Job
Description
Role Overview: As an AI Solution Architect, you will be responsible for leading the design and implementation of AI-driven solutions that align with business objectives and deliver scalable, high-performance results. Your deep expertise in AI/ML, solution architecture, and cloud deployment will be crucial as you collaborate with clients, developers, and stakeholders to drive AI innovation. Key Responsibilities: - Architect and implement AI-powered solutions in machine learning, NLP, and computer vision to solve complex business challenges. - Lead the AI solution lifecycle from concept to deployment, ensuring scalability, performance, and efficiency. - Design end-to-end AI architectures, including data pipelines, model selection, deployment, and monitoring strategies. - Integrate AI models into production environments, optimizing for performance, accuracy, and business impact. - Evaluate and recommend AI tools, frameworks, and technologies for various projects. - Mentor and guide AI engineers and data scientists, fostering best practices in AI development. - Collaborate with cross-functional teams (data engineers, business analysts, UI/UX designers) to deliver AI-driven products. - Ensure compliance with AI ethics, security, and governance while staying updated with the latest AI advancements. - Communicate technical solutions effectively to both technical and non-technical stakeholders. Qualifications Required: - 12+ years in software development, with 8+ years in AI/ML solution architecture. - Expertise in AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn). - Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI model deployment at scale. - Experience with data pipelines, big data technologies (Hadoop, Spark, Kafka), and cloud orchestration tools. - Strong programming skills in Python, with hands-on experience in ML model training, evaluation, and optimization. - Familiarity with DevOps for AI (CI/CD pipelines, MLOps best practices). - Strong leadership, communication, and problem-solving skills, with a proactive and collaborative mindset. Additional Company Details: The company is focused on AI-driven solutions and values compliance with AI ethics, security, and governance standards. Innovation and collaboration are at the core of the company culture, ensuring that employees stay updated with the latest advancements in AI technology. Role Overview: As an AI Solution Architect, you will be responsible for leading the design and implementation of AI-driven solutions that align with business objectives and deliver scalable, high-performance results. Your deep expertise in AI/ML, solution architecture, and cloud deployment will be crucial as you collaborate with clients, developers, and stakeholders to drive AI innovation. Key Responsibilities: - Architect and implement AI-powered solutions in machine learning, NLP, and computer vision to solve complex business challenges. - Lead the AI solution lifecycle from concept to deployment, ensuring scalability, performance, and efficiency. - Design end-to-end AI architectures, including data pipelines, model selection, deployment, and monitoring strategies. - Integrate AI models into production environments, optimizing for performance, accuracy, and business impact. - Evaluate and recommend AI tools, frameworks, and technologies for various projects. - Mentor and guide AI engineers and data scientists, fostering best practices in AI development. - Collaborate with cross-functional teams (data engineers, business analysts, UI/UX designers) to deliver AI-driven products. - Ensure compliance with AI ethics, security, and governance while staying updated with the latest AI advancements. - Communicate technical solutions effectively to both technical and non-technical stakeholders. Qualifications Required: - 12+ years in software development, with 8+ years in AI/ML solution architecture. - Expertise in AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn). - Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI model deployment at scale. - Experience with data pipelines, big data technologies (Hadoop, Spark, Kafka), and cloud orchestration tools. - Strong programming skills in Python, with hands-on experience in ML model training, evaluation, and optimization. - Familiarity with DevOps for AI (CI/CD pipelines, MLOps best practices). - Strong leadership, communication, and problem-solving skills, with a proactive and collaborative mindset. Additional Company Details: The company is focused on AI-driven solutions and values compliance with AI ethics, security, and governance standards. Innovation and collaboration are at the core of the company culture, ensuring that employees stay updated with the latest advancements in AI technology.
