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

Skills Required
Java, Airflow, Kafka, Tensorflow, Pytorch, MLops, Docker, Spark, Python, Kubernetes