Contribute toward AI roadmap for AI-driven automation aligning with strategic company and client goals.
Collaborate with engineering and data teams to design and architect scalable, robust, and innovative AI solutions (e.g., automated network diagnostics, bot recommendation systems, AI agents NOC operations).
Act as the Solution Owner in an Agile/Scrum environment, managing the product backlog, writing detailed user stories, defining acceptance criteria, and prioritizing features.
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You have 7+ years of software engineering experience: At least 3 years building production AI systems. Not prototypes - systems that handle real traffic at scale.
You’ve shipped production AI: Not notebooks. Not demos. Systems that handle real traffic, break in unexpected ways, and teach you things papers didn't mention.
You operate across paradigms: You are comfortable with SQL and with prompt engineering. You pick the right tool, not your favourite tool.
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Create the AI Strategy - Figure out where AI can help the most. Translate company AI roadmap into actionable initiatives across short, medium, and long-term horizons.
Focus on high-value automation use cases (e.g. HR ops, finance ops, supply chain) that replace external spend and deliver immediate ROI.
Drive AI adoption in alignment with the overall digital transformation roadmap, working collaboratively with the Head of Digital Transformation.
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Conduct regular needs assessments across departments (sales, retail operations, finance, HR, marketing) to identify gaps that software, systems, or AI tools could solve.
Research, shortlist, and critically evaluate SaaS platforms, enterprise systems, and AI tools against business requirements, cost, scalability, and integration feasibility.
Run structured pilots or proof-of-concepts before full rollout, with clear success metrics.
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Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded.
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DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations — helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry-Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates. Learn more on dxc.com .
Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded.
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AI Workforce Automation, AI Forecasting and AI Chatbots designs tailor-made AI applications and infrastructure that help businesses achieve measurable results and competitive advantage. The team of AI specialists delivers bespoke solutions across domains such as machine learning, data analytics, digital transformation, and AI-driven business applications. MindHive’s work spans optimizing operations, improving customer experiences, and enabling organizations to harness data for strategic decision-making. As active thought leaders, the company regularly shares insights on emerging AI trends, keeping clients informed and prepared for the future of work.
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Deliver lectures, tutorials, practical sessions and other teaching and learning activities in Artificial Intelligence and related areas at undergraduate and postgraduate levels.
Develop, review and enhance curriculum, course content, teaching materials and assessments to ensure academic quality and relevance to current technological and industry developments.
Supervise undergraduate and postgraduate projects, research, dissertations and/or theses, where applicable.
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