AI Engineer

• Lead a team of AI architects responsible for designing end-to-end AI solution architectures across business domains
• Define and evolve enterprise AI architecture frameworks, patterns, and standards that ensure scalability, interoperability, and performance
• Drive alignment across Data Science, MLOps, Cloud, and Software Engineering teams to ensure cohesive design and delivery
• Build reference architectures for reusable AI components (e.g., model pipelines, feature stores, inference APIs, monitoring frameworks)
• Develop the enterprise AI architecture roadmap in partnership with senior IT, product, and business stakeholders
• Establish architectural governance for AI model lifecycle management — from experimentation to production and retraining
• Ensure AI systems adhere to standards for security, compliance, data privacy, and responsible AI
• Evaluate emerging technologies (LLMs, generative AI, edge AI, vector databases, knowledge graphs, etc.) for enterprise readiness
• Oversee the design of AI systems that integrate with enterprise data platforms, IoT systems, MES/ERP systems, and industrial automation solutions
• Ensure AI solutions are modular, configurable, and reusable across business units and geographies
• Support large-scale AI deployments leveraging cloud-native architectures, containerization, orchestration, and APIs
• Drive adoption of CI/CD for ML (MLOps), data versioning, and observability practices across teams
• Lead, mentor, and grow a high-performing team of AI architects and technical leads
• Partner closely with data scientists, software engineers, enterprise architects, and business leaders to translate needs into scalable solutions
• Communicate complex technical concepts to executive audiences, influencing investment and adoption strategies

Senior Director – AI Architecture

Senior AI Engineer

AI Engineer

Agentic AI Engineer

Senior AI Engineer – GIS Solutions