AI/ML Architect (GenAI, Python)

Role Overview

We are seeking a strong AI Architect with end-to-end ownership across ML, Deep Learning, and Generative AI initiatives. This role requires architectural leadership in designing and deploying scalable, secure AI systems.

Responsibilities

• Design and architect end-to-end, scalable, and secure AI systems through deployment, operating at an architectural level rather than purely engineering.
• Lead and mentor AI engineers, providing architect-level leadership.
• Manage stakeholder requirements gathering and communication, particularly with US or UK clients.
• Build and deploy Generative AI solutions, including work with LLMs, RAG, AI agents, fine-tuning, and prompt engineering.

Requirements

• Minimum 6+ years of engineering experience, with at least 3+ years specifically in AI/ML or Machine Learning Engineering.
• Minimum 3+ years of hands-on experience building and deploying Generative AI solutions (LLMs, RAG, AI agents, fine-tuning, prompt engineering).
• Strong proficiency in Python along with AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Hands-on experience with Machine Learning, Deep Learning, and NLP, including model fine-tuning and LLMs.
• Experience with MLOps tooling (MLflow, Kubeflow, or Azure ML), a cloud platform (Azure, AWS, or GCP), and containerization (Docker, Kubernetes).
• Must come from a B2B IT services or IT consulting background.
• Strong stakeholder management and requirement-gathering experience with US or UK clients.

Preferred Qualifications

• Data engineering concepts, working with large datasets, APIs & microservices.
• Experience on production-grade AI systems; open-source AI contributions.
• Exposure to Azure Foundry and Databricks Agent Bricks.
• Certifications in AI, ML, or cloud platforms.