Automation And Ai Engineer

Overview

• Drive innovation by designing and deploying advanced automation and AI systems for operational efficiency and decision-making enhancement.
• Collaborate with cross-functional teams to integrate AI solutions into the organization's technology ecosystem seamlessly.
• Focus on creating scalable, reliable, and production-grade automation frameworks to support organizational goals.
• Optimize system performance and resource utilization to ensure cost efficiency and reliability.
• Implement governance protocols for AI systems, ensuring compliance with industry standards and data security measures.
• Leverage orchestration frameworks to streamline workflows and improve system interactions effectively.
• Contribute to the development and refinement of reusable automation patterns and templates for organizational use.

Key Responsibilities & Duties

• Design and implement integration layers and APIs to facilitate seamless data interaction across systems.
• Develop and maintain AI-driven pipelines and intelligent workflows tailored to organizational needs.
• Translate complex business challenges into technical solutions using automation and AI technologies.
• Ensure system reliability through proactive monitoring and performance optimization strategies.
• Collaborate with diverse teams to align automation solutions with organizational objectives and priorities.
• Establish and enforce compliance standards for AI and automation systems within regulated environments.
• Utilize advanced backend development skills to build robust and scalable systems.
• Contribute to the continuous improvement of automation frameworks and AI models for enhanced functionality.

Job Requirements

• Bachelor of Science (BS) in Computer Science, Engineering, or a related field.
• Minimum of 10 years of experience in software engineering, automation, or AI workflows; 12 years preferred.
• Proficiency in backend development, particularly Python, and system integration techniques.
• Experience with LLM APIs, RAG pipelines, and agent-based systems for AI applications.
• Knowledge of AWS services such as Lambda, API Gateway, and Step Functions.
• Familiarity with orchestration frameworks like LangChain or MCP for workflow management.
• Strong understanding of observability practices and production system reliability.
• Experience in financial services or other regulated environments is highly advantageous.