Senior Forward Deployed AI Engineer
Make an impact with NTT DATAJoin 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 ResponsibilitiesEmbed & 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 SetsWe 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 RequirementsAgentic 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, b...