The Role
As an AI Solution Developer you will serve as the technical explorer and hands-on builder within the AI Value Lab. You will rapidly translate business opportunities into proof-of-concepts, prototypes, AI agents, automations and scalable solutions that improve how people work and make decisions. You will work closely with business stakeholders, Data & AI specialists, AI Ambassadors, developers and technology teams to identify opportunities, test emerging technologies and transform successful experiments into reliable business solutions. The role requires a balance between technical curiosity, practical problem solving, experimentation, business understanding and solution delivery.
Key Responsibilities
- Build AI Solutions Translate business challenges into Proof of Concepts (PoCs), prototypes and Minimum Viable Products (MVPs). Design, develop and maintain AI-powered applications, copilots, intelligent agents and automation solutions. Build solutions using Microsoft Copilot Studio, Power Platform, Azure AI Services and related technologies. Create integrations between AI solutions, business systems, APIs and data sources. Support the transition of successful prototypes into production-ready business solutions. Continuously improve solution performance, reliability and user experience.
- Explore & Experiment Evaluate emerging AI models, tools, frameworks and technologies. Test new development approaches including GitHub Copilot, Claude Code, OpenAI Codex and similar platforms. Experiment with prompt engineering, agent orchestration, workflow automation and knowledge integration. Identify innovative AI use cases and opportunities across the business. Contribute to the development of AI best practices, standards and methodologies.
- Collaborate & Enable Adoption Work directly with business stakeholders to understand challenges and opportunities. Communicate technical concepts clearly to both technical and non-technical audiences. Create demonstrations, training materials and documentation to support adoption. Support the measurement and monitoring of business value generated by AI initiatives. Promote responsible, secure and governed use of AI technologies.
What We’re Looking For
Experience
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Business Analytics, Digital Innovation or a related field. 3-6 years of experience in solution development, automation, software engineering, business applications or digital transformation. At least 2 years of hands-on experience working with AI technologies or AI-enabled solutions. Experience delivering business applications, automation solutions or digital products in a professional environment. Experience collaborating with business stakeholders to solve complex business problems. Experience working in fast-moving, innovation-focused environments is highly desirable.
Technical Expertise
- Microsoft Copilot Studio, Power Platform and Power Automate
- Azure AI Services
- AI Agents and Agent Orchestration
- Prompt Engineering
- GitHub Copilot, Claude Code, OpenAI Codex or similar AI-assisted development platforms
- Python, JavaScript or similar scripting languages
- APIs, Connectors and Systems Integration
- Workflow Automation
- Business Application Development
- AI Solution Design and Prototyping
Personal Attributes
- Naturally curious about Artificial Intelligence and emerging technologies
- Strong analytical and problem-solving skills
- Hands-on builder with a passion for experimenting and learning
- Comfortable working with ambiguity and rapidly evolving technologies
- Entrepreneurial mindset with a bias towards action
- Strong communicator who can bridge business and technology
- Results-oriented and focused on delivering measurable business value
- Continuously learning and exploring new tools, models and techniques
- Thrives in environments where innovation, ownership and initiative are encouraged