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Need Senior AI Automation Engineer:: Minimum 9 years expereince

SVARA SOFTWARE SOLUTIONS INCFort Mill, SC🇺🇸United StatesPosted 24 Jul 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to lead AI automation initiatives and develop cutting-edge agentic workflows, perfect for an experienced engineer eager to drive innovation. You will thrive here if you have a strong background in AI orchestration and API integrations, contributing to impactful projects within a dynamic technology environment. Apply now to shape the future of AI-powered automation!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Senior AI Automation Engineer

Location : Fortmill, SC

Long Term Contract

Mandatory Skills 

  • Agentic AI workflows
  • AI orchestration
  • API''s & MCP integration

Job Description: Senior AI Automation Engineer

Position Summary

We are seeking a highly skilled AI Automation Engineer to accelerate AI adoption and automation initiatives across multiple technology and business teams. The role will focus on designing, developing, and deploying AI-powered workflows, agentic automation frameworks, API integrations, and reusable accelerators that improve operational efficiency, reduce manual effort, and enable faster delivery across the enterprise.

Key Responsibilities

  • Design and implement AI-driven automation solutions to improve engineering and operational processes.
  • Develop AI workflows, agent orchestration frameworks, and automation pipelines using modern AI platforms.
  • Integrate LLMs, enterprise tools, and applications through APIs and workflow orchestration platforms.
  • Build Proof of Concepts (POCs), pilots, and reusable AI accelerators for enterprise adoption.
  • Create intelligent remediation and automation solutions to reduce manual effort across development and infrastructure teams.
  • Develop AI agents capable of performing multi-step tasks, decision-making, and workflow execution.
  • Collaborate with product, engineering, infrastructure, security, and operations teams to identify automation opportunities.
  • Establish best practices, governance, and reusable patterns for AI implementation.
  • Support enterprise modernization initiatives through AI-enabled process transformation.
  • Measure and report productivity gains, efficiency improvements, and business outcomes.

Required Skills

  • Strong experience in Python development.
  • Hands-on experience with Generative AI, LLMs, and AI Agent frameworks.
  • Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
  • Strong understanding of prompt engineering, RAG, vector databases, and AI workflow design.
  • Experience integrating enterprise applications using REST APIs and SDKs.
  • Knowledge of API integration, authentication, token management, and workflow orchestration.
  • Experience with automation platforms such as Power Automate, Zapier, n8n, or similar.
  • Familiarity with cloud platforms (Azure, AWS, or Google Cloud Platform).
  • Experience with Git, CI/CD pipelines, and software development best practices.
  • Strong problem-solving and stakeholder communication skills.

Preferred Qualifications

  • Experience building enterprise AI agents and copilots.
  • Knowledge of development, infrastructure, security, or vulnerability remediation processes.
  • Experience implementing AI solutions for productivity improvement and process automation.
  • Understanding of enterprise architecture and system integration patterns.
  • Exposure to MLOps, observability, and AI governance frameworks.

Expected Outcomes

  • Accelerate AI adoption across multiple technology organizations.
  • Deliver reusable AI frameworks and automation accelerators.
  • Reduce manual engineering effort through intelligent automation.
  • Enable faster experimentation, innovation, and enterprise transformation.
  • Drive measurable productivity and efficiency gains across teams.

Experience

  • 8+ years of software engineering experience.
  • 3+ years of hands-on experience in AI/ML, Generative AI, or intelligent automation initiatives.
  • Prior experience leading enterprise automation or AI transformation initiatives preferred.

Skills

AWS
MLOps
Azure
Generative AI
Git
Google Cloud
Python
REST

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