Agentic AI / Orchestration Lead

Zohorecruit; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Algoleap Technologies Pvt Ltd seeks an experienced Agentic AI Orchestration Lead to steer the design, governance, and optimization of multi-agent AI ecosystems. You will define the enterprise vision and adoption strategy for Agentic AI platforms, and drive intelligent automation across complex business processes.

The role requires leadership in architecture, orchestration frameworks, and governance, with hands-on guidance to engineering teams implementing AI-powered, enterprise-grade solutions.

Qualifications

• 10+ years in enterprise technology and AI-driven digital transformation.
• Experience leading design, governance and optimization of multi-agent AI ecosystems.
• Proven ability to drive autonomous business processes and scalable AI adoption.

Responsibilities

• Define the enterprise vision, roadmap, and adoption strategy for Agentic AI platforms.
• Establish governance frameworks and operating models for AI agents.
• Lead architecture and orchestration of multi-agent systems and reusable services.

Skills

Enterprise tech

Software engineering

Solution architecture

AI-driven transformation

Leadership

Tools

LangGraph

Semantic Kernel

AutoGen

CrewAI

OpenAI Agents

Job description

Algoleap Technologies Pvt Ltd | Full time

Essential Skills: We are seeking an experienced and visionary Agentic AI Orchestration Lead with 10 years of experience in enterprise technology| software engineering| solution architecture| and AI-driven digital transformation. The ideal candidate will lead the design| implementation| governance| and optimization of multi-agent AI ecosystems that enable autonomous business processes| intelligent decision-making| and scalable enterprise AI adoption

Role Descriptions: Strategic LeadershipDefine the enterprise vision| roadmap| and adoption strategy for Agentic AI and AI orchestration platforms.Establish best practices| standards| governance frameworks| and operating models for AI agents.Drive enterprise-wide AI transformation initiatives and identify high-value automation opportunities.Partner with business and technology leadership to align AI investments with organizational goals.AI Agent Architecture OrchestrationDesign and implement multi-agent architectures involving planner| coordinator| executor| reviewer| and specialist agents.Lead development of orchestration frameworks using technologies such as LangGraph| Semantic Kernel| AutoGen| CrewAI| OpenAI Agents| or similar platforms.Define agent communication patterns| memory management| context sharing| workflow execution| and task delegation strategies.Architect reusable agent services| tools| APIs| and orchestration components.Platform Engineering DeliveryLead development and deployment of production-grade AI agents and autonomous workflows.Establish CICD pipelines| testing frameworks| and observability mechanisms for AI systems.Ensure scalability| resilience| security| and performance across AI platforms.Guide engineering teams in implementing AI-powered solutions and enterprise integrations.Governance| Risk ComplianceEstablish AI governance processes covering security| privacy| explainability| and responsible AI practices.Define monitoring| auditing| and evaluation frameworks for autonomous agents.Ensure compliance with enterprise architecture standards and regulatory requirements.Mitigate risks related to hallucinations| data leakage| prompt injection| and model drift.Stakeholder Management InnovationCollaborate with business leaders to translate complex requirements into AI-driven solutions.Conduct architecture reviews| proof-of-concepts| and innovation workshops.Evaluate emerging AI tools| models| frameworks| and orchestration technologies.Promote AI adoption through mentoring| training| and organizational change management.Team LeadershipLead and mentor AI architects| engineers| prompt engineers| and platform teams.Establish engineering standards| development guidelines| and quality gates.Drive continuous improvement| knowledge sharing| and innovation across AI initiatives.Foster a culture of experimentation while maintaining enterprise-grade controls.