AI Solution Architect

Must Have Technical/Functional Skills

• Strong understanding of AI/ML concepts: supervised/unsupervised learning, deep learning, NLP, computer vision, LLMs
• Experience with ML frameworks:
  Tensor Flow, PyTorch, Scikit-learn
• Hands‑on experience with MLOps tools and practices
• Strong data engineering knowledge (ETL, data lakes, streaming)
• API design and microservices architecture
• Proficiency in Python or similar languages
• Experience designing distributed and scalable systems
• Knowledge of containers and orchestration (Docker, Kubernetes)
• Design end‑to‑end AI/ML solutions aligned with business objectives
• Define AI system architectures including data pipelines, model lifecycle, APIs, and deployment strategies
• Evaluate and select appropriate AI/ML models, frameworks, and platforms
• Ensure scalability, performance, security, and reliability of AI systems
• Collaborate with data scientists to operationalize models (MLOps)
• Guide teams on model training, validation, deployment, monitoring, and retraining
• Design data architectures for structured and unstructured data
• Establish best practices for AI governance, explainability, and bias mitigation

• Expertise in Azure
• Experience designing distributed and scalable systems
• Knowledge of containers and orchestration (Docker, Kubernetes)

• Design end‑to‑end AI/ML solutions aligned with business objectives
• Define AI system architectures including data pipelines, model lifecycle, APIs, and deployment strategies
• Evaluate and select appropriate AI/ML models, frameworks, and platforms
• Ensure scalability, performance, security, and reliability of AI systems
• Collaborate with data scientists to operationalize models (MLOps)
• Guide teams on model training, validation, deployment, monitoring, and retraining
• Design data architectures for structured and unstructured data
• Establish best practices for AI governance, explainability, and bias mitigation

$110,000-$150,000 per year

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

BACHELOR OF COMPUTER SCIENCE