Genesis10 · 3 hours ago
AI Solution Architect
Genesis10 is seeking an AI Solution Architect for their client in the wealth management industry. The role involves translating business goals into secure, scalable architectures and delivering production AI solutions that drive measurable outcomes while partnering with cross-functional teams.
Information ServicesInformation Technology
Responsibilities
NFRs (for example, P95 latency, accuracy targets, uptime, cost caps) and an end-to-end target architecture
End-to-end design and trade-offs: Select patterns (prompting, RAG, fine-tuning), model class/size, vector store, data plane, and serving plane (for example, AKS GPU pools, ACR/JFrog, Cosmos DB, Azure AI Search, Databricks/Unity Catalog), balancing cost, performance, and complexity
Security, privacy, and compliance by design: Enforce data residency, Entra integration, Key Vault, Private Link, PII handling, Responsible AI controls, auditability, model governance, and approval workflows
Integration strategy: Define how AI services integrate with applications, data lakes, event streams, APIs, and identity; design guardrails and fallbacks (circuit breakers, red teaming, content filtering)
Build-versus-buy and vendor management: Evaluate SaaS versus bespoke solutions, negotiate SLOs and TCO, define acceptance tests, and manage exit strategies
Operating model and FinOps: Plan capacity, cost guardrails, multi-region DR (RTO/RPO), release strategy, and boundaries
Program orchestration: Align data, platform, application, security, and legal stakeholders; maintain the roadmap and decision records
Business to technology mapping: Convert use cases (KPIs, ROI, risk) into measurable
Qualification
Required
10+ years delivering enterprise technology solutions, including 3+ years in solution architecture for AI/ML systems
Strong knowledge of Azure architecture (AKS, networking, Private Link, Key Vault, Managed Identities) and data platforms (Databricks/Unity Catalog, Azure AI Search, Cosmos DB)
Experience with ML lifecycle and inference optimization; able to guide teams on prompting, RAG, and fine-tuning strategies
Proficiency in Python or similar languages; familiarity with ML frameworks (scikit-learn, XGBoost, TensorFlow, and PyTorch)
Experience with NVIDIA NeMo for model customization and NIMs for optimized inference
Demonstrated security, privacy, and compliance design experience
Advanced degree in Computer Science, Data Science, Statistics, or a related field
Benefits
Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.
The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
Behavioral Health Platform
Medical, Dental, Vision
Health Savings Account
Voluntary Hospital Indemnity (Critical Illness & Accident)
Voluntary Term Life Insurance
401K
Sick Pay (for applicable states/municipalities)
Commuter Benefits (Dallas, NYC, SF & Illinois)