AI and Digital Solutions Engineer

Internal

External

Key Responsibilities

• Audit and map current operational workflows — including consultant scheduling, travel booking, contractor contracting, and client communications — to identify automation and AI opportunities.
• Design and build end-to-end digital workflows using AI tools, automation platforms, and scheduling systems to reduce manual effort across the Operations team.
• Implement intelligent scheduling solutions for consultant time allocation, ensuring visibility of availability, conflict resolution, and automated notifications to all parties.
• Automate the full client communication lifecycle for training and consultancy engagements, including generation and dispatch of joining instructions, course materials, Teams meeting invitations, and post-course certificates.
• Build and maintain a digital contractor management workflow covering sourcing triggers, contract generation, engagement tracking, and payment milestone coordination.
• Own the technology stack for Operations automation — evaluating tools, managing licences, and ensuring solutions remain fit for purpose as the business evolves.
• Champion adoption of new digital workflows across the Operations team, providing training, documentation, and ongoing support.
• Monitor solution performance, identify failure points, and continuously improve automations to increase reliability and coverage.
• Support the Business Development team with AI-assisted proposal workflows, CRM automation, and pipeline visibility tooling to accelerate the sales cycle.
• Collaborate with the Product team to design and implement digital solutions that streamline product feedback collection, internal reporting, and release communication processes.

Key Metrics for Success

AI & Digital Competency

AI Fluency Tier

Role-Specific AI & Digital Skills

• Design and deploy AI-assisted scheduling systems that intelligently match consultant availability to client demand, accounting for skills, location, and travel constraints.
• Use LLM-powered tools to auto-generate personalised client communications — joining instructions, Teams invites, course materials packs, and post-course certificates.
• Build AI-assisted contractor matching and contract generation workflows, reducing turnaround time from requirement to signed agreement.
• Apply AI tools for document classification and routing — ensuring the right materials reach the right clients at the right time.
• Leverage AI-powered analytics to surface operational bottlenecks and recommend process improvements proactively.
• AI Development & Growth
• Complete TrustFlight’s AI fluency onboarding programme within first 30 days.
• Share automation wins, prompt libraries, and AI use cases with the wider team on a quarterly basis.
• Actively participate in TrustFlight’s internal AI community of practice, contributing Operations-specific use cases and learnings.

Competencies & Behaviours

Working Arrangements

Required Qualifications & Experience

• A degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a closely related technical discipline — achieved or expected at 2:1 or above.
• Demonstrated academic study of AI and machine learning concepts, including LLMs, automation, or intelligent systems — evidenced through coursework, dissertations, modules, or equivalent self-directed learning.
• Ability to demonstrate understanding of how AI tools can be applied to real-world process automation, through academic projects, coursework examples, or personal study.
• Familiarity with at least one automation or no-code/low-code platform (e.g. Make, Power Automate, n8n, Zapier) — whether through university projects, personal experimentation, or placement experience.
• Comfortable working analytically with data and processes — able to break down a workflow logically and identify where technology can add value.
• Strong communication skills — able to translate technical concepts for non-technical colleagues and listen carefully before designing solutions.
• Organised, reliable, and able to manage competing priorities — follows through on commitments and flags issues early.

Desirable Skills & Experience

• Placement year, internship, or part-time experience in a technology, operations, or business environment.
• Hands-on experience integrating LLM APIs (e.g. Anthropic Claude, OpenAI GPT) in a project or academic context.
• Familiarity with the Microsoft 365 ecosystem, particularly Teams, as a communications and workflow platform.
• Exposure to APIs, webhooks, or data integration between SaaS platforms.
• Experience with document generation tools or CRM platforms.
• Awareness of UK GDPR and data privacy considerations as they apply to automated communications and personal data.
• Interest in or knowledge of aviation, professional services, or regulated industries.