Matrix USARemote
Senior Engineer – AI/ML Strategy & Delivery
United States
Full Time
1 hour ago
H1B Sponsor Likely
Key skills
AI/ML engineeringGenerative AILarge language modelsMLOps/LLMOps practicesPythonAzure OpenAI ServiceML frameworksReal-time inference architecturesTechnical evaluationsLeadership experienceMentoringAIMachine LearningMLNLPComputer VisionLLMOpenAIAnthropicRAGLangChainLlamaIndexAgenticPyTorchTensorFlowMLOpsMLflowDatabricksKafkaAzureTerraformKubernetesDockerGitHub ActionsAzure DevOpsPub/SubVertex AIGitHubCI/CDLeadershipPrototypingCollaboration
About this role
Matrix USA is a global, dynamic, fast-growing technical consultancy leading technology services company. They are seeking a Senior AI/ML 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 that drive measurable 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