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NVIDIA Solutions Architect (P&U) - Remote
Base Salary Range
$129,000 – $203,000
Job Profile Summary
The Enterprise Solution Architect - Power & Utilities designs, develops, and implements cutting-edge technology solutions leveraging NVIDIAs hardware and software ecosystem, cloud-native and hybrid architectures to transform the Power & Utilities sector spanning generation, transmission, distribution, and grid modernization.
Working in close partnership with the Industry Solution Leader, this role translates complex grid and energy challenges into scalable, high-performance architectural solutions. The ideal candidate brings expertise across the NVIDIA stack, major cloud platforms (Azure, AWS, GCP), and a strong working knowledge of operational technology (OT) and information technology (IT), and the broader digital grid ecosystem.
Duties & Responsibilities
Solution Design and Architecture
- Architect and deliver end-to-end enterprise solutions tailored to the unique challenges and opportunities in the Power & Utilities sector, including generation optimization, transmission and distribution automation, grid modernization, and energy transition use cases
- Leverage the full spectrum of NVIDIAs technologies to develop scalable, high-performance solutions in close collaboration with Big Data, AI/ML, Digital Twins and Simulation, Robotics, Edge Computing/IoT, and XR specialists
- Architect solutions that integrate operational technology (OT) systems with cloud-based AI services from major hyperscalers (Azure, AWS, GCP), addressing scalability, security, real-time performance, and regulatory compliance
- Create and maintain architectural artifacts, including solution design documents, reference architectures, integration diagrams, and executive-ready presentations
- Define solution roadmaps that account for short-term pilot delivery and long-term enterprise scalability across the value chain
- Incorporate relevant open source frameworks, simulation environments, and specialized engineering tools (e.g., real-time power system simulation, geospatial asset intelligence platforms) into solution blueprints where appropriate
Client Engagement and Advisory
- Serve as a trusted technical advisor to utility clients, providing expert guidance on AI/ML architecture, digital twin strategies, edge computing, and NVIDIA-powered infrastructure relevant to grid modernization
- Identify and articulate clients technical requirements, integration constraints, data infrastructure maturity, and OT/IT convergence challenges
- Lead architectural deep-dives and technical workshops with senior client stakeholders — translating complex system concepts (e.g., physics-informed AI for grid simulation, hardware-accelerated load forecasting) into business-relevant terms
- Build and maintain strong relationships with client architects, operations leaders, and technology decision-makers
- Serve as a subject matter expert for hardware-accelerated computing, digital twins and simulation, robotics and automation, generative and agentic AI, edge AI/ML within power and utilities environments
Collaboration and Delivery
- Collaborate with sales and business development teams to develop compelling technical strategies for complex energy solutions
- Participate in pre-sales activities, including RFPs/RFIs, technical demonstrations, and proof-of-concept scoping
- Design and deliver proof-of-concept (PoC) solutions and guide full-scale implementations, ensuring performance, reliability, and scalability within utility operational environments
- Work closely with delivery teams to provide architectural guidance throughout the project lifecycle — from design through commissioning and operations
- Coordinate with other architects, engineers, and domain specialists to ensure solution alignment across AI, simulation, IT/OT integration, and cloud infrastructure layers
- Mentor and coach solution and technical architects within the broader SoftServe technology organization on energy-specific patterns and NVIDIA platform capabilities
Technology Leadership and Innovation
- Stay ahead of emerging technology trends in AI for energy, grid-edge computing, physics-based digital twins, and autonomous grid operations — and propose innovative NVIDIA-powered solutions to address them
- Evaluate and recommend new technologies, tools, and methodologies to improve solution effectiveness across the value chain
- Drive innovation by identifying opportunities where NVIDIAs accelerated computing stack delivers competitive differentiation
- Contribute to the development of reusable solution patterns, reference architectures, and industry-specific accelerators to scale delivery across SoftServes energy practice
Preferred Competencies & Experience
- 10+ years in IT/OT architecture with a focus on enterprise solution architecture, ideally within energy, utilities, or industrial sectors
