Agentic Engineering Manager

Ascendion Engineering; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Ascendion Engineering is looking for an Agentic Engineering Manager to lead AI-powered business solutions delivery. You will oversee the operationalization of autonomous and semi-autonomous systems, ensuring governance, scalability, and compliance.

The ideal candidate should have extensive experience in Engineering Management, Program Management, and AI Transformation, along with a strong understanding of Agile and DevOps methodologies.

This role offers the opportunity to drive change in enterprise operations through innovative AI-driven models.

Qualifications

• 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) and DevOps.

Responsibilities

• Lead end-to-end delivery of Agentic AI programs across multiple business domains.
• Ensure successful deployment, adoption, and continuous optimization of AI agents.
• Build reusable delivery of accelerators, templates, and AI operational playbooks.

Skills

Agile Methodologies

AI Transformation

Stakeholder Management

Cloud-native Solutions

Generative AI

Program Management

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or related field

Tools

Azure

AWS

GCP

Job description

Role Title

Agentic Engineering Manager

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 successful 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 automation 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 readinessMonitor 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 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.

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 TransformationData-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.