AI Mission Engineer

About the Role

We are seeking exceptional AI Mission Engineers tojoin our AI Mission Engineering Team – a specialized group of opportunityoriginators who discover, create, and drive AI transformationopportunities from problem identification through to measurable businessimpact.

As an AI Mission Engineer, you won't just implementtechnology – you'll own the entire journey. You'll work directly with clientsto uncover friction in their processes, create compelling business cases, leadproof-of-concepts, and stay engaged through execution to ensure adoption andvalue realization. You are the single point of contact who translates complexAI possibilities into tangible business outcomes.

What Makes a Mission Engineer

Mission Engineers are defined by three essential traits thatwork in concert: the ability to find the real problem (notjust the stated symptom), the drive of a change maker with high energy whobuilds trust and influences through ideas, and the skill of a technologytranslator who deconstructs complex AI concepts into clear,business-relevant insights. These individuals are hustlers with anentrepreneurial mindset—they work beyond traditional boundaries, demonstraterelentless grit and resourcefulness, and maintain an intense bias for action.They take end-to-end ownership from opportunity origination through valuerealization, creating burning platforms that drive urgency while serving as thesingle point of contact throughout the engagement. Mission Engineers questionthe status quo, zoom in on root causes, build strong relationships across allorganizational levels, and filter signal from noise to highlight what trulymatters to business leaders. They commit to outcomes, not just outputs—ensuringadoption and measurable impact as a promise to clients.

Key Responsibilities

• Opportunity Origination: Identify AI opportunities by deeply understanding client processes, pain points, and strategic objectives across your industry domain
• Problem Definition: Lead discovery sessions to define the real problem, not just the stated symptom
• Business Case Development: Create compelling burning platforms that articulate business value, ROI, and transformation potential
• Proof-of-Concept Leadership: Own POC/POV initiatives from scoping through execution, demonstrating tangible value
• Client Partnership: Serve as trusted advisor and single point of contact throughout the AI journey
• Adoption & Impact: Drive change management, user adoption, and measurable business outcomes – not just code delivery
• Cross-functional Collaboration: Work with AI Natives, AI Factory, AI Integration, and AI Institute teams to deliver end-to-end solutions
• Thought Leadership: Contribute to industry-specific AI strategies and share insights across the Mission Engineering community

Required Qualifications & Experience

Domain Expertise (Deep knowledge in one or more sectors)

• Defence
• Homeland Security
• Public Service
• Central Government
• Education
• Healthcare
• Transport
• Telco
• Financial Services
• Commercial

Professional Experience

• Relevant industry experience in consulting, business transformation, solution architecture, or client-facing technology roles
• Proven track record of identifying business problems and translating them into technology solutions
• Experience leading client engagements from opportunity identification through implementation
• Demonstrated ability to influence C-level and senior stakeholders
• Background in change management, adoption strategies, or transformation programs is highly valued

Technical Understanding

• Strong conceptual understanding of AI, machine learning, generative AI, agentic workflows, and analytics
• Ability to understand technical architectures (e.g., RAG, vector databases, LLMs) without needing to code
• Familiarity with AI use cases across knowledge retrieval, automation, copilots, and intelligent agents
• Understanding of data governance, AI safety, security, and responsible AI principles

Essential Competencies

• Communication Excellence: Ability to explain complex AI concepts to non-technical business leaders using clear, jargon-free language
• Problem-Solving: Root cause analysis, critical thinking, and structured problem decomposition
• Relationship Building: Establish trust and credibility quickly with diverse stakeholders
• Commercial Acumen: Understand business models, P&L impact, and ROI frameworks
• Resilience & Adaptability: Thrive in ambiguity, navigate setbacks, and maintain momentum

Why Join NCS as an AI Mission Engineer?

• Impact: Drive real transformation, not just technology deployment
• Ownership: End-to-end accountability from idea to measurable outcomes
• Community: Join a growing team of Mission Engineers across industries and corporate functions
• Innovation: Work with cutting-edge AI capabilities through NCS AI Central Teams
• Growth: Continuous learning, industry exposure, and leadership development opportunities
• Purpose: Build a better future by helping clients solve meaningful problems