- Deep knowledge of P&U industry dynamics: grid operations and planning, asset management, reliability engineering, DER integration, load forecasting, and energy transition
- Proven track record delivering complex enterprise solutions using AI/ML, digital twins, simulation, robotics, and computer vision in power grid or industrial environments
- Broad knowledge of the NVIDIA ecosystem and hands-on experience with NVIDIA hardware and software frameworks
- Working knowledge of utility OT/IT systems: EMS, SCADA, ADMS, OMS, DERMS, and GIS platforms, and relevant IEC interoperability standards
- Expertise in enterprise cloud architecture, cloud-native applications, containers (Kubernetes, Docker), and hybrid OT/cloud deployments on Azure, AWS, and/or GCP
- Experience with data architecture, real-time data pipelines, MLOps, and AgentOps in operational energy environments
- Expertise in security, identity management, compliance, and governance in hybrid IT/OT environments
- Strong communication skills across both technical and executive audiences; experience in pre-sales, proposal development, and RFP responses
Required Skills
- Hands-on experience with NVIDIA and software frameworks is highly valued
- Extensive experience with cloud computing platforms (Azure, AWS, GCP) with specific emphasis on architectures suited to utility-scale data volumes, real-time telemetry, and OT integration
- Proficiency in microservices architecture, event-driven architecture, and domain-driven design with an understanding of how these apply in hybrid OT/IT environments
- Familiarity with industry-standard grid simulation, power systems analysis, and engineering toolchains, both open-source and commercially established, and how they integrate with NVIDIA-accelerated compute environments
- Expertise in security, identity management, compliance, and governance in hybrid IT/OT environments
Supervisory Responsibilities
- No direct reports. Provides technical mentorship and architectural guidance to SoftServe architects and technical le engaged on Power & Utilities projects
Qualifications
- Bachelor’s degree in Electrical Engineering, Computer Science, Energy Systems, or a closely related field
Relevant certifications are highly desirable, including:
- NVIDIA certifications
- Cloud platform certifications
- TOGAF or equivalent enterprise architecture certification
- Industry-relevant credentials in power systems or utility operations are a differentiating asset
Other Requirements
- Ability to travel 30%+
- Remote work with a home office
This posting includes an anticipated salary range that SoftServe expects to offer for this position. The range provided reflects the base salary only. Final compensation within this range will be determined based on some factors, including, but not limited to: geographic location, relevant experience, education, certifications, skills, budget, and market conditions.
The anticipated salary range for this role is $129,000 – $203,000 annually, in line with our internal compensation framework and budget allocation for the role. Most candidates are offered a salary within this disclosed range. If the role is eligible for a variable pay plan, this would be considered separately and may provide additional earnings beyond the base salary range reflected here.
Please note that the information provided in this posting is a general summary and may not include all compensation elements or benefits associated with the position.
Remote
Skills:
Amazon Web Services (AWS), Architectural Services, Artificial Intelligence (AI), Asset Management, Automation, Big Data, Blueprints, Budgeting, Business Development, Cloud Computing, Coaching, Commissioning, Communication Skills, Computer Hardware, Computer Science, Computer Skills, Computer Systems, Computer Vision, Customer Relations, Design Document, Ecosystems, Electrical Engineering, Emerging Technology, Energy & Utilities, Enterprise Architecture, Forecasting, GCP (Good Clinical Practices), Geographic Information Systems (GIS), Geospatial Intelligence (GEOINT), Grid Computing, Hardware Simulation, IT Governance, Identity Data Management, Industry Standards, Information Technology & Information Systems, International Electro-Technical Commission (IEC), Internet of Things, Interoperability, Leading Edge Technology, Mentoring, Microservices, Microsoft Windows Azure, Open Source, Operations Planning, Physics, Pre-Sales, Product Demonstration, Project Lifecycle, Proof of Concept, Regulatory Compliance, Reliability Engineering, Request for Proposals (RFP), Robotics, Sales, Sales Proposals, Scalable System Development, Simulation, Strategic Planning, Supervisory Control and Data Acquisition (SCADA), System Architecture, System Operations, Systems Analysis, Systems Engineering, Team Player, Technical Leadership, Technical Operations, Technical Strategy, Telemetry, Trend Analysis, Use Cases, Value Chain Model, Willing to Travel, Work From Home
SoftServe