Agentic AI / Orchestration Lead

Tekskills; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Tekskills is seeking an experienced Agentic AI Orchestration Lead to drive the design, implementation, governance, and optimization of multi-agent AI ecosystems enabling autonomous business processes and scalable enterprise AI adoption.

The role requires strategic leadership, architecture governance, and hands-on orchestration using platforms like LangGraph and OpenAI Agents, partnering with senior stakeholders to align AI investments with business goals while ensuring security, reliability, and

Qualifications

• 10+ years of experience in enterprise technology, software engineering, and solution architecture.

Responsibilities

• Define the enterprise vision, roadmap, and adoption strategy for Agentic AI and orchestration platforms.
• Establish governance frameworks and operating models for AI agents.

Skills

Enterprise Tech

Software Eng

Solution Architecture

AI Transformation

Leadership

Governance

AI Orchestration

Strategic Planning

Tools

LangGraph

Semantic Kernel

AutoGen

CrewAI

OpenAI Agents

Job description

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 Orchestration Design 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.