AI Engineer - Infrastructure

causaLens; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading AI solutions provider in London is seeking AI Engineers to work on high-impact projects. You'll design, build, and deliver AI solutions that address real business problems. Ideal candidates have deployment expertise and experience with cloud environments. This role offers competitive benefits, a supportive culture, and opportunities for professional growth.

Benefits

25 days of paid holiday

Share options

Pension scheme

Learning and development budget

Health/Dental Insurance

Qualifications

• Expertise in deploying AI solutions to cloud and on-premise environments.
• Proven track record with major cloud providers.
• Hands-on experience in building production-grade AI solutions.

Responsibilities

• Collaborate with enterprises to understand needs and deploy workflows.
• Design and implement architectures leveraging AI technologies.
• Lead delivery of AI products from concept to deployment.

Skills

Deployment of enterprise-grade AI solutions

Cloud provider experience

DevOps best practices

Production-grade solutions with LLMs and workflows

Client-facing experience

Solution architecture

Job description

causaLens delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the cost, with guaranteed outcomes and zero overhead.

Here are 2 articles that define our culture:

• A Hiring Framework for a New Kind of Services Company
• The Primacy of Winning

We’re looking for AI Engineers who are passionate about helping world-leading enterprises put cutting-edge AI agents into production. You’ll work on impactful, high-visibility projects - designing, building, and delivering intelligent solutions that solve real business problems at scale.

What you’ll bring:

• Expertise in the deployment of enterprise-grade AI solutions to cloud and on-premise customer environments with a focus on availability, observability and security.
• Proven track record with at least one of the major cloud providers and an understanding of DevOps best practices.
• Hands-on experience building production-grade solutions using LLMs, RAGs, MCPs, and agentic workflows.
• Client-facing experience with a forward deployed engineering mindset. You’ll work directly with both technical teams and business stakeholders to understand real-world challenges and deliver solutions that drive measurable impact.
• Strong solution architecture and delivery skills: ability to translate complex business problems into scalable, intelligent AI solutions.

What you’ll do

• Collaborate directly with top-tier enterprises to understand needs, design and deploy bespoke agentic workflows.
• Design and implement robust architectures that leverage the latest AI technologies.
• Lead the delivery of high-impact AI products from concept to deployment.

Benefits

We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a great work-life balance, we offer the following:

• 25 days of paid holiday, plus bank holidays
• carry over/sell holiday options (up to 5 days)
• Share options
• Pension scheme

• Happy hours and team outings
• Referral bonus program
• Cycle to work scheme
• Friendly tech purchases
• Benefits to choose from, including Health/Dental Insurance
• Special Discounts
• Learning and development budget
• Work abroad days
• Office snacks and drinks

Logistics

Our interview process consists of screening sessions with the hiring manager and a Day 0 which involves an approximately 3-hour in-person challenge followed by an in-person presentation and interviews.

Have questions? We encourage open dialogue—reach out anytime.

If you require accommodations during the application process or in your role at causaLens, please contact us at [e-mail]