Data Science Lead - R01562061
About Brillio
Born digital in 2014, Brillio is a powerhouse of digital transformations. Orchestrated around the superpowers of technology – Cloud, AI, Mobile, IoT, we are a partner of choice for leading companies around the world, helping them leverage digital technologies. We have a global workforce of 6000+ people present in 15 locations across 6 countries – USA, Canada, Mexico, UK, Romania, and India. We have been consistently certified by Great Place To Work® institute in USA, India, UK, and Romania for our strong foundational values and employee-centric culture.
Brillio Romania
We are a dynamic and rapidly growing company with over 250 colleagues country wide and offices in Cluj, Oradea and Bucharest. With its fast-paced growth, the company has consistently demonstrated an unwavering commitment to client satisfaction.
At Brillio Romania, we know our success comes from the innovative contributions and brilliant work of our people. So, we make fostering a positive work environment our top priority. Our colleagues not only thrive, but they also have the chance to build long and fulfilling careers, fostering a sense of stability and dedication that ultimately benefits both the company and our valued clients.
Accelerate YOU at Brillio!!
Role Overview
We are seeking highly capable AI Acceleration Engineers to drive the adoption and industrialisation of AI tooling (GitHub Copilot, prompt engineering, agent workflows) across multiple engineering teams.
This is not a pure development role and not a pure AI research role. It is a hybrid position requiring hands-on AI capability building combined with direct engagement inside Scrum teams to accelerate SDLC productivity using AI.
You will work alongside Microsoft AI specialists to build prompts, agents and workflows — while also embedding within engineering squads to ensure AI tooling is used effectively, correctly, and consistently.
Role Overview
We are seeking highly capable AI Acceleration Engineers to drive the adoption and industrialisation of AI tooling (GitHub Copilot, prompt engineering, agent workflows) across multiple engineering teams.
This is not a pure development role and not a pure AI research role. It is a hybrid position requiring hands-on AI capability building combined with direct engagement inside Scrum teams to accelerate SDLC productivity using AI.
You will work alongside Microsoft AI specialists to build prompts, agents and workflows — while also embedding within engineering squads to ensure AI tooling is used effectively, correctly, and consistently.
Perks and Benefits
· We value your time and lifestyle preferences, so you can choose whether you want to work entirely remotely or from our offices in Cluj-Napoca, Oradea and Bucharest.
· Access to learning through our internal platform - Percipio.
· Private health insurance is provided by Medicover.
· Work from home fixed monthly budget.
· A monthly budget you can use to purchase flexible benefits through the Edenred Benefit platform.
· Sports benefit: We encourage you to have a healthy lifestyle. We'll reimburse you within budget for your favorite sporting activity: whether it's football, climbing, gym or other sports.
Take the next step with Brillio. Accelerate What Matters. Be a Catalyst for Tomorrow. Be a Brillian!
Key Responsibilities
- AI Tooling & Agent Development
• Design and refine advanced prompts for GitHub Copilot and LLM-based workflows
• Build AI agents and automation workflows to accelerate development tasks
• Optimise context window management, plan mode vs agent mode usage, and prompt structuring
• Collaborate directly with Microsoft AI engineers to enhance tooling capabilities
• Rapidly prototype and iterate AI-driven SDLC accelerators - AI Adoption & Engineering Enablement
• Embed within multiple Scrum teams to review AI-generated code and specifications
• Challenge and improve prompt usage and drive best practice adoption
• Coach engineers in effective AI-assisted development
• Identify gaps in AI outputs and improve workflows accordingly
• Influence cultural change in AI adoption across global teams
Required Skills & Experience
Experience Level
