Senior Engineer – AI/ML Strategy & Delivery

Matrix USA is a global technical consultancy specializing in technology services. They are seeking a Senior Engineer to lead the strategic implementation of generative AI and machine learning capabilities across enterprise platforms, focusing on architecting and delivering production-scale AI systems to drive business impact.

Responsibilities:

• Design and deliver end‑to‑end generative AI solutions using cloud AI services such as Azure AI and Google AI to enable transformative business capabilities
• Lead development and optimization of production-grade LLM applications , leveraging techniques such as RAG (Retrieval Augmented Generation), prompt engineering, model fine‑tuning, grounding, and multi‑agent architectures
• Implement AI security controls, including prompt injection defense , adversarial attack mitigation, data poisoning detection, and prompt shielding
• Build and deploy systems for content filtering, output monitoring, and automated AI safety guardrails for generative models
• Architect scalable MLOps and LLMOps pipelines supporting model versioning, automated retraining, observability, explainability, and high availability (99.9% uptime)
• Partner closely with business stakeholders to translate strategic objectives into AI/ML proof‑of‑concepts and production solutions, demonstrating ROI through rapid prototyping and iterative delivery
• Drive enterprise-wide AI/ML technical strategy across a hybrid cloud landscape, evaluating emerging approaches including small language models , agentic AI, and edge inference strategies
• Mentor platform engineers and data scientists on advanced ML methodologies, LLM techniques, and responsible AI practices through hands‑on collaboration
• Perform technical evaluations and due diligence on AI vendors and tools, providing recommendations on technologies such as Cohere , Anthropic , and open‑source LLM ecosystems

Requirements:

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field
• Minimum 5+ years of hands-on AI/ML engineering experience, with 3+ years directly focused on generative AI and LLM-driven applications
• 5+ years of senior-level or executive-facing leadership experience in highly regulated industries, with the ability to influence senior stakeholders and drive enterprise-scale initiatives
• Expert proficiency in Python, including ML frameworks (PyTorch, TensorFlow) and LLM orchestration frameworks (LangChain, LlamaIndex)
• Deep experience with Azure OpenAI Service, Azure ML Studio, Databricks MLflow, and Google Vertex AI for enterprise model development, deployment, and monitoring
• Strong understanding of MLOps/LLMOps practices including CI/CD for ML (Azure DevOps, GitHub Actions), infrastructure-as-code (Terraform), and containerization (Docker, Kubernetes)
• Experience building real-time inference architectures, streaming ML systems (Kafka, Pub/Sub), and edge AI deployment for latency-sensitive use cases
• Hands-on experience with multi-modal models, computer vision frameworks, and advanced NLP techniques beyond typical LLM text applications