Job Title:
AI Architect – Discovery Phase Lead
Experience:
8+ Years
Location:
Remote
Employment Type:
Contract
Domain:
Financial Services / Enterprise AI
Position Overview
We are looking for a visionary
AI Architect
to lead the
discovery and technical planning phase
of a high-scale, next-generation AI platform designed for the financial services sector. This role involves deep engagement with stakeholders, crafting a modular, future-proof AI architecture, and translating regulatory-driven business requirements into an actionable roadmap. You will play a critical role in validating technical feasibility, cost efficiency, and long-term scalability for a platform aimed at 100K+ users.
Key Responsibilities
🔍
Discovery Phase Leadership
- Engage directly with clients and stakeholders to identify use cases across semantic search, document processing, predictive analytics, and agentic workflows.
- Translate business and regulatory requirements (e.g., 100% accuracy for financial compliance) into detailed technical specifications.
- Design modular, vendor-neutral architecture aligned with long-term strategic flexibility.
- Conduct cost-benefit analysis and provide clear ROI justifications against alternatives like Salesforce.
🏗️
Technical Architecture Design
- Architect a hybrid AI stack using DSPy, LangGraph, PromptFlow, and Azure AI Services.
- Ensure scalability and cost-efficiency for 100K+ user base, while mitigating vendor lock-in.
- Evaluate and recommend AI frameworks, ensuring seamless integration with existing enterprise ecosystems.
- Lead prototype development and technical feasibility studies to de-risk downstream builds.
📈
Strategic Planning and Roadmapping
- Deliver a phased implementation roadmap from pilot to full production.
- Propose a future evolution plan to prevent costly reengineering.
- Define integration points for CRM, data lakes, compliance systems, and other internal platforms.
- Collaborate with enterprise architects and DevOps to ensure system readiness.
Technical Skills & Required Expertise
🧠
AI/ML Technologies
- Strong expertise in DSPy (prompt optimization, few-shot learning)
- Hands-on with LangGraph (multi-agent orchestration)
- Proficiency in Azure AI & PromptFlow
- Deep understanding of RAG architectures and semantic search systems
☁️
Cloud & Infrastructure
- Hands-on experience in Azure Cognitive Services, AI Foundry, and Microservices
- Strong knowledge of REST APIs, cloud cost optimization, and monitoring
- Experience designing for enterprise scale (50K+ to 100K+ users)
🧾 Domain Knowledge (Preferred)
- Familiarity with financial services regulations, audit trails, and compliance architecture
- Experience in parsing legal documents (e.g., LPAs, fund documents)
- Understanding of investment modeling and sentiment analytics
Required Experience
- 8+ years in AI/ML architecture roles, with enterprise-scale system delivery
- Proven experience leading discovery phases, building roadmaps, and creating technical artifacts
- Prior experience designing hybrid AI platforms with open frameworks (e.g., DSPy, LangChain, LangGraph, PromptFlow)
- Hands-on experience developing proof-of-concepts and prototypes
Soft Skills & Leadership Attributes
- Ability to present technical strategy to C-level stakeholders
- Expert in requirement gathering, solution mapping, and stakeholder management
- Strong technical writing skills and documentation ownership
- Confident in client interactions, including mock discovery and technical assessments
Preferred Qualifications
- MS/PhD in Computer Science, AI/ML, or related field
- Publications or patents in enterprise AI architecture
- Speaker at AI industry conferences
- Contributions to open-source AI tooling
Skills: azure ai services,analytics,enterprise,ai/ml technologies,compliance,cloud,architecture,financial services,azure,promptflow,azure cognitive services,ml,dspy,ai foundry,rest apis,langgraph,microservices
