AI ML Architect

Job Title: AI/ML Architect Location: New York, NY (Hybrid - once in a while for PI meetings) Duration: 6+ Months Role Summary: We are seeking a seasoned AI/ML Architect to lead the design and implementation of scalable, secure, and intelligent AI and machine learning solutions across the enterprise. The ideal candidate will bridge business strategy and advanced technical execution, setting the architectural vision for AI/ML initiatives at scale and driving end-to-end delivery aligned with business outcomes. Key Responsibilities: • Define and drive the AI/ML architecture strategy, ensuring alignment with enterprise goals and emerging technological trends. • Architect end-to-end AI/ML solutions including data pipelines, model training and evaluation frameworks, deployment pipelines, and monitoring/MLops systems. • Collaborate with data engineers, data scientists, software engineers, product owners, and enterprise IT teams to translate business requirements into robust technical solutions. • Lead technical selection of tools, frameworks, and platforms, balancing performance, scalability, security, and cost. • Establish best-practice standards for model governance, version control, lifecycle management, and ethical AI principles. • Provide technical leadership, mentorship, and guidance to engineering teams throughout the AI/ML delivery lifecycle. • Ensure seamless integration with existing enterprise systems and data architectures, including cloud services and microservices environments. • Communicate technical strategy and outcomes to senior leadership and stakeholders, including risks and mitigations. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field; advanced degrees preferred. • 8+ years of experience in AI/ML systems architecture, engineering, or similar senior technical leadership roles. • Proven track record designing, deploying, and scaling enterprise-grade AI/ML solutions. • Deep expertise with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. • Strong command of cloud platforms (AWS, Azure, or GCP) and their native AI/ML services (e.g., SageMaker, Azure ML, Vertex AI). • Experience with MLOps practices — CI/CD for models, automated retraining, monitoring, logging, and drift detection. • Proficiency in programming languages (Python required; Java, Scala, or Go desirable). • Familiarity with big data ecosystems (Hadoop/Spark), containerization (Docker/Kubernetes), and distributed systems. • Strong analytical and problem-solving capabilities with excellent communication skills to articulate architecture decisions to technical and non-technical stakeholders. Preferred Skills: • Experience with large language models (LLMs), generative AI, or advanced deep learning deployments. • Certifications in cloud architecture or AI/ML engineering (e.g., AWS Solutions Architect, Azure AI Engineer). • Familiarity with AI governance, compliance, and ethical frameworks in regulated industries (financial services preferred).