Forward Deployed AI Engineer

Now Resourcing

Greater London

On-site

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

Now Resourcing partners with a fast-growing enterprise AI and automation consultancy to recruit a Forward Deployed AI Engineer who will work directly with customers deploying agentic AI workflows and intelligent automation across enterprise ecosystems, including ServiceNow.

This hands-on, client-facing role sits at the intersection of full-stack development, AI implementation and solution delivery, turning business problems into AI-driven solutions and helping shape our client's AI platform.

Qualifications

  • 5-8+ years in software engineering, systems integration or automation, ideally with client-facing delivery experience.
  • Hands-on experience with AI/LLM technologies or AI-powered applications.
  • Comfortable working across AWS, Azure or GCP.
  • Confident communicating technical trade-offs to engineers and business stakeholders.

Responsibilities

  • Deploying and configuring agentic AI workflows and automations in live client environments.
  • Building demos, prototypes and PoCs to validate AI-driven use cases with customers.
  • Developing integrations between ServiceNow, enterprise systems, APIs and AI services.
  • Working alongside consultants, product teams and AI/ML engineers to translate customer needs into deployable solutions.
  • Feeding real-world learnings back into our clients' reusable AI accelerators and solution packs.

Skills

AI/LLM technologies
Client-facing delivery
Cloud platforms

Tools

AWS
Azure
GCP

Job description

We're working exclusively with a fast-growing enterprise AI and automation consultancy to find a Forward Deployed AI Engineer to work directly with customers deploying agentic AI workflows and intelligent automation across enterprise ecosystems, including ServiceNow.

This is a hands-on, client-facing engineering role. You'll sit at the intersection of full-stack development, AI implementation, and solution delivery, turning real business problems into working AI-driven solutions and helping shape our client's growing AI platform and IP.

With a major AI partnership expanding what's possible, this role isn't limited to ServiceNow-only environments. ServiceNow experience is a strong plus, not a hard requirement.

What you'll be doing -
  • Deploying and configuring agentic AI workflows and automations in live client environments
  • Building demos, prototypes and PoCs to validate AI-driven use cases with customers
  • Developing integrations between ServiceNow, enterprise systems, APIs and AI services
  • Working alongside consultants, product teams and AI/ML engineers to translate customer needs into deployable solutions
  • Feeding real-world learnings back into our clients' reusable AI accelerators and solution packs
What we're looking for -
  • 5-8+ years in software engineering, systems integration or automation, ideally with client-facing delivery experience
  • Hands-on experience with AI/LLM technologies or AI-powered applications
  • Comfortable working across AWS, Azure or GCP
  • Confident communicating technical trade-offs to both engineers and business stakeholders
Nice to have -
  • ServiceNow development, scripting or platform experience (CMDB, workflow tables, integrations)
  • Experience with RAG systems, agent-based workflows, or vector databases/embeddings

If you're an engineer who wants to build AI solutions that actually ship, working directly with customers rather than behind a product roadmap, this is a great next step.

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