Jobs / Sweden / Hykmann Global Business Solutions AB
Hykmann Global Business Solutions AB
AI Adoption & Artificial Intelligence Specialist Defense
Sweden
Posted today
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LLMsA/B testingProduct management
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About the role
🚀 We’re Hiring: AI Adoption & Optimisation Specialist – Software Development (PRO4)Company: Hykmann Global Business Solutions ABDomain: Generative AI | AI-Assisted Software Development | Software EngineeringAre you passionate about leveraging Generative AI to transform software development, improve engineering productivity, and establish effective AI-driven development practices?Hykmann Global Business Solutions AB is looking for an experienced AI Adoption & Optimisation Specialist to help an organisation developing safety-critical air traffic management systems maximise the benefits of AI-assisted software development.About the RoleThe organisation has already introduced Generative AI tools, primarily GitHub Copilot, across approximately 100 developers working at multiple locations. However, AI adoption, utilisation, and practical experience vary significantly between teams and individuals.The objective is to identify how AI can deliver measurable improvements in productivity, software quality, and engineering efficiency while maintaining security, competence, and cost-effectiveness.You will assess current AI adoption, establish performance indicators, identify optimisation opportunities, and recommend effective approaches to integrating AI throughout the software development lifecycle.Key Responsibilities1. AI Adoption & Current-State Assessment Analyse existing usage of GitHub Copilot, LLMs, and other AI development tools. Identify differences in AI adoption and utilisation across teams. Understand low, average, and high AI consumption patterns. Evaluate the effectiveness and business value of existing AI solutions. Identify opportunities to improve adoption and engineering efficiency.2. KPIs & Performance Measurement Define KPIs for AI adoption, utilisation, cost, and productivity. Establish baseline measurements and performance indicators. Distinguish productive AI usage from inefficient token consumption. Develop methods to measure improvements in development productivity, quality, and ROI.3. AI-Assisted Software Development Optimisation Recommend effective AI practices across the software development lifecycle. Optimise context management, prompt engineering, model selection, and agentic workflows. Recommend suitable configurations and instructions for AI agents. Evaluate existing tools and identify alternative or complementary solutions. Balance productivity, quality, security, cost, and technical requirements.4. Training & Competence Development Identify teams with low AI adoption and understand their challenges. Conduct practical workshops, coaching, and training for developers and technical leaders. Encourage knowledge sharing between experienced and less experienced AI users. Develop internal expertise and promote consistent AI-assisted engineering practices.5. Governance & Continuous Improvement Establish methods for monitoring AI usage and performance. Recommend governance practices for AI-assisted development. Support experimentation, feedback, and continuous optimisation. Develop sustainable practices that adapt to evolving AI technologies and models.Expected Deliverables Current-state assessment of AI adoption and utilisation. Defined KPIs, measurement methods, and performance baselines. Evaluation of existing AI tools and alternative solutions. Recommendations for optimising AI-assisted software development. User-group segmentation based on AI adoption and usage patterns. Targeted improvement strategies for different user groups. Training materials, workshops, and coaching activities. AI governance and continuous monitoring recommendations. Final report with prioritised recommendations and implementation roadmap.Required Skills & ExperienceWe are looking for an experienced AI specialist, consultant, or expert te