Artificial Intelligence Architect

You will responsible for designing enterprise-level AI solutions, defining the AI strategy, and implementing scalable architectures that integrate machine learning, deep learning, and generative AI capabilities. This role requires a blend of technical expertise, architectural vision, and the ability to partner with cross-functional teams to deliver AI-driven business outcomes.

Key Responsibilities:

• Design and implement end-to-end AI/ML architectures for scalable enterprise solutions.
• Build and optimize ML pipelines for data ingestion, feature engineering, model training, deployment, and monitoring.
• Architect solutions using LLMs, generative AI, RAG pipelines, embeddings, and vector databases.
• Evaluate and select AI/ML frameworks, tools, and platforms based on business needs.
• Design and deploy AI workloads on cloud platforms (AWS, Azure, GCP).
• Collaborate with data engineering teams to build robust data pipelines and feature stores.
• Implement MLOps practices including CI/CD, model versioning, monitoring, and automation.
• Ensure AI systems follow security, privacy, and responsible AI guidelines.
• Partner with product, engineering, and business teams to convert requirements into technical AI designs.
• Mentor and guide AI engineers, ML engineers, and data scientists.
• Conduct research, build POCs, and evaluate emerging AI technologies and algorithms.
• Prepare architecture diagrams, documentation, and technical specifications.

Required Skills:

• Minimum

  7+ years total

  , with

  5+ years hands-on experience in AI/ML

• Strong expertise in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of LLMs, GenAI, transformers, embeddings, and vector search systems.
• Experience with AWS SageMaker, Azure ML, or GCP Vertex AI.
• Knowledge of distributed systems, microservices, API design, and cloud architecture.
• Hands-on experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes, Airflow).
• Strong understanding of data governance, security, and model lifecycle management.
• Excellent problem-solving and communication skills.