- WHO WE ARE

Deutsche Telekom Digital Labs is the engineering hub of Deutsche Telekom, Europe’s #1 telecom brand. We build the digital products that millions of customers across Europe use every day. AI-first by design, we don't just adopt new technology, we build with it.

You will be part of Deutsche Telekom:

#1 most valuable telecom brand in the world, and #11 across all brands (Brand Finance Global 500, 2026)

- Top 100 in the Fortune Global 500 (#72 in 2025)
- EUR 119 billion Group revenue in 2025
- 273 million+ mobile customers in 50+ countries

ABOUT THE TEAM

ConsumerAI is part of DTDL's AI product portfolio, building on Deutsche Telekom's scale to ship real products for real customers.

YOU ASK WHAT’S IN IT FOR YOU? WE SAY,

- AI tools, on us — Every engineer ships with AI. Coding agents, token budgets and hackfests to build what's next.
- Grow faster — Free Coursera & Udemy access, certifications and internal mobility across teams.
- Time to recharge — Uncapped leaves, birthday leave, flexible hours, and sabbatical options.
- Family first — 9 months maternity on full pay, 15 days paternity, crèche support, infertility treatment and adoption leave.
- Health & wellness — Medical cover up to ₹15L for you and your family, unlimited free doctor consults, 24/7 counselling and free Cult.fit membership.
- Money & everyday — Flexi benefits for car, fuel and books. Free meals and snacks on campus. Monthly phone and broadband allowance, plus relocation support when you need it.

What exactly is the objective of this role?

Design and ship AI-powered product features (LLMs, RAG, agents, ML APIs) into our existing services, working closely with backend, frontend, and data science teams.

- Integrate off-the-shelf and inhouse models (LLMs, embeddings, ML APIs) into robust microservices and user facing flows.

- Design and implement RAG and workflow/agent pipelines: retrieval, context assembly, tools integration, guardrails, and fallbacks.

- Own AI service reliability in production: latency, throughput, cost, observability, circuitbreakers, and rollback/versioning of models and prompts.

- Collaborate with Data Scientists who own model training/finetuning and evaluation design; productionize their outputs as stable APIs/workflows.

- Implement logging, feedback capture, and lightweight online evaluation hooks to measure quality of AI features over time.

- Ensure safety, security, and compliance for AI features: prompt injection defenses, PII handling,



abuse/hallucination controls, and audit trail.

- Contribute to internal AI tooling: SDKs, templates, and reusable components to accelerate future AI use case.

Delivery ownership:

•Own end-to-end delivery of NatCo use cases: from requirement through integration, security clearance, launch and post-launch quality.

•Hold the launch date. Sequence work across your squads, surface dependencies on the capability PODs early, and escalate rather than absorb.

•Own post-launch outcomes, not just go-live — deflection, containment and customer experience are yours after the switch is flipped.

Partners and vendors

•Run technology and dialog-engine partners as delivery partners: onboarding under IT guidelines with defined entry and exit criteria, integration milestones, and SLAs that hold.

•Be the single technical point of contact partners escalate to, and the person who holds them to commitments.

Stakeholders, security and compliance

•Work with NatCo business owners, product, PSA, security, privacy and procurement to clear the non-engineering blockers that stall AI launches.

•Drive security and privacy review to a decision — anticipate what reviewers will ask and bring it before they ask.

People and team

•Line-manage the Forward Deployed Engineers and squad leads: hiring, growth, performance, and building the FDE career path.

•Build a team that is credible in front of a customer and in a code review — deploy engineers into markets without losing their engineering depth.

Platform discipline

•Push fixes and patterns discovered in the field back upstream into the owning capability POD, rather than solving them locally.

•Say no to the fast local workaround. Protecting one implementation across nine markets is part of the job, not a constraint on it.

•Hands-on integration depth.You have personally shipped production integrations against enterprise APIs — REST and event-driven — in Java, Python or equivalent. You can read the code your team writes and review a design.

•Customer-facing delivery.You have owned delivery in front of a customer,



a partner or an internal business unit, where the commitment was yours and the systems were not.

•Vendor management.Onboarding and managing technology partners: commercial and technical entry criteria, integration milestones, SLA enforcement, and a defined exit.

•Security and compliance fluency.You have taken a product through enterprise security, privacy and procurement review — PSA, DPIA, pen-test remediation or the equivalent — and know how to shorten it.

•Multi-market rollout.Rolling the same platform into multiple markets, tenants or customers, and holding one implementation while doing it.

•AI systems literacy.Working knowledge of how modern LLM applications are built and operated: prompts and operating procedures, tool calling and MCP, RAG, evaluation, and voice pipelines including STT, TTS, endpointing and barge-in. Enough to hold an architectural line in a partner conversation — you are not expected to invent the architecture.

•Ways of working.Comfortable operating across time zones with European stakeholders, with regular travel to markets.

NICE TO HAVE

•Telecommunications or contact-center domain experience — IVR, CCaaS, routing, agent desktop.

•A forward-deployed or solutions-engineering background, where engineers are embedded in the customer's environment to deliver an outcome.

WITH THE RIGHT TEAM, ANYTHING IS POSSIBLE.

If you're looking for an environment that's fun and friendly but incredibly fast-paced; a place where we measure the time between releases in days; a place where our focus begins and ends at the consumer, we'd love to have you!

JOIN US!

Deutsche Telekom is one of the world's leading integrated telecommunications companies, with some 252 million mobile customers, 25 million fixed-network lines, and 22 million broadband lines. Deutsche Telekom is present in more than 50 countries. With a staff of some 200,000 (Dec 31, 2023) employees throughout the world, we generated revenue of 111,9 billion Euros in the 2023 financial year. As of 2023, It is rated as the 9th most valuable brand in the world.

Deutsche Telekom Digital Labs is the digital powerhouse that fuels Deutsche Telekom’s vision to be a “Leading Digital Telco”. We create compelling digital propositions for the worlds’ largest Telekom giant by building scalable, agile and cutting-edge platforms to provide the best of digital experience to Deutsche Telekom customers across Europe and US.

📌 Principal AI Engineer- I (Gurugram)
🏢 Deutsche Telekom Digital Labs
📍 Gurugram