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Quest Global

Engineering services, digital transformation, asset management

Principal Architect - Smart Systems & AI Innovation

Natural Language Processing & LLMsUpdated on Nov 11
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree or higher in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field is required.
  • At least 5 years of experience in systems architecture, software design, or digital engineering is required.
  • Proven success architecting enterprise or cloud platforms that integrate AI/ML, analytics, and simulation is required; familiarity with LangChain, Azure AI Services, Python, .NET, and C# is required.
  • Experience implementing data pipelines and visualization using Power BI/Fabric or an equivalent is required.
  • Demonstrated experience establishing Architecture Decision Records (ADRs), contract-first API standards, and cross-team architecture governance is required.
  • Hands-on design experience with retrieval-augmented generation (RAG) systems, including vector databases, hybrid search, and embedding/chunking, as well as LLMOps/MLOps covering prompt/version management, evaluation, guardrails, drift monitoring, and cost/performance controls is required.
  • Experience defining semantic/knowledge graph models and data fabric patterns is required; familiarity with CIM where applicable is required.
  • Proven delivery in secure, hybrid, or air-gapped environments using GitOps/Kubernetes and DevSecOps practices, including software bills of materials (SBOM), artifact signing, and SAST/DAST, is required.
  • A system-level perspective and hands-on technology experience are required.

Responsibilities

  • Define technical architecture for AI copilots, smart engineering tools, and digital-twin ecosystems within the Controls Alliance.
  • Partner with data engineering teams to connect analytics pipelines and Power BI/Fabric dashboards to backend source-of-truth systems, ensuring real-time visibility and data integrity across value streams.
  • Establish and chair an architecture review cadence; author and maintain ADRs; drive contract-first APIs using OpenAPI/AsyncAPI, consumer-driven contract testing, and shared data model standards across squads.
  • Own the reference architecture for RAG-based copilots and tools, including hybrid search, vector-store strategy, chunking/embedding pipelines, offline/online evaluation harnesses, continuous-learning pipelines, and role-based security models spanning legacy and modern AI platforms.
  • Define the semantic model, knowledge graph approach (CIM-aligned where applicable), data product boundaries, and data fabric patterns unifying engineering, HR, finance, and telemetry sources for cross-domain analytics and copilots.
  • Specify hybrid and air-gapped deployment patterns; adopt Kubernetes/GitOps, SBOMs, signed artifacts, SAST/DAST, supply-chain controls, and auditable DevSecOps pipelines for secure environments.
  • Lead development and integration of 5× force-multiplier initiatives, transforming repetitive engineering processes into intelligent, self-improving systems.
  • Contribute to MGPP/technology strategy, participate in patent evaluation processes, and represent the program in standards bodies and forums such as IEC and CIGRE.
  • Define baselines and targets for 5× productivity, including cycle-time reduction per workflow, adoption/DAU/MAU, quality measures such as defect/escape rate, latency/SLOs, and realized cost/time savings; instrument telemetry to track outcomes.

Desired Qualifications

  • A Master's degree in Engineering, Data Science, or Systems Architecture is preferred.
  • Prior experience in controls, industrial automation, or energy systems and exposure to MBSE and digital twins are preferred.
  • Experience with RAG, agentic AI frameworks, or enterprise copilots is preferred.
  • Contributions to patents or standards bodies such as IEC/CIGRE, external technical representation, and experience aligning architecture to MGPP/long-range strategies are preferred.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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