Agentic Engineering Manager

Role Title Agentic Engineering Manager Location Hybrid Experience Around 12-18 years in Engineering Management, Program Management, AI Transformation, or Digital Engineering Role Summary We are seeking an experienced and forward-thinking Agentic Engineering Manager to lead the delivery and operationalization of AI-powered autonomous and semi-autonomous business solutions. This role combines traditional delivery leadership with emerging capabilities in Agentic AI systems, orchestration frameworks, intelligent automation, Copilot ecosystems, and enterprise transformation . The ideal candidate will drive end-to-end Agile based execution of AI-enabled programs involving autonomous agents, LLM-based workflows, human-in-the-loop systems, and enterprise integration platforms while ensuring governance, scalability, compliance, and measurable business outcomes.   Key Responsibilities Delivery Leadership
- 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 s uccessful deployment, adoption, and continuous optimization of AI agents.
Agentic AI Program Management
- Orchestrate implementation of AI agents, copilots, autonomous workflows, and orchestration platforms.
- Collaborate with AI architects, data scientists, prompt engineers, and platform teams.
- Define execution models for human-agent collaboration and escalation workflows.
- Ensure responsible AI, governance, explainability, transparency, and compliance standards.
Stakeholder & Business Engagement
- Partner with business leaders to identify a utomation and intelligence opportunities.
- Translate business requirements into scalable AI-driven delivery roadmaps.
- Provide executive-level program reporting,value realization metrics , and strategic recommendations .
- Drive change management and user adoption for AI-enabled operating models.
Governance & Risk Management
- Establish AI governance frameworks including:
- Data privacy
- Security
- Ethical AI
- Model lifecycle management
- Audit readiness
- Monitor AI performance , operational risks, and business impact.
- Ensure alignment with enterprise architecture and compliance standards.
Operational Excellence
- Build reusable delivery of accelerators , templates, and AI operational playbooks.
- Define KPIs for agent efficiency , automation effectiveness, and business value realization.
- Drive continuous improvement through telemetry, analytics, and feedback loops.
    Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or related field.
- 12-18 years of experience in IT Delivery, Digital Transformation, or Program Management.
- 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.
  Preferred Skills
- 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
  Key Competencies
- Strategic Thinking
- AI Delivery Leadership
- Stakeholder Management
- Innovation Mindset
- Risk & Governance Management
- Enterprise Transformation
- Data-Driven Decision Making
- Cross-functional Collaboration
- Change Leadership
  Success Metrics
- Successful deployment of enterprise AI agent programs
- Reduction in operational effort through automation
- Improved business productivity and user adoption
- Delivery predictability and governance compliance
- Measurable ROI from AI transformation initiatives
  Why Join Us Join a high-impact transformation team driving the future of enterprise operations through Agentic AI, intelligent automation, and autonomous digital ecosystems. You will play a key role in shaping next-generation delivery models powered by AI-driven collaboration between humans and intelligent agents.