What are the responsibilities and job description for the AI/MLSolution Architect position at HAN IT Staffing Inc.?
Role: AI/ML Solution Architect
Location: Piscataway, NJ - Hybrid
Contract position
Location: Piscataway, NJ - Hybrid
Contract position
Role Overview
The Solution Architect is responsible for designing the end-to-end technology architecture for the CEC platform, ensuring it delivers a scalable, secure, AI-native, and integrated solution across Wealth, Health, and Career segments.
This role translates business vision and product requirements into a cohesive technical architecture, integrating data, AI/ML, GenAI, and enterprise systems into a unified Advisory Operating System.
Key Responsibilities 1. End-to-End Solution Architecture
Define the overall architecture blueprint for CEC, including:
Frontend (UX/UI, co-pilot interfaces)Backend services and APIs
Data platform and pipelines AI/ML and GenAI components
Ensure alignment with enterprise architecture standards
2. AI-Native Architecture Design architecture for:
ML-based Truth Engine (deterministic models) GenAI layer (LLMs, co-pilot, RAG pipelines)
Ensure clear separation between predictive models and generative AI
Enable real-time decisioning and signal processing
3. Data & Integration Architecture Define integration patterns for:
Internal systems (CRM, data warehouses, research platforms)
External data sources (market, regulatory signals)
Ensure seamless flow of data into the Golden Record
Design APIs and event-driven architectures for scalability and flexibility
4. Technology Selection & Standards
Evaluate and select technology stack, tools, and frameworks
Define architecture principles, design patterns, and standardsEnsure use of cloud-native and microservices-based architectures
5. Scalability, Performance & Resilience
Design for high performance, scalability, and availability. Implement caching, load balancing, and fault-tolerant mechanisms
Optimize the system for large-scale data processing and concurrent users
6. Security, Governance & Compliance
Ensure architecture adheres to: Data security and privacy standards, AI governance and explainability requirements. Enable auditability, traceability, and regulatory compliance
The Solution Architect is responsible for designing the end-to-end technology architecture for the CEC platform, ensuring it delivers a scalable, secure, AI-native, and integrated solution across Wealth, Health, and Career segments.
This role translates business vision and product requirements into a cohesive technical architecture, integrating data, AI/ML, GenAI, and enterprise systems into a unified Advisory Operating System.
Key Responsibilities 1. End-to-End Solution Architecture
Define the overall architecture blueprint for CEC, including:
Frontend (UX/UI, co-pilot interfaces)Backend services and APIs
Data platform and pipelines AI/ML and GenAI components
Ensure alignment with enterprise architecture standards
2. AI-Native Architecture Design architecture for:
ML-based Truth Engine (deterministic models) GenAI layer (LLMs, co-pilot, RAG pipelines)
Ensure clear separation between predictive models and generative AI
Enable real-time decisioning and signal processing
3. Data & Integration Architecture Define integration patterns for:
Internal systems (CRM, data warehouses, research platforms)
External data sources (market, regulatory signals)
Ensure seamless flow of data into the Golden Record
Design APIs and event-driven architectures for scalability and flexibility
4. Technology Selection & Standards
Evaluate and select technology stack, tools, and frameworks
Define architecture principles, design patterns, and standardsEnsure use of cloud-native and microservices-based architectures
5. Scalability, Performance & Resilience
Design for high performance, scalability, and availability. Implement caching, load balancing, and fault-tolerant mechanisms
Optimize the system for large-scale data processing and concurrent users
6. Security, Governance & Compliance
Ensure architecture adheres to: Data security and privacy standards, AI governance and explainability requirements. Enable auditability, traceability, and regulatory compliance