AI Solution Engineer

Description

Your code in the AI Engineering team will change the physical world. The team builds AI-driven technology that changes how infrastructure and buildings are designed and engineered, cutting waste and CO₂ and making the built environment more efficient and sustainable. Here, software delivers results you can measure in the real world.

The team is small and highly technical, and it works with the speed and ownership of a start-up. It also draws on the resources and engineering expertise of one of the world's leading engineering firms.

The company is leading the industry's AI shift. It is a Fortune 500 firm with revenue of $16.1 billion in fiscal year 2025, and it works in water, environment, energy, transportation and buildings for public and private clients, from advisory and planning through to design, engineering, program management and construction management.

The company has over 50,000 planners, designers, engineers, scientists, digital innovators, and program and construction managers working on projects worldwide. It is one global team.

Responsibilities

• Sit between technology, product and business to decide where AI can be used across the company.
• Turn ideas into validated solution concepts and show what is possible, valuable and feasible.
• Find and shape AI opportunities across the business.
• Judge feasibility by weighing technical capability, business value and complexity.
• Design and build prototypes, demos and MVPs.
• Turn problems into structured approaches and PRDs.
• Work with engineers, product managers and domain experts.
• Explore new AI models and tools.
• Support work from concept through to handover to production.
• Move between demos, prototyping and exploration as needed.
• Your week could include running a demo, supporting operational issues, testing the latest LLM capabilities, joining workshops, making discovery calls, or spending a full day building PoCs and MVPs. No two days look the same.

Requirements

• A degree in computer science, software engineering, innovation, entrepreneurship, technology or a related technical field, or equivalent proven experience.
• A background in AI, engineering, data, product or consulting. Mindset counts for more than job title.
• An understanding of what AI and LLMs can and cannot do, and familiarity with tools such as LLMs, APIs, MCPs and RAG systems.
• Ability to build prototypes in Python, web frameworks and similar tools, and a good grasp of the idea, prototype and production lifecycle.
• Experience turning ideas into structured approaches or prototypes, assessing feasibility and explaining trade-offs.
• Preferred: experience working with senior stakeholders to shape solutions.
• Preferred: experience turning ideas into structured approaches or prototypes.
• Preferred: a high-level understanding of cloud platforms, containers and backend systems.
• Preferred: exposure to finance, operations or commercial work.

Conditions

The role requires an in-person Day 1 onboarding at a company office as a condition of employment.

The company is a Disability Confident Employer and will interview applicants with a disability or long-term condition who meet the essential criteria for the role.

All information you provide is kept confidential under EEO guidelines.

Benefits

• Work on real-world problems where AI makes a measurable difference.
• Your ideas can become real, and your work matters to the team.
• Work alongside sharp, driven colleagues in a culture built on trust, ownership and high standards.
• Help make the built environment smarter and more sustainable.
• Depending on employment status, benefits may include medical, dental, vision, life, AD&D and disability cover, paid time off, leaves of absence, voluntary benefits, perks, flexible work options, well-being resources, an employee assistance program, business travel insurance, service recognition awards, a retirement savings plan and an employee stock purchase plan.
• Access to cutting-edge technology, a network of experts and award-winning training and development programs for technical and leadership skills.
• A respectful, collaborative workplace with room to grow.