Senior Agentic AI Engineer

Sails Software Solutions; Visakhapatnam; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Sails Software Solutions in Visakhapatnam seeks a Senior Agentic AI Engineer to lead the architecture and implementation of complex Agentic AI ecosystems and automated workflows for enterprise clients.

You will combine technical leadership with hands-on engineering, mentor teams, and collaborate with clients to define AI transformation roadmaps while ensuring governance, security, and scalable delivery.

Qualifications

• Lead architecture and implementation of Agentic AI ecosystems.
• Prototype and deploy autonomous business workflows with clients.
• Establish governance, observability, and security for AI systems.

Responsibilities

• Architect enterprise-scale Agentic AI solutions.
• Lead multi-agent orchestration platforms development.
• Design advanced AI Digital Labor use cases.
• Build governance, observability, and security frameworks.
• Establish standards for agent lifecycle management.
• Lead POCs, MVPs, and production deployments.
• Review architecture and code quality.
• Mentor engineering teams and technical leads.
• Work with clients to define AI transformation roadmaps.
• Drive innovation and identify emerging AI technologies.

Skills

Artificial Intelligence

AI Developer

Machine Learning Engineer

Python

Deep Learning

Multi-agent architectures

Agent orchestration

Job description

Role: Senior Agentic AI Engineer

Experience: 6 to 10 Years

Location: Visakahapatnam- WFO

Description

The Senior Agentic AI Engineer will lead the architecture and implementation of complex Agentic AI ecosystems, and autonomous business workflow solutions. This role combines deep technical leadership with hands-on engineering expertise and client engagement

Roles & Responsibilities

• Architect enterprise-scale Agentic AI solutions.
• Lead development of multi-agent orchestration platforms.
• Design advanced AI Digital Labor use cases.
• Build governance, observability, and security frameworks.
• Establish standards for agent lifecycle management.
• Lead POCs, MVPs, and production deployments.
• Review architecture and code quality.
• Mentor engineering teams and technical leads.
• Work closely with clients to define AI transformation roadmaps.
• Drive innovation and identify emerging AI technologies

Mandatory Skills

Artificial Intelligence,Artificial Intelligence Developer,Machine Learning Engineer,Python,Deep Learning,Multi-agent architectures,Agent orchestration