Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Neotalent Conclusion in Lisbon is seeking an AI Lead Engineer to bridge technology and people, accelerating AI adoption across software engineering teams. You will shape how AI tools and agents are integrated into the SDLC and lead initiatives that improve developer productivity, quality, and collaboration.
This role offers remote possibilities, requires strong collaboration with engineering, product, architecture, security, and platform teams, and focuses on change management, training, and
Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.
We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.
With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.
Find out more about us at www.neotalentconclusion.com.
We are looking for an AI Lead Engineer to join our teams in a strategic international initiative focused on accelerating the adoption of Artificial Intelligence and AI Agents across Software Engineering organizations.
You will act as a bridge between technology and people, helping engineering teams evolve their Ways of Working throughout the Software Development Life Cycle.
You will identify opportunities where AI can create value, support the redesign of workflows, drive change management initiatives, and ensure teams successfully adopt new tools, practices, and operating models while measuring their impact on productivity, quality, and developer experience.