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Solution Architect – Cloud, IoT & AI-Driven Platforms

Computer Task Group, Inc•UNAVAILABLE, UNAVAILABLE
•Remote

About The Position

CTG is seeking a Solution Architect for a client engagement focused on an enterprise-scale remote instrument monitoring platform in the life sciences and clinical diagnostics industry. The role is remote and offered as an ongoing contract. The architect will lead the platform’s end-to-end architecture, technical roadmap, and modernization strategy, spanning cloud, IoT, data engineering, AI, security, regulatory compliance, and legacy systems. The position designs scalable cloud-native architecture across application, transport, and processing layers. It leads architecture for device connectivity, telemetry, instrument health monitoring, event processing, remote commands, software updates, and large-file transfers, including secure communications that work across restrictive networks and intermittent or air-gapped environments. It also defines data pipelines and processing, multi-agent AI solutions and governance, end-to-end security, non-functional standards, and infrastructure automation and release practices. The Solution Architect leads architecture reviews and technology decisions, documents architecture decisions, and provides hands-on guidance to three distributed engineering teams across the US, India, and Israel. The role also directs legacy modernization and migration involving .NET Framework, ASP.NET, VB6/COM, and SQL Server. A bachelor’s degree in a related technical discipline is required; a master’s degree or equivalent relevant professional experience is preferred. Excellent verbal and written English communication skills are required.

Requirements

  • Expertise in enterprise solution architecture, AWS cloud services, cloud-native development, distributed systems, microservices, and event-driven architectures.
  • Strong knowledge of IoT platforms, device connectivity, telemetry processing, APIs, and secure instrument-to-cloud communications.
  • Experience with AI/LLM-based applications, multi-agent architectures, orchestration, MCP, A2A, RAG, and AI governance.
  • Knowledge of data engineering, ETL, streaming technologies, operational data stores, analytics, and high-volume data processing.
  • Strong understanding of cybersecurity, identity and access management, encryption, regulatory compliance, and secure software development.
  • Experience with enterprise application modernization, cloud migration, and complex system integrations.
  • Excellent architectural leadership, technical communication, problem-solving, and cross-functional collaboration skills.
  • Extensive experience leading enterprise-scale solution architecture initiatives involving cloud platforms, IoT, distributed systems, and application modernization.
  • Demonstrated success designing production-grade AWS solutions and AI-driven applications, including LLM-based multi-agent systems.
  • Experience modernizing legacy applications using .NET Framework, ASP.NET, VB6/COM, and SQL Server technologies.
  • Proven ability to establish architecture standards, technical roadmaps, security frameworks, and non-functional requirements for mission-critical platforms.
  • Experience working in regulated environments.
  • Experience leading geographically distributed engineering teams and providing hands-on architectural guidance across multiple workstreams.
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline.
  • Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group.

Nice To Haves

  • Experience in life sciences, healthcare, clinical diagnostics, or medical-device industries.
  • Familiarity with medical-device software regulations, audit readiness, traceability, and cybersecurity requirements.
  • Master's degree in a related field, or equivalent relevant professional experience.

Responsibilities

  • Define and lead the end-to-end architecture, technical roadmap, and modernization strategy for an enterprise-scale remote instrument monitoring platform.
  • Design scalable, modular, cloud-native architecture across application, transport, and processing layers, including technical standards, integration patterns, APIs, and system ownership.
  • Lead cloud and IoT architecture for device connectivity, real-time telemetry, instrument health monitoring, event processing, remote commands, software updates, and large-file transfers.
  • Architect secure and reliable device communications that accommodate customer firewalls, restricted networks, intermittent connectivity, and air-gapped environments.
  • Define data engineering and processing architecture, including ingestion pipelines, ETL, operational data stores, analytics, and event-driven processing for large instrument fleets.
  • Design multi-agent AI solutions using LLMs, orchestration frameworks, MCP, and A2A communication for diagnostics, predictive maintenance, anomaly detection, and operational intelligence.
  • Establish AI governance standards for model evaluation, RAG, prompt management, guardrails, versioning, monitoring, and human approval controls.
  • Define end-to-end security architecture for device identity, authentication, authorization, encryption, token management, secure software delivery, and least-privilege access.
  • Ensure compliance with applicable regulatory requirements, including FDA 21 CFR Part 11, ISO 13485, IEC 62304, and medical-device cybersecurity standards.
  • Lead legacy modernization and migration strategies involving .NET Framework, ASP.NET, VB6/COM, and SQL Server, including assessments, data validation, coexistence, rollback, and decommissioning.
  • Establish non-functional architecture standards for scalability, performance, availability, resilience, disaster recovery, observability, data integrity, and cloud cost optimization.
  • Lead architecture reviews, evaluate technology options and build-versus-buy decisions, document architecture decisions, and guide three distributed engineering teams across the US, India, and Israel.
  • Define infrastructure automation, deployment pipelines, environment management, controlled releases, and operational support strategies.

Benefits

  • A competitive benefit package is offered.

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