AI Solutions Engineer

Requirements

• Demonstrable experience shipping production AI or automation solutions that non-technical users have actually adopted and continued to use
• Hands-on fluency in low-code automation and integration platforms such as n8n, Tray.io, Workato, or Zapier, and in agentic patterns using LLM APIs from Anthropic, OpenAI, or similar
• Confident hands-on coding in Python and TypeScript, comfortable building REST and webhook integrations, testing APIs (for example with Postman), and working with version control and basic CI/CD
• Working knowledge of the SaaS tools that a modern technology business runs on, including ERP (NetSuite or comparable), CRM, support platforms, finance tooling, marketing automation, and the integrations between them
• Excellent written and verbal communication, including the ability to explain technical trade-offs to a Finance Manager and to debug a prompt failure with an engineer in the same afternoon
• A track record of running internal enablement (training, workshops, documentation, and office hours) that has measurably increased adoption of new tooling
• Sound judgement around data access, PII handling, RBAC, and the security implications of letting AI systems act autonomously
• (Desirable) Familiarity with agentic patterns (MCP, RAG, evaluation frameworks) and the maturity to know when a simpler approach beats a more sophisticated one
• (Desirable) Experience in a scale-up, SaaS, or other fast-moving technology environment
• (Desirable) Experience partnering with operational, commercial, or corporate functions rather than working only with engineering teams
• 5+ years of professional experience in software engineering, applied AI engineering, or a hybrid solutions and automation role
• Experience working alongside non-technical or semi-technical teams in a tech company, scaleup, or comparable environment
• Located in London and able to work in our office on a hybrid basis
• Right to work in the United Kingdom

What the job involves

• We are hiring a Senior AI Solutions Engineer to help every team at Plentific do more, do better, and do faster with AI. The aim is to automate repetitive work, raise the quality of output, and shorten cycle times
• You will work alongside subject-matter experts in sales, marketing, operations, customer support, customer success, finance, legal, HR, and talent acquisition. You will also partner with our product managers and the technical product managers leading our integrations, automations, and client API
• This is a hybrid role. You are part technical (software engineer, AI builder, integrations specialist) and part advisory (process consultant, product manager, project manager, and internal change-management lead). Strong written and verbal communication is essential.
• You will spend a significant share of your time helping non-technical colleagues become confident users of AI themselves. You will be one of the early hires in this function and will help define how Plentific adopts AI internally over the next several years
• Identify and prioritise opportunities
• Work with each business team to understand workflows, pain points, and bottlenecks
• Identify high-leverage opportunities for AI and automation based on business value, feasibility, and risk
• Use a current understanding of agentic AI and automation capabilities to propose creative redesigns of workflows the business has been working around for years
• Translate ambiguous problems into clearly scoped use cases, proofs of concept, and delivery plans
• Design and deliver solutions
• Build AI and automation solutions using tools such as n8n, Tray.io, Workato, Zapier, Claude Code, and direct LLM APIs
• Integrate with systems including Slack, Google Workspace, NetSuite, Salesforce, HubSpot, and the other tools used across the business
• Develop robust workflows and integrations with appropriate logging, retries, monitoring, evaluations, and guardrails
• Prototype quickly, validate with users, and productionise solutions that prove their value
• Document solutions clearly so they can be maintained, extended, or handed over where appropriate
• Coordinate with product managers and technical product managers when an automation touches platform systems, integrations, or the client API
• Drive adoption and build capability
• Drive adoption of every solution you ship: work alongside end-users until they trust and own the tool, gather feedback, and iterate until usage sticks
• Run internal training, workshops, and office-hours sessions to raise AI literacy across the company
• Help colleagues develop their own fluency with AI tools, beyond the specific solutions you build for them
• Maintain Plentific’s internal AI tool catalogue, identifying tools worth bringing in and advising on those that should be retired
• Establish standards and manage risk
• Define reusable patterns, components, and templates to make future solutions faster and cheaper to deliver
• Apply strong judgement around data handling, permissions, privacy, and security
• Work with Security, Legal, and Privacy teams on areas such as PII minimisation, auditability, RBAC, and guardrails for autonomous behaviour
• Measure outcomes such as time saved, quality improvement, volume unlocked, adoption, and throughput
• Review solutions critically and retire or redesign those that do not deliver meaningful value

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