Function

• Join a leadership team driving enterprise-scale AI, GenAI, Agentic AI, Physical AI, IoT, Cloud, and Digital Transformation initiatives for customers in asset-heavy industries such as Energy, Rail, and Manufacturing.
• Serve as a trusted advisor to business and technology stakeholders, leading architecture discussions, solution workshops, and executive-level engagements.
• Work with globally distributed architects and engineering teams to deliver innovative, scalable, secure, and business-critical solutions.
• Help shape technology strategy, governance, architecture standards, and adoption of emerging technologies across large transformation programs.

• Define end-to-end architecture for AI, GenAI, Agentic AI, Physical AI, IoT, Cloud, and Digital Transformation solutions.
• Lead technical delivery from strategy through implementation, ensuring quality, scalability, security, governance, and successful business outcomes.
• Drive architecture reviews, technology standards, best practices, and enterprise-wide adoption of emerging technologies.
• Mentor architects and engineering teams while leading customer workshops, executive discussions, and cross-functional delivery efforts.

• 15+ years of solution architecture, technology leadership, and enterprise delivery experience, with proven success leading large-scale AI, cloud, platform, or digital transformation programs.
• Strong customer-facing experience with the ability to influence executive stakeholders, lead global teams, mentor talent, and drive strategic initiatives.
• Must-have technical skills: AI, Generative AI, Agentic AI, Physical AI, Machine Learning, Intelligent Automation, LLMs, RAG, Multi-Agent Architectures, AI Orchestration Frameworks, MLOps, IoT/IIoT, Edge Computing, Cloud Platforms (AWS/Azure/GCP), Microservices, APIs, Distributed Systems, Kubernetes, Containers, DevOps, Security, Integration, and Enterprise Architecture.
• Required industry experience: Delivery experience within asset-heavy industries such as Energy, Rail, or Manufacturing. Experience with HPC (CUDA, ROCm, Weka, GPFS), NVIDIA technologies, and Computer Vision models (CNNs, YOLO, ViTs, VLMs) is highly preferred.

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