AI Enablement Engineer

Phorest; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Private healthcare

Wellness days

Employee assistance programme

Pension

Life assurance

Income protection

Employee share purchase

Family-related leave

Learning resources and development

Job summary

Phorest is seeking a founding member of its AI enablement team to tackle high‑value operational problems with a mix of AI, automation and traditional software. This hands-on staff engineer role spans multiple business functions, from understanding workflows to delivering dependable production systems and measuring impact.

You will set technical direction, prototype AI tools, collaborate with stakeholders and mentor others, helping the organisation scale responsible AI and tooling across the

Qualifications

• Staff-level software engineering experience across multiple teams.
• Strong product judgement and ability to take ambiguous problems from discovery through experimentation into production.
• Sound technical decision-making across AI, automation and conventional software, including trade-offs in cost, security, quality and maintainability.
• Ability to work with varied stakeholders, communicate technical decisions and demonstrate measurable outcomes.
• A record of mentoring others and improving their effectiveness through technical leadership and knowledge sharing.
• Curiosity about AI and motivation to apply it to meaningful improvements in how an organisation works.

Responsibilities

• Set technical direction, patterns and standards for AI enablement work across the organisation.
• Work with business functions to understand goals and processes, identify promising opportunities and prioritise work by potential value.
• Prototype and deliver AI tools, agents, automations or traditional software, making practical build-or-buy choices.
• Ensure production solutions are secure, reliable, scalable, observable, maintainable and clearly owned.
• Establish baselines and measure results, weighing engineering, tooling and model costs against business value.
• Develop reusable capabilities and governance, and help guide AI tooling, production use, security and spend.

Skills

Staff-level engineering

Technical leadership

Product judgement

AI

Automation

Stakeholder communication

Mentoring

Curiosity about AI

Job description

Role overview

As a founding member of an AI enablement team, find high-value operational problems and solve them with the right combination of AI, automation and conventional software. This autonomous, hands-on staff engineering role spans multiple business functions, from understanding workflows and testing ideas to delivering dependable production systems and measuring their impact.

Responsibilities

• Set technical direction, patterns and standards for AI enablement work across the organisation.
• Work with business functions to understand goals and processes, identify promising opportunities and prioritise work by potential value.
• Prototype and deliver AI tools, agents, automations or traditional software, making practical build-or-buy choices.
• Ensure production solutions are secure, reliable, scalable, observable, maintainable and clearly owned.
• Establish baselines and measure results, weighing engineering, tooling and model costs against business value.
• Develop reusable capabilities and governance, and help guide AI tooling, production use, security and spend.

Requirements

• Staff-level software engineering experience and ability to lead complex technical work across teams.
• Strong product judgement and experience taking ambiguous problems from discovery through experimentation into production.
• Sound technical decision-making across AI, automation and conventional software, including trade-offs in cost, security, quality and maintainability.
• Ability to work with varied stakeholders, communicate technical decisions and demonstrate measurable outcomes.
• A record of mentoring others and improving their effectiveness through technical leadership and knowledge sharing.
• Curiosity about AI and motivation to apply it to meaningful improvements in how an organisation works.

Nice to have

• Experience building tools that help teams use AI, agentic systems, AI evaluation or orchestration.
• Experience establishing AI governance or managing AI tooling and model costs.

Benefits and work setup

• Flexible hours and work-from-home options are available, and remote work is considered. Listed benefits include private healthcare, wellness days, an employee assistance programme, pension, life assurance, income protection, employee share purchase, family-related leave, learning resources and development programmes.