Deskripsi Pekerjaan
Join Luxoft as an AI-Native Engineering Lead and transform how engineering teams leverage artificial intelligence to accelerate innovation and productivity. In this pivotal role, you'll architect cutting-edge AI-driven solutions while mentoring top-tier engineers to establish industry best practices. You'll spearhead the integration of AI technologies into engineering workflows, automating repetitive tasks and optimizing development lifecycles. Your leadership will shape the future of software development by fostering a culture of continuous learning and experimentation with emerging AI tools. Collaborate closely with product managers and data scientists to align technical strategies with business objectives, ensuring our engineering capabilities remain at the forefront of technological advancement. This position offers the unique opportunity to build and lead a high-performing engineering chapter that pioneers AI-first methodologies.
Tanggung Jawab
- Lead and mentor an engineering chapter, driving technical excellence and professional development
- Design and implement AI-powered solutions to enhance engineering productivity and workflow automation
- Establish and enforce software architecture best practices across engineering teams
- Champion the adoption of AI/ML technologies in development processes and tooling
- Collaborate with cross-functional teams to align engineering initiatives with business goals
- Drive continuous improvement through AI-driven analytics and process optimization
- Stay current with emerging AI technologies and evaluate their potential engineering applications
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
- 8+ years of software engineering experience with 3+ years in leadership roles
- Proven expertise in AI/ML technologies and their practical implementation in engineering contexts
- Strong background in software architecture and modern development methodologies
- Exceptional leadership skills with experience mentoring engineering teams
- Demonstrated ability to translate business requirements into technical strategies
- Experience with AI productivity tools and automation platforms (e.g., GitHub Copilot, AI-assisted testing)