AI Architect

Role: AI Solution Architect Location: Durham, North Carolina, - Onsite if possible, else Remote Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Google Cloud~Digital : Azure Machine Learning (ML) Experience Required: 10 & Above Role Descriptions: Must Have Technical/Functional Skills • Strong expertise in AI/ML concepts including supervised, unsupervised, deep learning, NLP, and generative AI. • Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn. • Proficiency in programming languages like Python, R, or Java. • Experience in designing end-to-end AI solutions including model development, validation, deployment, and monitoring. • Knowledge of cloud platforms (Azure, AWS, GCP) with AI/ML services (e.g., Azure AI, SageMaker, Vertex AI). • Experience with MLOps practices, CI/CD pipelines, model versioning, and lifecycle management. • Strong understanding of data engineering concepts (ETL pipelines, big data technologies like Spark, Hadoop). • Familiarity with APIs, microservices architecture, and integration of AI models into enterprise systems. • Knowledge of data governance, security, and compliance in AI solutions. • Experience with BI and visualization tools (Power BI, Tableau) for AI insights. • Exposure to domain-specific AI applications (publishing, retail, finance, etc.) is a plus. • Experience in agentic development design and platform knowledge Roles & Responsibilities • Define and design AI-driven solution architectures aligned with business objectives. • Collaborate with stakeholders to translate business requirements into AI use cases and technical solutions. • Lead end-to-end AI solution development, from data ingestion to model deployment. • Design scalable and robust AI/ML pipelines and architectures. • Provide technical leadership and guidance to data scientists, engineers, and developers. • Evaluate and recommend appropriate tools, platforms, and frameworks for AI implementation. • Ensure best practices in MLOps, including model monitoring, retraining, and performance optimization. • Identify and mitigate risks associated with AI models, including bias, drift, and scalability issues. • Work closely with cross-functional teams to ensure seamless integration with enterprise applications. • Drive innovation and continuous improvement by staying updated with latest AI trends and technologies. • Support pre-sales, solutioning, and proposal development where required. • Generic Managerial Skills, If any • Strong stakeholder management and communication skills. • Ability to lead cross-functional teams and drive collaboration. • Excellent problem-solving and decision-making abilities. • Experience in project planning, estimation, and delivery management. • Strong analytical thinking and strategic mindset. • Ability to mentor and coach team members. • Effective risk management and escalation handling