11 Job Postings
2025-07-17 - 2026-07-17
The common responsibilities for this position include leading the design and implementation of AI/ML solutions for clients, managing the entire process from problem definition to deployment and support. Collaborating with project teams and stakeholders to identify business challenges and define AI opportunities and solution roadmaps is essential. Establishing standards and best practices for AI and digital project delivery, overseeing technical architecture, and ensuring integration with existing systems are key duties. Additionally, driving experimentation and prototyping of AI use cases, maintaining solution quality through rigorous testing, and collaborating on go-to-market activities, proposals, and client presentations are required. Leading internal projects focused on AI agent design, training, and deployment, as well as assisting clients in adopting AI agents, are also part of the role. Identifying market and technology trends in intelligent manufacturing and developing strategies for these technologies, managing client engagement processes, and delivering projects successfully while ensuring customer satisfaction are crucial. Lastly, mentoring junior staff, broadening networks with industry stakeholders, and executing technology projects across various sectors are important responsibilities.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position