Senior AI/ML Platform Engineer jobs in United States
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Matrix USA · 11 hours ago

Senior AI/ML Platform Engineer

Matrix USA is a global, dynamic, fast-growing technical consultancy leading technology services company. They are seeking a Senior AI/ML Platform Engineer to lead the strategic implementation, scaling, and governance of generative AI and machine learning capabilities across enterprise cloud environments, focusing on designing and delivering production-grade AI systems.

Information Technology & Services
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H1B Sponsor Likelynote

Responsibilities

Architect and implement end‑to‑end generative AI solutions using cloud AI ecosystems such as Azure AI and Google Vertex AI
Lead development of production-grade LLM applications, including RAG pipelines, prompt engineering, fine‑tuning, LLM grounding, and multi‑agent workflows to achieve measurable business outcomes
Implement and maintain AI security controls, such as prompt‑injection defenses, adversarial attack mitigation, data‑poisoning detection, and prompt‑shielding mechanisms
Develop solutions for content filtering, output monitoring, and automated AI safety guardrails for generative systems
Design and maintain scalable MLOps and AIOps pipelines, ensuring automated retraining, model versioning, observability, and explainability with high service availability (99.9%)
Translate strategic objectives into actionable AI/ML Proof‑of‑Concepts and production systems, demonstrating ROI through iterative development and rapid prototyping
Shape technical strategy for expanding AI/ML capabilities across hybrid cloud environments, assessing emerging technologies such as small language models, agentic AI, and edge inference
Provide mentorship and technical leadership to platform engineers and data scientists on advanced ML, LLMOps, and responsible AI methodologies
Conduct technical evaluations and due diligence of AI vendors and tools, including emerging technologies such as Cohere, Anthropic, and open‑source LLM ecosystems

Qualification

Generative AILarge Language ModelsMLOps/LLMOpsPythonAzure AIGoogle Vertex AIML frameworksCI/CD for MLContainerizationStakeholder InfluenceAdvanced NLPComputer VisionTechnical LeadershipMentorship

Required

Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical discipline
5+ years of hands‑on AI/ML engineering experience, including 3+ years working directly with generative AI and LLM‑based applications
5+ years of senior‑level or executive‑facing experience with the ability to influence senior stakeholders and lead strategic technical initiatives
Expert proficiency in Python, including ML frameworks such as PyTorch and TensorFlow, and LLM orchestration frameworks including LangChain and LlamaIndex
Extensive experience with enterprise cloud AI platforms, including Azure OpenAI Service, Azure ML Studio, Databricks MLflow, and Google Vertex AI
Strong knowledge of MLOps/LLMOps practices, including CI/CD for ML (Azure DevOps, GitHub Actions), infrastructure‑as‑code (Terraform), and containerization (Docker, Kubernetes)
Experience with real‑time ML inference, streaming data architectures (Kafka, Pub/Sub), and edge deployment for low‑latency applications
Hands‑on experience with multi‑modal models, computer vision, and advanced NLP techniques beyond standard LLM text generation

Benefits

Competitive compensation and benefits

Company

Matrix USA

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Matrix USA is a leading global specialist, providing business and technology solutions specifically for the complex needs of the global Financial Banking, Payments and Capital Markets Industry.

H1B Sponsorship

Matrix USA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (1)

Funding

Current Stage
Late Stage

Leadership Team

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Inbal Gilboa-Amir
CFO
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Tally Katz MBA,CPA
CFO
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Company data provided by crunchbase