AI Solution architect

Key Responsibilities: Lead the design and implementation of AI/ML solutions across various business domains. Architect end-to-end GenAI solutions, ensuring scalability, reliability, and security. Collaborate with data scientists, engineers, and product managers to translate business requirements into technical solutions. Evaluate and select appropriate AI frameworks, tools, and build core AI framework. Ensure best practices in software engineering, code quality, and system security. Oversee integration of AI models into existing software products and cloud environments. Mentor and guide development teams on AI/ML best practices and software architecture. Stay updated with the latest advancements in AI, ML, and software engineering. Required Qualifications: 8+ years of experience in software development, with at least 3 years in AI/ML solution architecture. Strong programming skills in Python, Java, or similar languages. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Solid understanding of software architecture patterns, APIs, and microservices. Proven track record of delivering complex AI projects from concept to production. Preferred Skills: Experience with MLOps, CI/CD for ML, and containerization (Docker, Kubernetes). Familiarity with data engineering tools (Spark, Kafka, Airflow). Knowledge of data privacy, security, and compliance in AI systems. Strong communication skills to effectively collaborate with various stakeholders Critical thinking and problem-solving skills are essential Proven ability to lead and manage projects with cross-functional teams