Software & AI Manager

Responsibilities

• Software Engineering Leadership
• Establish and maintain robust processes and documentation across the Software Product Lifecycle , from inception to retirement.
• Oversee the end-to-end application lifecycle -including requirements analysis, system design, development, testing, deployment, release, and post-launch support.
• Take ownership of critical technical components: UI/UX design , business logic, data access layers, external API integrations, and database schema design .
• Evaluate and recommend tools, frameworks, and methodologies to ensure product quality, scalability, and maintainability.
• Deliver production-ready software by writing clean, efficient, and well-documented code.
• Mentor and coach engineering teams in: Writing comprehensive unit and UI tests, troubleshooting, debugging, and performance optimisation, designing intuitive user interfaces and developing real-time and batch data processing systems
• Collaborate with Sales, Product, and Project teams to scope, prioritise, and deliver new features.
• Ensure both new and legacy systems adhere to quality, security, and compliance standards .
• Proactively research and propose new software products, tools, and architectural improvements.
• Maintain thorough technical documentation for sustainability and knowledge transfer.
• Keep abreast of emerging technologies and industry best practices.
• Recruit top talent and design individualised training and career development plans .
• AI/ML Strategy & Execution
• Design, develop, and optimise AI models, leveraging both open-source and proprietary resources .
• Build scalable AI solutions using cloud platforms (AWS/Azure/GCP), data pipelines, and modern databases.
• Implement and deploy NLP, LLMs, and other AI frameworks for real-world use cases.
• Architect and deliver RESTful APIs to expose AI capabilities to internal/external systems.
• Apply Retrieval-Augmented Generation (RAG) to improve relevance, accuracy, and trustworthiness of AI outputs.
• Practise advanced prompt engineering, including instruction tuning, templating, and fine-tuning strategies.
• Embed AI development within CI/CD pipelines , enforcing test-driven development and reproducible workflows.
• Conduct rigorous evaluation of models using appropriate metrics, benchmarks, and validation protocols .
• Continuously monitor advancements in AI/ML research and translate them into business value.
• Partner with stakeholders to convert business challenges into AI-powered solutions .
• Ensure seamless integration of AI components with existing software ecosystems.

Requirements

• Experience & Technical Background
• Bachelor's degree in Computer Science , Engineering, or a related field (Master's preferred).
• 10+ years of hands-on software development and leadership experience.
• Proven track record as a Team Lead or Tech Lead , managing end-to-end software projects.
• Strong domain experience in cybersecurity (especially European standards) , IP telephony , and data networking, ideally in a project or technical management capacity.
• Demonstrated portfolio of released mobile/web applications (App Store, Play Store, or enterprise deployments).
• Proficiency in multiple programming languages: Essential : SQL, Python, Strongly preferred : Node.js, TypeScript, C#, Java Mobile : Swift, Objective-C, Java (Android), plus hybrid frameworks (e.g., React Native, Flutter)
• Expertise in: SDLC & Agile methodologies, data modelling, and relational (RDBMS) & NoSQL database design, REST/SOAP API integration, Cloud-based AI/ML deployment (AWS/Azure/GCP) (a plus), ML frameworks (TensorFlow, PyTorch) (a plus)
• AI/ML Competencies
• Solid foundation in machine learning (supervised/unsupervised learning, neural networks, optimisation, evaluation metrics).
• Experience with data preprocessing, feature engineering, and SQL for AI pipelines .
• Deep understanding of algorithms, data structures, and their role in scalable ML systems.
• Familiarity with MLOps practices , including CI/CD for AI, model versioning, and monitoring.
• Soft Skills & Attributes
• Exceptional verbal and written communication, able to explain technical concepts to non-technical audiences.
• Strong organisational, multitasking, and prioritisation skills .
• Self-motivated, independent, and able to thrive with minimal supervision.
• Collaborative team player who can inspire, mentor, and align engineers toward shared goals.
• Adaptable under pressure, with a bias for action in fast-paced environments.
• Committed to lifelong learning and technology innovation.
• Willingness to travel as r

Additional Information

Job Summary We seek an experienced and forward-thinking Software & AI Manager to lead the design, development, and deployment of high-impact software and AI-driven solutions. This role requires a blend of hands-on technical leadership, strategic architecture oversight, and people management, driving excellence across the full software lifecycle while embedding AI/ML capabilities into core products and platforms.

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Company Intel

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