Forward-deployed AI engineering
Work with client stakeholders on discovery, prototyping, integration, evaluation, and deployment.
Careers
Careers in AI & Engineering
Paramount offers opportunities to contribute to business-critical work requiring technical judgment and hands-on engineering. Our engagements bring engineers close to client users, product leaders, and the systems where the work needs to run.
Experience across enterprise and digital businesses
Selected Paramount engagements and the prior professional experience of our leadership. Individual case studies describe the relationship and scope.
Where you could contribute
We look for people who can understand a problem, build the solution, and take responsibility for the work.
Software and platform engineering
Build applications, APIs, internal tools, and the systems that support them.
Data and analytics
Improve data flows, reporting, and the foundations for AI applications.
Quality and production delivery
Test behavior, investigate failures, and improve release and operating practices.
Our hiring process
A structured, transparent process designed to assess capability, alignment, and long-term potential.
- 1
Application review
We review your background, experience, and problem-solving exposure, then hold a focused conversation about your goals and expectations, and give you clarity on our work, standards, and environment.
- 2
Practical or technical assessment
Depending on the role, you complete a structured assessment based on real-world scenarios across AI, data, cloud, automation, or platform engineering. We look for ownership, judgment, and clear communication.
- 3
Technical or strategy interview
A deep discussion with senior engineers or consultants on structured thinking, technical depth, and problem-solving approach. You also meet potential team members and discuss how you collaborate.
- 4
Final decision
We provide clear feedback at the end of the process and extend an offer if there is strong mutual alignment. We then agree the role, team, and start details with you.
Open positions
Our priority areas are forward-deployed AI engineering and applied AI engineering. Current openings are listed only when the role and hiring requirements are confirmed.
Frequently asked questions
Current openings are listed on this page with the team and location for each role. Our priority areas are forward-deployed AI engineering and applied AI engineering.
Experience in AI or data is valuable, and each listing describes what the role requires. We also welcome candidates from other technical backgrounds who can show relevant delivered work.
We value ownership, engineering judgment, clear communication, and evidence. Engineers work close to client users, product leaders, and the systems where the work needs to run.
Client and internal engineering work across AI agents and retrieval, software and platform engineering, data and analytics, and quality and production delivery, from requirements through release and handover.
You take responsibility for business-critical work from requirements through delivery and handover, working alongside experienced engineers and the founders, who stay hands-on in architecture and quality.
Open a role below and use its Application tab. If no current role fits, submit an expression of interest. Include examples of systems you have built or improved, and exclude confidential client information.
Our process typically includes a screening call, followed by interviews with team members or hiring managers. Depending on the role, there may be a technical assessment or case study.
Yes. Our client work spans sectors such as enterprise software, telecom, industrial automation, and life sciences, depending on current engagements.
Most learning happens through delivery: real client systems, code and architecture reviews, and evaluation work with experienced colleagues.
It depends on the role and the number of candidates. We keep you informed throughout the process.