Agentic Ai Orchestration Lead Tekskills Hyderabad

Vibehackers; Hyderabad; On-site; INR 450,000 - 900,000; Full time

Job summary

Tekskills Hyderabad is seeking an experienced Agentic AI Orchestration Lead to design, govern, and scale enterprise multi-agent AI ecosystems. You will drive the strategy, platform architecture, and responsible AI governance for autonomous workflows.

You will mentor teams, define standards, and collaborate with business and tech leaders to deliver production-grade agents and reusable services across the organization.

Qualifications

• 10 years of experience in enterprise technology, software engineering, solution architecture, or AI-driven digital transformation.
• Proven experience designing and implementing multi-agent AI systems and orchestration frameworks.
• Hands-on experience with orchestration platforms and agent tooling (LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI Agents) or similar technologies.

Responsibilities

• Strategic leadership: define enterprise vision, roadmap, standards, governance frameworks, and operating models for Agentic AI.
• AI agent architecture: design and implement multi-agent architectures (planner, coordinator, executor, reviewer, specialist agents) and define communication, memory, context sharing, workflow execution, and task delegation strategies.
• Orchestration platform design: lead development of orchestration frameworks and reusable agent services, tools, APIs, and components.
• Platform engineering & delivery: lead development and deployment of production-grade AI agents and autonomous workflows; establish CI/CD pipelines, testing frameworks, and observability; ensure scalability, resilience, security, and performance.
• Governance, risk & compliance: establish AI governance for security, privacy, explainability, monitoring, auditing, and evaluation; mitigate hallucinations, data leakage, prompt injection, and model drift.
• Stakeholder management & innovation: collaborate with business and technology leaders, run architecture reviews, POCs, and innovation workshops; evaluate emerging tools and frameworks.
• Team leadership: lead and mentor AI architects, engineers, and prompt engineers; set engineering standards, quality gates, and promote knowledge sharing.

Skills

Enterprise Architecture

System Design

Solution Architecture

Platform Engineering

CI/CD

DevOps

Governance & Compliance

Risk Management

Security

Observability

Performance Optimization

Stakeholder Management

Team Leadership

Mentoring

Change Management

Technical Strategy

Testing Frameworks

Communication

Innovation & R&D

Tools

LangGraph

Semantic Kernel

AutoGen

CrewAI

OpenAI Agents

CI/CD Pipelines

Job description

Agentic Ai Orchestration Lead Tekskills Hyderabad

Building and orchestrating multi-agent AI systems using tools like LangGraph, Semantic Kernel, AutoGen and OpenAI Agents; focused on AI dev/platform work.

About the Role

Lead the design, implementation, governance, and optimization of enterprise-grade multi-agent AI ecosystems to enable autonomous business processes and scalable AI adoption. Drive strategy, platform engineering, risk and compliance, and mentor teams to deliver production-grade AI agents and workflows.

Job Description

Role

Agentic AI Orchestration Lead responsible for defining the enterprise vision, roadmap, and adoption strategy for agentic AI and AI orchestration platforms. The role leads design and implementation of multi-agent architectures and delivery of production-grade autonomous workflows while ensuring governance, compliance, security, and scalability.

Key Responsibilities

• Strategic leadership: define enterprise vision, roadmap, standards, governance frameworks, and operating models for Agentic AI.
• AI agent architecture: design and implement multi-agent architectures (planner, coordinator, executor, reviewer, specialist agents) and define communication, memory, context sharing, workflow execution, and task delegation strategies.
• Orchestration platform design: lead development of orchestration frameworks and reusable agent services, tools, APIs, and components.
• Platform engineering & delivery: lead development and deployment of production-grade AI agents and autonomous workflows; establish CI/CD pipelines, testing frameworks, and observability; ensure scalability, resilience, security, and performance.
• Governance, risk & compliance: establish AI governance for security, privacy, explainability, monitoring, auditing, and evaluation; mitigate hallucinations, data leakage, prompt injection, and model drift.
• Stakeholder management & innovation: collaborate with business and technology leaders, run architecture reviews, POCs, and innovation workshops; evaluate emerging tools and frameworks.
• Team leadership: lead and mentor AI architects, engineers, and prompt engineers; set engineering standards, quality gates, and promote knowledge sharing.

Requirements

• 10 years of experience in enterprise technology, software engineering, solution architecture, or AI-driven digital transformation.
• Proven experience designing and implementing multi-agent AI systems and orchestration frameworks.
• Hands-on experience with orchestration platforms and agent tooling (examples called out: LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI Agents) or similar technologies.
• Strong platform engineering skills: CI/CD pipelines, testing frameworks, observability, scalability, resilience, security, and performance tuning.
• Experience defining and implementing AI governance, monitoring, auditing, explainability, and responsible AI practices.
• Track record mitigating AI-specific risks such as hallucinations, data leakage, prompt injection, and model drift.
• Strong stakeholder collaboration, architecture review and POC experience, and ability to translate business requirements into AI solutions.
• Leadership experience: mentoring teams, establishing standards, driving adoption, and managing organizational change.

Notes

• Focus is on enterprise-scale adoption and governance of agentic AI; role emphasizes both technical architecture and organizational change management.

LangGraph Semantic Kernel AutoGen CrewAI OpenAI Agents CI/CD

Skills

Enterprise Architecture System Design Solution Architecture Platform Engineering CI/CD DevOps Governance & Compliance Risk Management Security Observability Performance Optimization Stakeholder Management Team Leadership Mentoring Change Management Technical Strategy Testing Frameworks Communication Innovation & R&D