non-technical audiences and influence decision-making at senior levels
  • Strong understanding of regulatory, ethical, accuracy and security considerations for developing autonomous agentic systems
  • (Desirable) Degree, Masters or Doctorate in Software Engineering, Computer Science or ML/AI related subject
  • Strong software engineering and solution-development skills, with the ability to build, test, debug, integrate, and operate production services
  • Hands-on experience designing AI, data, cloud, automation, or enterprise application solutions
  • Ability to work across APIs, data platforms, databases, identity, cloud infrastructure, and enterprise integration patterns
  • Understanding of agentic AI concepts, including orchestration, tool use, retrieval, memory, planning, multi-agent patterns, human oversight, and evaluation
  • Ability to translate between business outcomes and technical implementation choices
  • Strong stakeholder engagement, workshop facilitation, communication, and technical storytelling skills
  • Comfort operating in ambiguous environments, prioritising effectively, and taking ownership from discovery through deployment
  • Awareness of enterprise security, data governance, responsible AI, privacy, and compliance requirements

Benefits:

A fast moving and fast growth business which is doing something seriously innovative and valuable. We already have a very supportive, diverse and appreciative client base, giving us stable foundations enabling us to keep working to high standards as we continue to grow. We also offer:

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  • Enhanced paid maternity, paternity and adoption leave, above the statutory minimum, with shared parental leave options
  • Additional family leave support, including up to 18 weeks parental leave, 5 days dependent care leave, paid fertility treatment leave, and up to 3 weeks paid parental bereavement leave
  • 25 days' annual leave plus 8 bank holidays
  • Flexible working options, including flexible start and finish times and part-time arrangements, available upon request
  • Hybrid working, with employees typically spending 2–3 days per week in our London office alongside client meetings and remote working
  • Pension contributions matched up to 5%
  • Unlimited mental health support through Help@Hand, available 24/7 for you and eligible family members
  • Financial wellbeing support
  • Cycle to Work scheme, saving you up to 43% on a new bike through Evans Cycles
  • Specsavers eye care vouchers
  • Internal mobility and career development opportunities
  • Recognition and reward programs
  • Learning and development opportunities, including professional certifications
  • Employee Assistance Program (EAP)
  • Mental health, diversity and inclusion support

Diversity & Inclusion:

At Kubrick, we not only strive to bridge the skills-gap in data and technology, but we are also committed to playing a key role in improving diversity in the industry. To that effect, we welcome candidates from all backgrounds and particularly encourage applications from groups currently underrepresented in the industry, including women, those from ethnic minority backgrounds, members of the LGBTQ+ community, disabled people and those who are neurodivergent.

We know that potential applicants are sometimes put off if they don’t meet 100% of the requirements. We think individual experience, skills and passion make all the difference, so if you meet a good proportion of the criteria, we’d love to hear from you.

We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.

Women in Data® advertise roles on behalf of our partners, alliances, and members. We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

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Skills

Agentic AI
Solution Architecture
AI Engineering
Consulting
Python
Prompt Engineering
LLM Orchestration
Enterprise Integration
Stakeholder Management
Technical Leadership
Rapid Prototyping
API Integration
Cloud Infrastructure
Data Governance
Responsible AI
Technical Storytelling

Location

London, England, United Kingdom

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