We are seeking an experienced Senior AI Data & Automation Engineer to help build and scale AI-driven solutions that enhance security, risk, compliance, and operational processes. This role combines advanced data engineering, automation, and agentic AI development, enabling intelligent systems to access, process, and act on enterprise data efficiently and securely.

Requirements

• Dedicate engineering capacity to the design, development, and deployment of AI agents that support security, risk, compliance, and governance initiatives.
• Build and maintain foundational infrastructure that enables agent workflows, including retrieval systems, context management, memory architectures, and agent-to-agent orchestration patterns.
• Collaborate closely with cross-functional stakeholders to translate business requirements into scalable, data-driven, AI-powered solutions that reduce manual effort and improve decision-making.
• Design and implement Model Context Protocol (MCP) integrations, enabling AI agents to securely interact with enterprise data sources, applications, tools, and APIs through standardized and scalable interfaces.
• Architect, develop, and maintain ETL/ELT and agentic data pipelines that ingest, transform, and deliver data from diverse sources into modern data platforms and downstream AI-driven applications.
• Ensure robust data security, privacy, governance, and compliance controls across all data pipelines, storage layers, and agent-accessible systems.
• Monitor, troubleshoot, and optimize data infrastructure, pipelines, and AI agent ecosystems to improve performance, reliability, scalability, and responsiveness for real-time workloads.
• Provide technical leadership and mentorship to engineering teams on data engineering best practices, MCP implementations, and agent-native architecture principles.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline (or equivalent practical experience).
• 8+ years of experience in Data Engineering, Automation Engineering, or related technical fields.
• Strong programming skills in Python, Go, C++, or other modern software development languages.
• Hands-on experience designing, building, and operating production-grade AI, agentic systems, and MCP-based workflows.
• Familiarity with modern AI development tools and coding assistants such as Claude Code, Codex, Cursor, or similar platforms.
• Demonstrated ability to rapidly evaluate, adopt, and implement emerging AI technologies, frameworks, and MCP patterns.
• Experience with cloud-native and large-scale data platforms, including AWS, Terraform, Airflow, Databricks, or equivalent technologies.
• Strong ownership mindset with the ability to work independently and lead initiatives in agile, fast-paced environments.
• Proven track record of delivering large-scale, high-impact projects with minimal supervision.
• Excellent communication, stakeholder management, and collaboration skills.