Senior Manager, Technical Architect – Enterprise AI Solutions

Role Overview

• Define and lead enterprise AI architecture standards, frameworks, and best practices
• Design scalable AI platforms supporting Generative AI, Agentic AI, Machine Learning, and advanced analytics
• Establish enterprise governance for AI security, compliance, model lifecycle management, and responsible AI adoption
• Partner, collaborate and influence senior leadership to identify high-value AI use cases aligned with business priorities and operational efficiency goals
• Lead the end-to-end design and deployment of enterprise AI solutions and intelligent automation initiatives
• Architect and implement AI-powered copilots, knowledge assistants, and workflow automation solutions
• Integrate AI capabilities into enterprise applications including Microsoft Dynamics 365, SAP S/4HANA, Salesforce, Service Platforms, and custom applications
• Design scalable APIs, microservices, and AI orchestration frameworks
• Lead implementation of enterprise GenAI solutions leveraging platforms such as OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, and Azure AI Services
• Design Retrieval-Augmented Generation (RAG) architectures, vector databases, prompt engineering frameworks, and enterprise knowledge management solutions
• Build secure enterprise AI integrations with internal data platforms and business systems
• Evaluate and optimize LLM performance, cost, governance, and scalability
• Collaborate with data engineering teams to establish scalable AI/ML pipelines and data architectures
• Design enterprise-grade MLOps and LLMOps capabilities including CI/CD, monitoring, observability, and model governance
• Ensure reliability, scalability, security, and operational readiness of AI platforms
• Support cloud-native AI deployments across Azure, AWS, and Google Cloud
• Serve as technical lead and mentor for AI engineers, developers, and solution architects
• Partner with business stakeholders across Manufacturing, Sales, Operations, Finance, and Supply Chain to translate business requirements into AI-enabled solutions
• Drive vendor evaluations, proof-of-concepts, and strategic partnerships related to AI technologies
• Communicate technical concepts effectively to both technical and executive audiences

Requirements

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Engineering, Data Science, or related discipline
• Advanced degree preferred
• 8+ years of experience in enterprise software engineering, solution architecture, AI/ML engineering, or related technical leadership roles
• 3+ years of hands-on experience designing and deploying Generative AI / LLM-based enterprise solutions
• Experience leading enterprise-scale AI transformation initiatives in global organizations
• Strong experience with cloud-native architectures and enterprise integration platforms
• Strong proficiency in Python and modern AI/ML frameworks
• Experience with OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot Studio, LangChain, Semantic Kernel, or equivalent AI ecosystems
• Experience with vector databases, RAG architectures, AI orchestration frameworks, and prompt engineering
• Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks
• Strong understanding of enterprise API integration, microservices, and distributed architectures
• Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices
• Familiarity with enterprise security and AI governance requirements
• Experience integrating AI solutions with SAP S/4HANA, Microsoft Dynamics 365, Power Platform, or similar enterprise platforms
• Experience with data engineering technologies including SQL, Spark, Databricks, or equivalent platforms is preferred
• Industry experience in Renewable Energy, Manufacturing, Industrial Technology, Utilities, Energy Storage, Global Supply Chain Operations preferred.

Tech Stack

• AWS
• Azure
• Cloud
• Docker
• Kubernetes
• Microservices
• Python
• PyTorch
• Scikit-Learn
• Spark
• SQL
• Tensorflow

Benefits

• 401(k) Retirement Plan
• medical/dental/life/disability program
• PTO and sick days