AI Solution Architect

AI Solution ArchitectRemoteMeckson/Innova SolutionsJob OverviewWe are seeking an experienced AI Solution Architect to design, build, and deliver scalable AI/ML solutions that align with business objectives. The ideal candidate will work closely with engineering, product, and data science teams to architect end-to-end AI solutions, ensure system reliability, and guide the organization in adopting modern AI technologies.Key ResponsibilitiesArchitect end-to-end AI/ML solutions, including data ingestion pipelines, model development, deployment, and monitoring.Collaborate with business stakeholders to translate requirements into scalable technical solutions.Evaluate and select appropriate AI/ML frameworks, cloud services, and technology stacks.Oversee the integration of AI models into existing products, platforms, and enterprise systems.Ensure AI systems follow best practices for performance, security, scalability, and responsible AI guidelines.Lead technical design sessions, create architectural diagrams, and define best practices for AI delivery.Optimize AI workloads for cost efficiency, latency, model performance, and operational resiliency.Mentor engineering and data science teams on architecture patterns, deployment strategies, and MLOps practices.Conduct feasibility studies, proof-of-concepts, and prototype development for new AI initiatives.Stay current on emerging AI technologies, generative AI models, and cloud-native architectures.Required Skills & QualificationsBachelor's or Master's in Computer Science, AI/ML, Data Engineering, or related field.7+ years of experience in solution architecture, AI/ML engineering, or cloud architecture.Strong expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and Generative AI models.Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI/ML services.Knowledge of MLOps tools such as Kubeflow, MLflow, SageMaker, Vertex AI, or Azure ML.Strong understanding of data engineering, distributed systems, microservices, and API design.Experience with deploying models in production using Docker, Kubernetes, or serverless architectures.Excellent problem-solving, design thinking, and communication skills.