Artificial Intelligence Architect - Virtual Agent

Job Title : AI Architect

Job Type : 6 months contract + ext

Location : Remote

Experience : 8-14 years

Key Responsibilities :

- Discovery Phase Leadership

- Client Engagement: Work directly with the client to understand and document all use cases (that are required to be built) spanning semantic search, document processing, predictive modeling, and agentic analytics

- Requirements Analysis: Translate complex business needs into detailed technical specifications with accuracy requirements (including 100% accuracy for financial compliance use cases)

- Architecture Strategy: Design future-proof, modular architecture that prevents vendor lock-in while maximizing strategic flexibility

Technical Architecture Design

- Hybrid AI Stack: Design and validate integration of DSPy + LangGraph + PromptFlow + Azure AI services

- Scalability Planning: Architect solutions for 100K user base with cost-effective licensing models

- Integration Strategy: Plan seamless integration with existing product ecosystem

- Technology Evaluation: Conduct comparative analysis of AI frameworks, providing evidence-based recommendations

Deliverable Creation :

Required Technical Expertise AI/ML Frameworks :

- LangGraph: Experience with multi-agent orchestration and complex workflow design

- Azure AI & PromptFlow: Proficiency in Microsoft's AI services and visual workflow tools

- RAG Architectures: Advanced knowledge of retrieval-augmented generation systems

Cloud & Infrastructure :

- Azure Ecosystem: Comprehensive understanding of AI Foundry, Cognitive Services, and enterprise scaling

- Microservices Architecture: Design of modular, swappable components

- API Design: RESTful services and integration patterns

- Performance Optimization: Large-scale system optimization and monitoring

Financial Services Domain :

- Regulatory Compliance: Understanding of financial data accuracy requirements and audit trails

- Document Processing: Experience with legal document parsing (LPAs, fund documents)

- Predictive Analytics: Investment modeling and risk assessment systems

- CRM Integration: Customer relationship management and sentiment analysis

Required Experience Professional Background

- 8+ years in AI/ML architecture roles with enterprise clients

- Hands-on experience with modern AI frameworks (DSPy, LangGraph, or similar)

- Proven track record of leading discovery and implementation for complex AI implementations.