Lead Forward Deployment Engineer (w/m/x) - AI & Enterprise Solutions at NTT DATA Deutschland SE | AT | Rezi

Lead Forward Deployment Engineer (w/m/x) - AI & Enterprise Solutions at NTT DATA Deutschland SE

Lead Forward Deployment Engineer (w/m/x) - AI & Enterprise Solutions

NTT DATA Deutschland SE · AT

1 weeks ago

Lead Forward Deployment Engineer (w/m/x) - AI & Enterprise Solutions

NTT DATA Deutschland SE · AT

12 days ago
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About the Role

As a Lead Forward Deployed Engineer, you will take outcome responsibility in challenging customer engagements. You will bring together executive, business, and technology stakeholders, translate complex challenges into clear decisions, and orchestrate the right experts and technologies. Your goal is to create measurable business value from technological possibilities – from the initial idea to a scalable productive solution.

Responsibilities

  • Take outcome responsibility for complex and strategic customer engagements, working with executive, business, and technology stakeholders, and translating strategic goals and complex requirements into measurable outcomes and clear decisions.
  • Lead discovery, assessment, and solution shaping for demanding projects, prioritizing opportunities and ensuring that business ownership, success metrics, assumptions, and evidence form the basis for investment and implementation decisions.
  • Define the technological direction for AI, Generative AI, Data, Cloud, and Enterprise Architecture, manage prototypes and experiments, and evaluate solutions regarding security, Responsible AI, scalability, operational readiness, costs, and business value.
  • Orchestrate multidisciplinary teams and FDE experts from Engineering, Architecture, Product, Transformation, Delivery, and Operations, maintaining a shared outcome focus from the initial solution approach to adoption, scaling, and value realization.
  • Act as a trusted advisor and technical leader, constructively challenge decisions, ensure the quality of forward-deployed work, develop other FDEs through mentoring and coaching, and transfer experiences from customer projects into scalable methods, assets, and best practices.

Requirements

  • Typically possess 10+ years of relevant professional experience in AI or software engineering, solution architecture, consulting, customer engineering, product, technology delivery, or comparable fields, including extensive responsibility in demanding customer engagements.
  • Possess deep expertise in Enterprise Architecture, AI Engineering, Data, Integration, and Cloud, along with a broad understanding of Generative AI, agentic systems, RAG, automation, security, Responsible AI, and productive AI solutions.
  • Have demonstrably led complex enterprise engagements and can connect technical, economic, and organizational decisions with business value, risk, costs, time-to-value, adoption, and scalability.
  • Convince through executive communication and leadership, build trusting relationships with senior stakeholders, manage multidisciplinary teams even without formal authority, and have experience in mentoring, coaching, or technical quality assurance.
  • Combine strategic and commercial judgment with technical depth, act confidently even with high ambiguity, and hold a Bachelor's degree in Computer Science, IT, Engineering, Data Science, Business Technology, or a related field, or a comparable combination of education and extensive relevant professional experience.
  • Possess fluent German (min. C1) and very good English skills to confidently communicate complex topics, coordinate decisions, and guide customers through demanding technology projects.

Skills

  • AI
  • Software Engineering
  • Solution Architecture
  • Consulting
  • Customer Engineering
  • Product
  • Technology Delivery
  • Enterprise Architecture
  • AI Engineering
  • Data
  • Integration
  • Cloud
  • Generative AI
  • Agentic Systems
  • RAG
  • Automation
  • Security
  • Responsible AI
  • Executive Communication
  • Leadership
  • Mentoring
  • Coaching

Location

  • Germany
  • Austria
  • Switzerland

Work Type

  • Flexible working hours
  • Home-Office
  • Remote Work
  • Mobile working within the EU

Experience Level

  • 10+ years of relevant professional experience

Education Level

  • Bachelor's degree in Computer Science, IT, Engineering, Data Science, Business Technology, or a related field, or a comparable combination of education and extensive relevant professional experience.

Benefits

  • Flexible working hours with a flextime arrangement and travel time is working time
  • Home-office possibility as well as agreement with remuneration supplement including workplace equipment possible
  • 30 days of vacation, additionally December 24th and 31st are non-working days
  • Sabbatical up to one year possible
  • Remote work as well as mobile working within the EU possible
  • Attractive benefit and remuneration optimization programs: company pension scheme, JobRad, Jobticket, exclusive discounts via Corporate Benefits, and much more
  • Extensive health and care offers: extended sick pay, company medical officer support, accident insurance also for leisure accidents worldwide, family service
  • Internal and external further training opportunities in the NTT DATA Academy with technical training, certification offers, soft skills training, Udemy access
  • Diverse communities and initiatives (on Diversity, Equity & Inclusion, ESG, and more) with knowledge exchange at eye level
  • Team-oriented corporate culture with a lot of scope for design

About the Company

  • NTT DATA is a leading provider of enterprise and technology services, AI, and digital infrastructure with revenues exceeding $30 billion.
  • As a Global Top Employer, NTT DATA serves 75% of the Fortune Global 100 companies and develops innovative solutions with experts in over 70 countries, inspiring to dare new things and make successes visible.
  • In the DACH region, we are represented at 15 locations in Germany, Austria, and Switzerland.

Equal Opportunity

  • Diversity is an indispensable part of our success and corporate culture. Free from prejudice regarding gender, sexual orientation, age, ethnic and social origin, religion, or disability, we look forward to getting to know you.
  • People with severe disabilities are preferred in case of equal suitability.