What are the responsibilities and job description for the Solutions Architect position at Veritis Group Inc?
Role: Solutions Architect
Location: Phoenix, AZ-Locals (Hybrid)
Exp: 13 Years
Knowledge:
- Enterprise & Cloud Architecture: Deep understanding of distributed systems, microservices, API-first design, and major cloud platforms (Salesforce, Azure, GCP), including their native AI/ML stacks (e.g. Azure AI Studio).
- AI/ML & Generative AI Ecosystems: Comprehensive knowledge of the AI lifecycle, Foundation Models (LLMs, SLMs), Natural Language Processing (NLP), computer vision, vector databases, and retrieval-augmented generation (RAG) architectures.
- MLOps & Data Engineering: Understanding CI/CD for machine learning (MLOps), data pipelines, data lakes/warehouses, and model deployment, monitoring, and retraining strategies.
- Security, Privacy & AI Ethics: Knowledge of data privacy regulations (CCPA), AI compliance frameworks (NIST AI RMF, EU AI Act), data residency, and techniques for mitigating AI bias, toxicity, and hallucinations.
- Architecture Frameworks & Methodologies: Familiarity with standard architectural frameworks (e.g., TOGAF, Zachman) and Agile/Scrum project management methodologies.
- FinOps & Cloud Economics: Understanding cloud cost management, particularly the cost structures associated with AI compute (GPUs, TPUs) and API token-based pricing models.
Required Skills:
- At least 3 years as a Lead experience managing employees
- AI experience
- Jira or DevOps experience
- Agile Methodology