Project Leader – AI Powered Quality to accelerate the development and deployment of Artificial Intelligence solutions across MDRF product group Quality & Reliability activities.
Locations (2)
Agrate, Italy, Italy
Grenoble, France, France
Responsibilities
Develop and evaluate AI-based solutions (Generative AI, Machine Learning, AI Agents).
Lead pilot projects from ideation to deployment.
Gather business requirements and translate them into technical solutions.
Coordinate cross-functional stakeholders and drive adoption.
Measure impact through productivity, quality, and cycle-time improvements.
Requirements
Master's degree in AI, Data Science, Computer Science, Engineering, or equivalent
Coordinate change management process for all products under the Industrial controls and protection division portfolio and provide guidance on PLM related topics.
Responsibilities
Coordinate change management process for all products under the Industrial controls and protection division portfolio
Provide guidance to the team on various PLM related topics
Monitor, keep track and push all Change Requests / Change Orders through the whole lifecycle
Report status of Change Management Items regularly to management
Organize, prepare and host sessions for CR Reviews & Change Control Board (CCB) Reviews
Perform first‑time integration and functionality checkouts for new or updated air vehicle and mission system capabilities.
Utilize systems engineering products and principles to derive test conditions, configurations, actions, expected results, and success criteria for system under test.
Plan, develop, update, dry run, execute, and brief formal test procedures in a lab environment in support of software certification.
Perform post‑test analysis of recorded data to support pass or fail disposition for test steps and procedures.
Document and support investigation, analysis, path‑forward, and retest efforts for test defects and anomalies.
Requirements
Bachelor’s degree in a STEM discipline (Science, Technology, Engineering, Math)
Master’s or higher degree in a STEM discipline
Nice to have: Strike Program Access
Nice to have: test engineering experience in hardware, software, laboratory, specialty, ground, or flight test
Nice to have: design, build, operation, or maintenance of aircraft or subsystems
Lead a multidisciplinary engineering team to deliver AI‑forward, production‑ready solutions for global customers.
Compensation
Software Engineering M5 - The typical base pay range for this role across United Kingdom is £ 93,500.00 - £ 161,800.00 per year.
Responsibilities
Lead a multidisciplinary engineering team, owning a portfolio of work to maximize customer and Microsoft value through strong portfolio and delivery leadership.
Provide clear coaching, career development, and performance support for engineers across software engineering, technical program management, and data science, fostering growth in a multidisciplinary environment.
Serve as a player‑coach by taking on selected engagements, modeling engineering fundamentals, customer‑obsessed execution, and inclusive, cross‑discipline collaboration.
Partner with leadership and discipline managers to ensure healthy team rhythms and strong operational excellence across engagements.
Contribute to a culture of continuous learning by elevating engineering practices, sharing reusable patterns and accelerators, and strengthening our multidisciplinary operating model.
What you’ll do:
The main focus will be development of 3D models and 2D drawings of components , sub-assemblies and assemblies to support NPI , Sustaining and NTI projects. Mentoring new PLC team membor for Enovia and PLC work. Drive automations and AI mindset in the team.
"1. Must have good understanding of mechanical engg concepts and CAD drawings + 3D models of electrical and mechanical components.
2. Good knowledge of CAD tools - UG NX, Creo parametric, Solidworks, Creo direct and PLM system (Enovia and SAP)
3. Will be working along with product engineers to understand the design process, translate that into project proposals and implement to improve productivity
4. Will be required to achieve tangaible outcome within the stiplulated time and with high quality
5. Will be responsible for driving AI and automation mindset across cross functional teams
6. Will be responsible for design and development, DFMEA, Prototype building, and Testing activities for small components for NPD Products and projects.
7. Basic knowledge of languages - python, VBA"
Qualifications:
B.E. Mechancial/ Electrical
3 to 5
Skills:
"1. Experience in electro-mechanical product design and manufacturing processes.
2. Hands on experience on any CAD software, should have worked on parametric modeling, drawing detailing & assembly build up (UGNX/Solidworks/Creo Parametric software experience).
3. Understanding of any Product lifecycle management tool like Enovia and SAP (Enovia exp. is desirable)
4. Understanding of automations, AI-powered tools and algorithms
5. Experience in plastic part & sheet metal part design. Awareness of plastic part, sheet metal manufacturing processes.
6. Concept building & Design thinking, collaboration with cross-functional teams
"
Creating technical proposals, stakeholder communication, process definition, Willingness to learn, good presentation skills
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