Operations Technology Solutions Architect-Specialist Master

Position Overview

The Operations Technology Solutions Architect-Specialist Master Level in AI & Engineering is a strategic role focused on transforming technology platforms and driving innovation. You will work alongside talented professionals to re-engineer mission‐critical operations, improve financial performance, and accelerate new digital ventures. This role leverages cutting-edge engineering in AI, machine learning, edge computing, and hybrid cloud infrastructure to deliver integrated, scalable, and secure solutions.

Recruiting for this role ends on 12/15/25.

Key Responsibilities

• Lead, mentor, and manage a multidisciplinary team of engineers specializing in AI, machine learning, edge computing, and distributed systems.
• Develop and architect comprehensive hybrid edge AI solutions that integrate seamlessly with existing OT/IT infrastructure and cloud environments.
• Design and implement solutions by integrating varied technologies including AI, GenAI, agentic solutions, edge-cloud infrastructure, IIoT sensor data, sensor fusion, and multiple systems integrations.
• Manage the full operations lifecycle for hybrid edge AI engagements including work breakdown, project planning, day-to-day delivery, and integration of solutions.
• Ensure OT solution designs comply with industry best practices and standards such as NERC CIP and ISA/IEC 62443.
• Provide technical leadership and mentorship on technology choices, engineering best practices, and troubleshooting.
• Guarantee solutions are scalable, secure, reliable, and optimized for operations technology.
• Oversee edge and AI infrastructure operations including monitoring, reliability engineering, and AI-driven operations enablement.
• Identify opportunities to expand AI-driven automation and intelligence within client operations.

Required Qualifications

• 8+ years of managing multi-disciplinary engineering teams delivering end-to-end solutions.
• 3+ years’ experience with edge computing architectures, distributed systems, and real-time data processing.
• 2+ years’ experience with OT protocols (e.g., OPC-UA, Modbus, MQTT) and integrating with industrial control systems.
• 3+ years’ experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) applied in edge environments.
• 3+ years’ experience in architecture and design for AI solutions in cross-industry OT applications.
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field, or equivalent experience.
• Ability to travel up to 50% based on client and project requirements.
• Must be legally authorized to work in the United States without the need for employer sponsorship.

Preferred Qualifications

• Experience in edge and AI infrastructure operations, including monitoring and site reliability engineering.
• OT relevant certifications (e.g., TOGAF, ICS, CSSA).
• Proficiency in securing OT environments against cyber threats and ensuring compliance with standards like NIST and IEC 62443.
• Experience in vendor evaluation, selection, and management for high-quality service delivery.
• Expertise in network design and management along with knowledge of OT protocols and communication standards.
• Strong project management skills with the ability to coordinate cross-functional teams and communicate effectively with technical and non-technical stakeholders.

Compensation & Benefits

• Compensation: A wage range of $151,800 to $253,000, reflecting factors such as skill sets, experience, training, licensure, and certifications.
• Eligibility to participate in a discretionary annual incentive program based on individual and organizational performance.
• Accommodations: For applicants with a need for accommodation, please visit this link.