• Lead the design, development, and deployment of AI and machine learning solutions to optimize business processes and enhance products and services (30%) • Build, mentor, and manage a high-performing team of AI engineers, ML Ops Engineers, and Researchers (20%) • Collaborate in developing and implementing the overall AI strategy, roadmap, and governance for the organization (10%) • Collaborate with executive leadership and business units to identify opportunities for AI-driven innovation and efficiency (10%) • Oversee the selection and integration of AI technologies and platforms, ensuring scalability, reliability, and security (10%) • Help establish ethical guidelines and best practices for responsible AI development and deployment (5%) • Monitor emerging trends, technologies, and regulatory developments in AI and assess their impact on the organization (5%) • Manage partnerships with academic institutions, industry leaders, and technology vendors to advance the organization’s AI capabilities (5%) • Drive thought leadership through presentations, publications, and participation in industry forums (5%)

• Develop and execute Robotiq’s Physical AI business development strategy across the AME region • Identify, prioritize, and develop relationships with high-potential organizations in AI, robotics, simulation, and humanoid robotics • Generate, qualify, and advance strategic opportunities within targeted accounts • Understand customer development environments and identify how Robotiq solutions can support robotic manipulation, experimentation, data quality, flexibility, and deployment • Engage technical and business stakeholders through consultative and value-driven conversations • Maintain strong CRM discipline, opportunity documentation, and forecast visibility • Work cross-functionally with marketing, applications, product management, and leadership to strengthen Robotiq’s positioning within the Physical AI ecosystem • Contribute market insights, customer feedback, and competitive intelligence to help refine Robotiq’s strategy and targeting approach • Represent Robotiq within key technical and innovation communities through events, partnerships, and ecosystem engagement

• Conduct side-by-side comparisons of AI responses and rate their quality on a 1–5 scale based on established guidelines. • Design scenario-based and edge-case prompts to evaluate model behavior, including tricky, ambiguous, or incomplete information situations. • Assess outputs for instruction adherence, factual accuracy, tone, safety, and overall usefulness. • Develop clear evaluation rubrics and criteria to ensure consistent scoring across tasks. • Create reliable reference materials (articles, transcripts, reports, etc.) to serve as the source of truth for testing. • Write well-structured “gold standard” responses that demonstrate the most accurate and helpful answer. • Identify potential issues such as hallucinations, inconsistencies, or cultural/contextual mismatches.

• Conduct side-by-side comparisons of AI responses and rate their quality on a 1–5 scale based on established guidelines. • Design scenario-based and edge-case prompts to evaluate model behavior, including tricky, ambiguous, or incomplete information situations. • Assess outputs for instruction adherence, factual accuracy, tone, safety, and overall usefulness. • Develop clear evaluation rubrics and criteria to ensure consistent scoring across tasks. • Create reliable reference materials (articles, transcripts, reports, etc.) to serve as the source of truth for testing. • Write well-structured “gold standard” responses that demonstrate the most accurate and helpful answer. • Identify potential issues such as hallucinations, inconsistencies, or cultural/contextual mismatches.