Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Stuttgart, Wolfsburg, Berlin, Munich, Cologne, Frankfurt, Ettlingen, Kochel am See, Oberwöhr, Erfurt
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you rapidly develop functional prototypes and MVPs to make AI solutions tangible for clients, implementing technical concepts with cutting-edge technologies and collaborating directly with customers.
Job Technologies
Your role in the team
- The Forward-Deployed Engineer is a client-facing builder within the AI GTM organization responsible for rapidly creating demos, prototypes, proofs of concept, and MVPs that make AI opportunities tangible for clients and account teams.
- This role combines hands-on engineering, AI fluency, product thinking, and field presence to translate client problems into working technical concepts using models, agents, data, workflows, integrations, and user experiences.
- Schnell Demos, Prototypen, Machbarkeitsnachweise und MVPs erstellen, die KI-Anwendungsfälle für Kunden und Account-Teams zum Leben erwecken.
- Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.
- Support discovery workshops, executive demos, technical deep dives, proof-of-value sessions, and partner enablement activities.
- Partner with Solution Architects to ensure prototypes align to scalable architecture, delivery paths, security expectations, and operational requirements.
- Work with ecosystem partners to showcase differentiated capabilities across OpenAI, Anthropic, Mistral, Google/Gemini, cloud, data, and enterprise platforms.
- Verpacken Sie Prototypen in wiederverwendbare Assets, Demo-Skripte, technische Unterlagen, Setup-Anleitungen, Referenzarchitekturen und Übergabematerialien.
- Validate technical feasibility, data dependencies, integration complexity, user experience assumptions, and implementation risks early in the sales cycle.
- Helfen Sie dabei, die Chancenumwandlung zu beschleunigen, indem Sie KI-Lösungen greifbar, glaubwürdig und kundenspezifisch machen.
- Contribute lessons learned, reusable code, prompts, agent patterns, and implementation guidance back into the global FDE knowledge base.
This text has been machine translated. Show original
Our expectations of you
Education
- Bachelor's degree or equivalent work experience.
Qualifications
- Working knowledge of responsible AI, security, data handling, privacy, and enterprise deployment considerations.
- Fluency in German and English.
- AI/ML, Cloud, Data Engineering, or Software Engineering certifications.
- Strong technical curiosity, client empathy, communication, bias for action, collaboration, and ability to explain complex technical concepts clearly.
- Ability to travel as required for client and internal engagements.
Experience
- 5+ years of experience in software engineering, AI engineering, data engineering, ML engineering, solution engineering, technical consulting, or related hands-on technical roles.
- 2+ years of experience building or deploying AI, ML, GenAI, LLM, RAG, agentic AI, data science, or automation solutions.
- Hands-on experience with programming languages and frameworks such as Python, JavaScript/TypeScript, FastAPI, Flask, React, LangChain, LlamaIndex, PyTorch, TensorFlow, or similar technologies.
- Experience integrating APIs, data sources, model providers, workflow tools, and cloud services into working demos or prototypes.
- Experience with OpenAI, Anthropic, Mistral, Google/Gemini, Azure, AWS, GCP, Databricks, Snowflake, vector databases, model registries, and MLOps/LLMOps tooling.
- Experience working directly with clients, sales teams, or product teams to rapidly prototype solutions under ambiguous conditions.
This text has been machine translated. Show original
What we offer
- Flexible working hours with a flexitime arrangement; business travel time is considered working time.
- 30 days of annual leave, plus December 24 and December 31 as additional non-working days.
- The option to take a sabbatical of up to one year.
- Remote work and mobile working from other EU countries.
- Attractive benefits and compensation optimization programs, including an occupational pension scheme, JobRad bike leasing, a public transport pass, exclusive discounts through Corporate Benefits, and much more.
- Umfassende Gesundheits- und Präventionsleistungen, einschließlich erweiterter Weiterzahlung im Krankheitsfall, betriebsärztlicher Dienste, weltweiter Unfallversicherung, die sowohl Arbeits- als auch Freizeitunfälle abdeckt, sowie Familienunterstützungsdienste.
- A wide range of internal and external development opportunities through the NTT DATA Academy, including specialist training, certification programmes, soft-skills training, and access to Udemy.
- Varied corporate volunteering opportunities, as well as diverse communities and initiatives focusing on Diversity, Equity & Inclusion, sustainability, and more, with knowledge sharing on an equal footing.
- A team-oriented corporate culture with plenty of scope to contribute ideas and shape your work.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
- 🚌Excellent Traffic Connections
- 🏝Extra Holidays
- ⏸Educational Leave/Sabbatical
- 🅿️Employee Parking Space
- 🏠Home Office
- ⏰Flexible Working Hours
- 🏖️Workation
Higher Take-Home Pay
- 🚙Company Car
- 📱Company Phone for Private Use
- 💻Company Notebook for Private Use
- 👴🏻Company Retirement Provision
- 🚎Public Transport Allowance
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
NTT DATA Deutschland GmbH
As the world's leading provider of IT services and global innovation partner, we combine global presence with local market expertise. Our professional IT services include consulting and system development to outsourcing.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)3.7
Engineering
3.1Culture
3.6Workingconditions
4.2Career Growth
4.0
Forward-Deployed Engineer
- Location
- Hamburg, Stuttgart, Wolfsburg, Berlin, Munich, Cologne, Frankfurt, Ettlingen, Kochel am See, Oberwöhr, Erfurt
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
