Senior AI Automation Engineer
Apptad
Job Title: Senior AI Automation Engineer
Location: Fortmill, SC (Onsite)
Duration: Contract Job Description: Mandatory Skills
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
Location: Fortmill, SC (Onsite)
Duration: Contract Job Description: Mandatory Skills
- Agentic AI workflows
- AI orchestration
- API's & MCP integration
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.
- 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 GCP).
- Experience with Git, CI/CD pipelines, and software development best practices.
- Strong problem-solving and stakeholder communication skills.
- 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.
- 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.
- 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.
Vacancy posted 4 days ago
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