Forward Deployed Engineer at NICE

, , Australia -

Full Time

Start Date

Immediate

Expiry Date

30 Jul, 26

Salary

0.0

Posted On

01 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full-stack engineering, AI agent development, Conversational AI, RAG pipelines, Prompt engineering, React, TypeScript, Go, API integration, Solution architecture, Customer engagement, Automation, Technical problem-solving, Generative development, Enterprise systems

Industry

Software Development

Description

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? A NiCE AI Forward Deployed Engineer is a highly technical full-stack engineer responsible for designing, building, and deploying AI-driven customer engagement solutions using the NiCE digital and AI portfolio. This role sits at the intersection of software engineering, AI agent development, and customer solution architecture. The engineer works directly with customers and internal stakeholders to translate complex business challenges into intelligent automation solutions across voice and digital channels. The AI Forward Deployed Engineer will design, prototype, and operationalize AI agents that integrate with enterprise systems and deliver scalable customer self-service experiences powered by intelligent virtual agents, knowledge management, and omnichannel engagement capabilities. This role requires deep technical expertise across full-stack development, AI agent architectures, APIs, integrations, and conversational automation, combined with the ability to collaborate directly with customers and business leaders. You'll architect and deliver production-ready conversational AI agents that sit at the core of the business and directly fuel company growth. These are live, scalable agentic AI systems, not experiments or proof-of-concepts, operating across sectors like financial services, healthcare, and commerce. You'll have full ownership of the entire AI agent lifecycle, steering projects from early pilot through launch and ongoing refinement. You'll collaborate directly with decision-makers at the world’s leading enterprises to tackle their highest-priority challenges with agentic AI. The patterns and problems you encounter in the field will feed directly into the evolution of the platform, tools, and product roadmap. How will you make an impact? Develop agentic systems (agents) for large-scale companies that measurably outperform human operators in areas like retention and churn reduction. Build agents that handle nuanced, integrated customer interactions, across a range of CX transforming use cases. Design reusable agent frameworks adapted to the specific demands of different industries. Drive design partnerships around new product directions, including agent architectures, self-service features, and generative development workflows. Push the boundaries with emerging voice models and pioneer their integration into enterprise-grade deployments. Set the standard for how AI agents are constructed, evaluated, and improved in live production settings. Have you got what it takes? Education & Background Hands-on experience building and operating end-to-end production systems at scale. With a natural builder's mentality with high personal agency, you default to finding solutions and shipping them. Startup founder or early engineer experience is highly valued, you understand the tradeoffs between speed, quality, and ownership. AI & Technology Expertise Proven technical problem-solving ability, particularly in rapidly shifting, loosely defined environments. Experience developing or operating AI/LLM-powered systems in production is a major plus. Working knowledge of the current AI agent toolkit: evaluation frameworks, orchestration tooling, RAG pipelines, and prompt engineering. Familiarity with React, TypeScript, and/or Go is an advantage. CX & Industry Knowledge At ease working face-to-face with customers to unpack their problems and deliver practical solutions. Prior experience in customer-facing or externally-led technical roles is a plus. Strategic & Communication Skills A clear, direct communicator who can be equally persuasive with engineers and executives. Comfortable operating in ambiguity and making forward progress without waiting for complete clarity. Able to balance competing priorities and drive alignment across technical and business teams. What's in it for you? Build AI agents that run in production at meaningful scale, not slideware or research exercises. Work shoulder-to-shoulder with leaders at globally recognized enterprises and high-growth startups. Directly influence the direction of NiCE's AI agent platform through the real problems you solve. Operate with genuine autonomy and end-to-end ownership across the agent lifecycle. Work at the cutting edge of AI agent development with access to the latest models, infrastructure, and research. Requisition ID: 10742 Reporting into: Vice President, NiCE Agentic AI Transformation Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Responsibilities

Design, build, and deploy AI-driven customer engagement solutions by integrating conversational agents with enterprise systems. Collaborate directly with customers to translate complex business challenges into scalable, production-ready intelligent automation.