Your IT Future, Delivered
With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions . We work beyond global borders and push boundaries across all dimensions of logistics . You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.
Digitalization. Simply delivered.
At IT Services we are accelerating the Group’s digitalization journey and evolving to become a competitive advantage for DHL Group. We have recently formed Platform Engineering Transformation Team to enhance our digital solutions and develop compelling & resilient end-to-end services. And no matter your level of proficiency, you can always grow within our diverse environment.
#DHL #DHLITServices #GreatPlace #Digitalplatforms
Grow together
As a Agentic AI Development Principal Consultant , you will be at the forefront of transforming how thousands of engineers build, deploy, secure, and operate software at global scale.
You will lead the introduction and adoption of:
- AI-augmented DevSecOps practices embedded across the SDLC
- Internal Development Platforms (IDPs) tools, standards, and integration patterns enhanced with AI-native capabilities
Your work spans strategic thought hands-on evaluation of emerging technologies, shaping adoption frameworks, and guiding engineering teams through migration and transformation.
Which involves analysis, assessment, ROI calculation, writing business cases, rollout, migrations and adoption measurement assurance and much more.
Ready to embark on the journey? Here’s what we are looking for:
- Proven track of records 7 + years of professional experience where at least 5+ years is in a Principal Consulting role or a similar position (central tools team, technical presales, product owner…), with a perfect understanding of application development process.
- Proven experience with vendor negotiation, cost management, and delivering workshops/training.
- Knowledge of related technologies such as programming, K8S and application monitoring.
- We require having proven track records in software consulting in development tools area or adoption projects. Experience with Software methodologies. Ability to analyze, communicate and deliver new things.
- You have can-do attitude, open mindset, you are able to work independently, prioritize and organize your tasks and the project. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English is necessary.
Key responsibilities:
Strategic Technology & AI Evaluation — “What should our future look like?”- Evaluate emerging technologies with a strong focus on AI-augmented DevSecOps, developer copilots, autonomous code remediation assistants, and AI-driven observability.
- Assess vendor solutions, open-source stacks, and alignment with enterprise-scale Platform Engineering principles.
- Perform deep-dive tool comparisons, architecture assessments, and landscape fit analysis.
- Identify opportunities to embed AI into Internal Developer Platforms and DevSecOps processes.
Platform Engineering Integration — “How does this fit our ecosystem?”- Define integration patterns for AI services within platform engineering layers (build systems, deployment pipelines, security automation, observability stacks).
- Influence standards for golden paths, self-service capabilities, infrastructure abstractions, and automated guardrails.
- Collaborate with central engineering teams to embed AI-driven automation into platform capabilities.
Business Case & ROI — “Is it worth the investment?”- Produce detailed ROI, TCO, and benefit analyses for AI and DevSecOps investments.
- Build convincing business cases for adoption of automation, generative AI, and platform modernization initiatives.
- Represent the Platform Engineering Transformation Team in stakeholder discussions and steering boards.
Adoption, Rollout & Operating Model — “Make it real.”- Drive enterprise-scale rollout of new tools, AI agents, and platform capabilities.
- Define Cost models, support design and Recharging models.
- Design training programs, communication strategies, and onboarding journeys for developers and engineering teams.
- Measure adoption success using clear KPIs, and feedback loops.
Leadership, Communication & Collaboration - Act as a key influencer across global engineering communities.
- Engage with business units, vendors, and engineering teams.
- Facilitate workshops, technical deep dives, and platform evangelization activities.
- Promote a culture of continuous improvement, innovation, and responsible AI adoption.
An array of benefits for you:
- An extra week of holiday (25 days/year), 6 Self-sickness days, Full compensation for up to 10 days absence due to illness/year, Up to 3 additional personal paid days off for long-term service
- Annual bonus
- On-going professional & technical training and certifications
- Flexible working hours with home office possibilities (up to 3 days HO per week)
- Company car for business & private purposes/car allowance
- Edenred Cafeteria program including fully covered lunch vouchers; pension/life insurance, medical membership, long-term sickness insurance
- Multisport card, Discounts with selected partners, Company events and Health Days, Fruit days, One-time maternity grant, Opportunity to buy Deutsche Post AG shares at a discount, and much more
Great Team
If the role sounds interesting to you, please let us know and join us in delivering the Platform Engineering future of DHL logistics! Your potential future manager, Lukas, cannot wait to speak with you in case this sounds interesting!