About the role
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. Around 12-18+ years in Engineering Management, Program Management, AI Transformation, or Digital Engineering Lead end-to-end delivery of Agentic AI programs across multiple business domains. Manage program scope, timelines, budgets, risks, dependencies, and stakeholder expectations. Establish scalable delivery frameworks for AI-native and autonomous workflows. Drive Agile / SAFe delivery practices for AI transformation initiatives. Ensure successful deployment, adoption, and continuous optimization of AI agents. Bachelor's or Master's degree in Computer Science, Engineering, Business, or related field. 12-18+ years of experience in Engineering Management, Digital Transformation, or Program Management along with AI Transformation. 3+ years of experience in AI/ML, Intelligent Automation, or Generative AI programs. Strong understanding of: Agile Methodologies (SAFE, Spotify) DevOps Generative AI LLM ecosystems Agentic workflows AI orchestration frameworks Enterprise AI platforms Experience delivering cloud-native solutions on Azure, AWS, or GCP. Strong stakeholder management and executive communication skills. Experience leading globally distributed teams. Experience with: Microsoft Copilot Studio Azure AI Services OpenAI / Azure OpenAI LangChain / Semantic Kernel Power Platform AI observability tools Knowledge of: RAG architectures Multi-agent frameworks AI governance models Prompt engineering MLOps / LLMOps Certifications preferred: SAFe Agilist Agentic AI certification (Claude or equivalent) Microsoft AI certifications Azure Solutions Architect Strategic Thinking AI Delivery Leadership Stakeholder Management Innovation Mindset Risk & Governance Management Enterprise Transformation Data-Driven Decision Making Cross-functional Collaboration Change Leadership Collaborate with AI architects, data scientists, prompt engineers, and platform teams. Ensure responsible AI, governance, explainability, transparency, and compliance standards. Provide executive-level program reporting,value realization metrics, and strategic recommendations. Establish AI governance frameworks including: Ensure alignment with enterprise architecture and compliance standards. Build reusable delivery of accelerators, templates, and AI operational playbooks. Improved business productivity and user adoption Delivery predictability and governance compliance