AI/ML Architect

Location: Remote
Duration: Long-Term Contract / Full-Time
Job Title: AI/ML Architect

Job Summary

We are seeking an experienced AI/ML Architect to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in AI/ML architecture, cloud platforms, MLOps, Generative AI, and scalable data engineering practices. This role will work closely with business stakeholders, data scientists, engineers, and leadership teams to build innovative AI-driven solutions.

Key Responsibilities

• Design and implement end-to-end AI/ML architecture and solutions.
• Lead the development of Machine Learning, Deep Learning, and Generative AI applications.
• Define AI strategy, model lifecycle management, and MLOps best practices.
• Architect scalable data pipelines and model deployment frameworks.
• Build and optimize AI solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Develop and deploy LLM-based applications using OpenAI, Azure OpenAI, Claude, Llama, or similar models.
• Establish model governance, security, monitoring, and compliance standards.
• Collaborate with data science teams to productionize ML models.
• Evaluate emerging AI technologies and provide technical leadership for adoption.
• Mentor engineering teams and drive architecture reviews.

Required Skills

• 10+ years of IT experience with 5+ years in AI/ML architecture.
• Strong experience with Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Expertise in Generative AI, Large Language Models (LLMs), RAG, Prompt Engineering, and Vector Databases.
• Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience with cloud platforms: AWS, Azure, or Google Cloud Platform.
• Strong knowledge of data engineering, data lakes, and distributed computing.
• Experience with Docker, Kubernetes, CI/CD pipelines, and microservices architecture.
• Knowledge of NLP, Computer Vision, Deep Learning, and Predictive Analytics.
• Excellent communication and leadership skills.