Operations Technology Solutions Architect-Specialist Master

About This Role

Lead a multidisciplinary team to design, architect, and implement comprehensive hybrid edge AI solutions, ensuring seamless integration with OT/IT infrastructure and cloud environments. Drive innovation by leveraging cutting-edge engineering capabilities to transform mission-critical operations for clients.

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 environment
• Bring together varied technologies including AI, GenAI, Agentic solutions, Edge-cloud infrastructure, IIoT sensor & devices data, sensor fusion and varied systems integrations to design and implement specific solutions enabling desired client outcomes
• Manage full operations lifecycle for hybrid edge AI solutions engagements for clients including managing work breakdown for the team, project planning, day-to-day engineering delivery, integration of parts and delivery of complete solutions
• Ensure that OT solutions design comply with industry best-practices for solution design and with relevant industry standards and regulations, such as NERC CIP, ISA/IEC 62443, and others
• Provide technical leadership, mentorship to your team towards technology choices, troubleshooting, engineering best practices, technology implementation guidance and day-to-day execution support
• Ensure solutions are scalable, secure, reliable, and optimized for OT
• Oversee edge and AI infrastructure operations, including monitoring, reliability engineering, and AI-driven operations enablement
• Identify opportunities for expanding AI-driven automation and intelligence within client operations

Requirements

• 8+ years of managing multi-disciplinary teams of engineers delivering end-to-end solutions
• 3+ years' experience of edge computing architectures, distributed systems, and real-time data processing
• 2+ years with OT protocols (e.g., OPC-UA, Modbus, MQTT) and integration with industrial control systems
• 3+ years of AI/ML algorithm framework (e.g. Pytorch, TensorFlow) and their application in edge environment
• 3+ years' experience with architecture, design expertise for AI solutions for cross-industry OT applications
• Bachelor's or A master's degree in computer science, Electrical Engineering, Data Science, or a related field, or equivalent experience
• Legally authorized to work in the United States without the need for employer sponsorship

Qualifications

• A bachelor's or master's degree in computer science, Electrical Engineering, Data Science, or a related field, or equivalent experience
• 8+ years of managing multi-disciplinary teams of engineers delivering end-to-end solutions, 3+ years' experience of edge computing architectures, distributed systems, and real-time data processing, 2+ years with OT protocols (e.g., OPC-UA, Modbus, MQTT) and integration with industrial control systems, 3+ years of AI/ML algorithm framework (e.g. Pytorch, TensorFlow) and their application in edge environment, 3+ years' experience with architecture, design expertise for AI solutions for cross-industry OT applications

Nice to Have

• Experience in edge and AI infrastructure operations, including monitoring, site reliability engineering
• OT relevant certs: TOGAF/ICS/CSSA etc.
• Proficiency in securing OT environments against cyber threats, ensuring compliance with standards like NIST and IEC 62443
• Experience in evaluating, selecting, and managing vendors to ensure high-quality service delivery
• Proficiency in network design and management, including understanding of protocols and communication standards used in OT environments
• Understanding of cybersecurity best practices and compliance requirements in OT and edge computing contexts
• Ability to manage complex projects, coordinate cross-functional teams, and communicate effectively with both technical and non-technical stakeholders

Skills

* Required skills