AI-Enabled Requirements Engineer for MBSE

Drägerwerk AG & Co. KGaA; Blyth; Hybrid; Confidential; Full time

Benefits offered by this job

27 days holiday + bank holidays and up

Hybrid working available

Discounted health services

Job summary

Dräger in the United Kingdom seeks a Requirements Engineer to lead the capture, structuring and traceability of system and product requirements across development lifecycles.

You will drive MBSE and AI-enabled requirements engineering, collaborate with cross‑functional teams, ensure alignment with regulatory and quality standards, and promote reuse across product variants in a hybrid work environment.

Qualifications

• Experience in requirements engineering within complex product development environments.
• Strong understanding of systems engineering principles.
• Experience implementing AI-enabled engineering processes.
• Experience using requirements management tools such as IBM DOORS, DOORS Next Gen, Polarion, Jama or similar requirements management platforms.

Responsibilities

• Capture and analyse stakeholder, customer, business, regulatory, and technical requirements.
• Create and maintain Product Requirements (PR), Technical System Requirements (TSR), and lower-level subsystem requirements, ensuring alignment with platform strategies, modular design principles, and opportunities for reuse across product variants.
• Ensure requirements are complete, clear, testable, measurable, and traceable.
• Manage requirements baselines and change control throughout project lifecycles.
• Develop and maintain requirement hierarchies, taxonomies, and attribute structures.
• Facilitate requirements reviews, workshops, and stakeholder alignment sessions.
• Support systems engineering activities from concept through product release.
• Support maintenance traceability of requirements, architecture, design, verification, validation, and risk management activities.
• Work closely with Project Managers, Product Managers, Systems Engineers, Software Engineers, Electronics Engineers, Mechanical Engineers, Quality, and Regulatory teams.
• Contribute to MBSE and digital engineering initiatives.
• Support system decomposition and functional analysis activities.
• Ensure requirements are linked to verification and validation methods.
• Support creation of acceptance criteria and test specifications.
• Help identify requirement gaps, ambiguities, conflicts, and risks early in development.
• Monitor requirement maturity and quality metrics throughout projects.
• Lead adoption of AI-assisted requirements engineering tools and processes.
• Develop AI-assisted methods for: Requirement generation, Requirement review, Ambiguity detection, Consistency checking, Traceability analysis, Requirements reuse.
• Identify opportunities to improve engineering productivity through automation and AI.
• Train and coach engineering teams in the use of AI-enabled requirements engineering practices.
• Define and maintain requirements engineering standards, templates, and best practices.
• Contribute to process improvement initiatives across R&D.
• Support audits, compliance reviews, and regulatory submissions.
• Establish KPI reporting for requirements quality and maturity.
• Represent and actively contribute to the Dräger Requirements Engineering community across sites and business fields

Skills

Requirements Engineering

Systems Thinking

Verification & Validation

Requirement Traceability

Risk Management

MBSE

Data Analysis

AI Applications in Engineering

Education

Degree in Systems Engineering, Software Engineering, Electronics Engineering, Mechanical Engineering, Computer Science, or related discipline

Tools

IBM DOORS

DOORS Next Gen

Polarion

Jama

Job description

Dräger in the United Kingdom seeks a Requirements Engineer to lead the capture, structuring and traceability of system and product requirements across development lifecycles.

You will drive MBSE and AI-enabled requirements engineering, collaborate with cross‑functional teams, ensure alignment with regulatory and quality standards, and promote reuse across product variants in a hybrid work environment.