Senior AI Solutions Engineer in London

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. We will work alongside subject‑matter experts in sales, marketing, operations, customer support, finance, legal, HR and talent acquisition. We will also partner with product and technical product managers leading our integrations, automations, and client API. This is a hybrid role. It blends technical skills (software engineer, AI builder, integrations specialist) with advisory expertise (process consultant, product manager, project manager, internal change‑management lead). Strong written and verbal communication is essential. You will spend a significant portion of your time helping non‑technical colleagues gain confidence using AI. You will be one of the early hires in this function and help define how Plentific adopts AI internally over the next several years.

Key Responsibilities

• 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 current understanding of agentic AI and automation capabilities to propose creative redesigns of workflows that 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 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, identify tools worth bringing in and advise 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.

Core Requirements

• Demonstrable experience shipping production AI or automation solutions that non‑technical users have adopted and continue 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 SaaS tools that a modern technology business runs on, including ERP (NetSuite or comparable), CRM, support platforms, finance tooling, marketing automation, and their integrations.
• 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.

Preferred Experience

• Familiarity with agentic patterns (MCP, RAG, evaluation frameworks) and the maturity to know when a simpler approach beats a more sophisticated one.
• Experience in a scale‑up, SaaS, or other fast‑moving technology environment.
• Experience partnering with operational, commercial, or corporate functions rather than working only with engineering teams.

Experience & Qualifications

• 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, scale‑up, or comparable environment.
• Based in London and able to work in our office on a hybrid basis.
• Right to work in the United Kingdom.

Benefits

• A competitive compensation package.
• 25 days annual holiday + 1 additional day for every year served up to 3 years.
• Flexible working environment, including the option to work abroad.
• Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP.
• Enhanced parental leave.
• Life insurance (4× salary).
• Employee assistance programme.
• Company volunteering day and charity salary sacrifice scheme.
• Learning management system powered by Udemy.
• Referral bonus and charity donation if someone you introduce joins the company.
• Season ticket loan, cycle‑to‑work, electric vehicle and Techscheme programmes.
• Pension scheme.
• Work abroad scheme.
• Company‑sponsored lunches, dinners and social gatherings.
• Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal, etc.