AI Solutions Architect

About

Our client is seeking an innovative and experienced AI Solutions Architect to spearhead the design and implementation of cutting‑edge artificial intelligence and machine learning solutions. This role will engage with business stakeholders to understand their challenges and translate them into technical requirements, architecting scalable and robust AI systems. You will leverage your expertise in various AI/ML domains, cloud platforms, and data science principles to deliver impactful solutions. This is a hybrid position, requiring a blend of remote work and on‑site collaboration.

Responsibilities

• Collaborate with business units to identify opportunities for AI/ML integration and develop strategic roadmaps.
• Design end‑to‑end AI/ML solutions, including data ingestion, feature engineering, model selection, training, deployment, and monitoring.
• Architect scalable and efficient machine learning pipelines on cloud platforms (AWS, Azure, GCP).
• Evaluate and select appropriate AI/ML algorithms and frameworks for specific business problems.
• Develop proof‑of‑concepts (POCs) and prototypes to demonstrate the value of AI solutions.
• Provide technical guidance and mentorship to data scientists and engineers involved in AI/ML projects.
• Ensure AI solutions are aligned with ethical AI principles, data privacy regulations, and security best practices.
• Stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
• Communicate complex technical concepts effectively to both technical and non‑technical audiences.
• Define MLOps strategies for robust deployment, monitoring, and management of AI models in production.

Qualifications

• Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
• 5+ years of experience in AI/ML development, with at least 2 years in a solutions architecture role.
• Proven experience architecting and deploying AI/ML solutions in production environments, preferably on cloud platforms.
• Deep understanding of various ML algorithms (supervised, unsupervised, deep learning) and their applications.
• Proficiency in programming languages such as Python and associated libraries (e.g., TensorFlow, PyTorch, scikit‑learn).
• Experience with MLOps principles and tools.
• Strong knowledge of cloud computing platforms (AWS, Azure, or GCP) and their AI/ML services.
• Excellent analytical, problem‑solving, and communication skills.
• Ability to translate business needs into technical specifications and solution designs.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.

Location & Work Arrangement

This hybrid role, with a primary focus supporting innovation around Virginia Beach, Virginia, US, offers the flexibility of remote work combined with essential in‑office collaboration.

If you are passionate about harnessing the power of AI to drive business transformation, we invite you to apply.