Senior Forward Deployed AI Engineer

Posted 6 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Information Technology • Business Intelligence • Consulting
The Role
Embed with enterprise clients to architect, prototype, and deploy agentic multi-agent AI systems and RAG workflows. Re-engineer business processes into human-in-the-loop and autonomous AI workers, integrate cloud, data pipelines, and frontier LLMs, and advise executives on rollout and risk-managed adoption.
Summary Generated by Built In

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

NTT DATA Australia is inviting expressions of interest for the role of Forward Deployed AI Engineer (FDE) – Agentic Workforce Transformation to sit at the dynamic intersection of advanced artificial intelligence, enterprise architecture, and organizational change. In this hands-on, client-facing role, you will embed directly within client environments to architect, build, and deploy agentic AI workflows and autonomous digital workers. You will help top-tier Australian enterprises evolve from traditional automation to dynamic, multi-agent systems that redefine how work gets done.

Because agentic AI is rapidly evolving, adaptability is your defining attribute. Whether your foundation is in Cloud Engineering, Data & Analytics, Applied AI, or Management Consulting, you bring a multi-disciplinary mindset, continuous curiosity, and the execution muscle required to turn emerging tech into tangible business outcomes.

Key Responsibilities

  • Embed & Execute: Operate in embedded, cross-functional client teams to identify high-value operational bottlenecks and prototype, test, and deploy production-grade agentic AI solutions.
  • Architect Agentic Systems: Design and implement multi-agent frameworks, task orchestration pipelines, retrieval-augmented generation (RAG) architectures, and tool-augmented LLM workflows.
  • Workforce & Process Transformation: Map, decompose, and re-engineer complex business workflows into collaborative human-in-the-loop and fully autonomous AI worker roles.
  • Technical Orchestration: Bridge cloud infrastructure, enterprise data pipelines, and frontier AI models (OpenAI, Anthropic, Gemini, open-source LLMs) with secure API integrations.
  • Consultative Leadership: Function as a trusted advisor to C-suite and technology stakeholders, translating complex AI concepts into clear business cases and risk-managed rollout strategies.
  • Rapid Adaptation: Rapidly evaluate, adopt, and integrate emerging frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel) as the agentic ecosystem matures.

Qualifications & Key Skill Sets

We value multi-disciplinary backgrounds over a single rigid career path. You will stand out if you combine a strong core discipline with broad technical agility:

Core Requirements

  • Agentic AI & LLM Mastery: Practical understanding of LLM capabilities, prompt engineering, agentic orchestration, tool/API usage, memory management, and evaluation frameworks.
  • High Adaptability: Demonstrated track record of quickly mastering new technologies, switching domains, and solving ambiguous, unstructured problems in fast-paced environments.
  • Client-Facing Communication: Exceptional ability to articulate technical tradeoffs, build consensus with executive leadership, and guide organizations through technological disruption.

Desirable Background/Experience (One or more of the following):

  • AI / ML Background: Experience fine-tuning models, building RAG systems, vector database management, and deploying production ML pipelines.
  • Data Engineering Background: Expertise in modern data stacks, ETL/ELT pipelines, real-time data streaming, and enterprise data governance.
  • Cloud & DevOps Background: Strong foundation in cloud-native design (AWS, Azure, or GCP), serverless architectures, microservices, containerization, and CI/CD pipelines.
  • Consulting & Strategy Background: Proven experience in management/technology consulting, process re-engineering, target operating model (TOM) design, and enterprise change management.

Why NTT DATA?

At NTT DATA Australia, you will be at the forefront of the generative and agentic AI shift, leveraging global R&D strength while delivering agile, high-impact transformations locally. We offer a culture driven by continuous learning, autonomy, and cross-domain innovation.

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.


Third parties fraudulently posing as NTT DATA recruiters 

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Skills Required

  • Practical understanding of LLM capabilities, prompt engineering, agentic orchestration, tool/API usage, memory management, and evaluation frameworks
  • Demonstrated ability to rapidly master new technologies and solve ambiguous, unstructured problems
  • Exceptional client-facing communication and ability to advise C-suite and stakeholders
  • Experience fine-tuning models, building RAG systems, and vector database management
  • Experience with modern data stacks, ETL/ELT, real-time data streaming, and data governance
  • Cloud-native design experience (AWS, Azure, or GCP), serverless, microservices, containerization, and CI/CD
  • Management/technology consulting, process re-engineering, target operating model design, or enterprise change management experience

NTT DATA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NTT DATA and has not been reviewed or approved by NTT DATA.

  • Fair & Transparent Compensation Feedback suggests salary bands and grades are clearly defined, making ranges and promotion criteria easier to understand. Standardized HR processes provide visibility into levels across common delivery roles.
  • Healthcare Strength Feedback suggests the package includes comprehensive medical, dental, and vision options with HSA/FSA eligibility. Global materials emphasize comprehensive insurance and wellbeing as baseline offerings across regions.
  • Wellbeing & Lifestyle Benefits Flexible work options, including remote/hybrid arrangements, are highlighted as core benefits and can support work–life balance. Some delivery teams report more manageable hours than strategy consultancies, improving perceived value for time.

NTT DATA Insights

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The Company
HQ: Tokyo
55,092 Employees
Year Founded: 1988

What We Do

NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity

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