Make an impact with NTT DATA
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NTT DATA is seeking a Senior Forward Deployment Engineer to partner with enterprise customers across Australia and New Zealand, designing and delivering innovative AI solutions.

The Senior Forward Deployment Engineer acts as a trusted technical advisor and hands-on engineer, working directly with customer stakeholders to turn business challenges into production-ready AI solutions. This role combines Generative AI, cloud engineering, enterprise integrations, and customer-facing consulting to accelerate AI adoption and business transformation.​

Key Responsibilities

• Engage directly with customers to understand business requirements and translate them into scalable AI and cloud solutions.
• Design, build, and deploy Generative AI applications using Gemini, Vertex AI, and Google Cloud services.
• Develop AI agents, Retrieval-Augmented Generation (RAG) solutions, and enterprise knowledge platforms.
• Build integrations between AI solutions and enterprise data, APIs, business applications, and cloud platforms.
• Deliver cloud-native applications leveraging modern engineering practices, containers, and microservices.
• Establish observability, monitoring, governance, and operational best practices for AI workloads.
• Lead technical workshops, architecture discussions, proof-of-concepts, and customer demonstrations.
• Collaborate with architects, data engineers, software engineers, and business stakeholders to ensure successful solution delivery.
• Mentor engineers and contribute to reusable assets, accelerators, and best practices.

Required Skills & Experience

• Strong experience delivering customer-facing technology solutions within enterprise environments.
• Hands-on experience with Google Cloud Platform (GCP) and modern cloud architectures.
• Experience building Generative AI solutions using LLMs such as Gemini, Claude, GPT, or similar models.
• Knowledge of AI agents, RAG, vector search, prompt engineering, and AI orchestration frameworks.
• Software engineering experience with Python and API-based integrations.
• Experience with containers, Kubernetes, CI/CD, Infrastructure as Code (Terraform), and DevOps practices.
• Understanding of enterprise security, governance, and operational requirements.
• Excellent stakeholder management and communication skills with both technical and business audiences.

Preferred Qualifications

• Google Cloud certifications in Cloud Architecture, Data Engineering, or Machine Learning.
• Experience with Vertex AI, BigQuery, Cloud Run, GKE, and related Google Cloud services.
• Experience working in consulting, professional services, solution engineering, or forward deployment engineering roles.
• Exposure to multi-cloud environments including AWS and Azure

Workplace type:

About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune

Global 100. We are committed to accelerating client success and positively impacting society through

responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with

unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and

application services. Our consulting and industry solutions help organizations and society move

confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more

than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each

year in R&D.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

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