Job
- Level
- Senior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Hamburg, Stuttgart, Wolfsburg, Berlin, München, Köln, Frankfurt am Main, Ettlingen, Kochel am See, Oberwöhr, Erfurt
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du schnell funktionale Prototypen und MVPs, um AI-Lösungen für Kunden greifbar zu machen, wobei du technische Konzepte mit modernsten Technologien umsetzt und direkt mit Kunden zusammenarbeitest.
Job Technologien
Deine Rolle im 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.
- Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
- 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.
- Package prototypes into reusable assets, demo scripts, technical collateral, setup guides, reference architectures, and handoff materials.
- Validate technical feasibility, data dependencies, integration complexity, user experience assumptions, and implementation risks early in the sales cycle.
- Help accelerate opportunity conversion by making AI solutions concrete, credible, and client-specific.
- Contribute lessons learned, reusable code, prompts, agent patterns, and implementation guidance back into the global FDE knowledge base.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's degree or equivalent work experience.
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- 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 optimisation programmes, including an occupational pension scheme, JobRad bike leasing, a public transport pass, exclusive discounts through Corporate Benefits, and much more.
- Comprehensive health and preventive care benefits, including extended continued remuneration in the event of illness, occupational health services, worldwide accident insurance covering both work-related and leisure-time accidents, and family support services.
- 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.
Benefits
Work-Life-Integration
- 🚌Gute Anbindung
- 🏝Extra Urlaubstage
- ⏸Bildungskarenz/Auszeit
- 🅿️Mitarbeiterparkplatz
- 🏠Home Office
- ⏰Flexible Arbeitszeiten
- 🏖️Workation
Mehr Netto
- 🚙Firmenauto
- 📱Handy zur Privatnutzung
- 💻Notebook zur Privatnutzung
- 👴🏻Betr. Altersvorsorge
- 🚎Verkehrsmittel-Zuschuss
Gesundheit, Fitness & Fun
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
NTT DATA Deutschland GmbH
NTT DATA ist ein weltweiter Anbieter von IT-Dienstleistungen und ein globaler Innovationspartner. Wir bieten professionelle IT-Dienstleistungen in Beratung, Systementwicklung und Outsourcing an und kombinieren diese mit lokalem Marktwissen und einer globalen Präsenz.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(1 Bewertung)3.7
Engineering
3.1Culture
3.6Workingconditions
4.2Career Growth
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