AI Architect

Company Description

Technocratic Solutions is a leading provider of contract-based technical resources, serving businesses worldwide with top-notch software solutions. Our expert team specializes in cutting-edge technologies such as PHP, Java, JavaScript, Drupal, QA, Blockchain AI, and more. We empower businesses by providing high-quality technical resources that meet their project requirements effectively. Committed to exceptional customer service, we continuously enhance our services to maintain our reputation as a reliable partner focused on customer success. Join us and experience the difference of working with a partner driven by excellence. Key ResponsibilitiesLooking for 10 years of experience in AI architect 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• Prototype Development: Build working demos demonstrating key capabilities and optimization approaches • Cost-Benefit Analysis: Justify investment into a tech stacks by comparing it against other stacks for the long-term roadmap. • Implementation Roadmap: Detailed phased approach from pilot to full production deployment Strategic Planning • Long-term Vision: Create long term technology evolution plan preventing costly refactoring • Risk Assessment: Identify and mitigate stack lock-in risks and technical dependencies • Go-to-Market Strategy: Define pilot features for rapid market entry while building toward comprehensive platform Required Technical Expertise AI/ML Frameworks • DSPy: Deep understanding of automated prompt optimization, few-shot learning, and algorithmic tuning • 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 system 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 • 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 • Technical Feasibility Studies: Comprehensive analysis for all the use-cases of the requirementFinancial Services Domain [Good to have) • 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 Client Management • Executive Communication: Ability to present technical concepts to C-level stakeholders • Requirements Gathering: Expert in translating business needs to technical specifications • Stakeholder Management: Experience managing demanding, detail-oriented clients • Documentation: Exceptional technical writing and presentation skills Technical Leadership • Architecture Design: Led design of scalable AI systems serving 50K+ users • Technology Evaluation: Experience conducting comparative analysis of AI platforms • Prototype Development: Hands-on coding ability for proof-of-concept development • Cost Estimation: Accurate project scoping and resource planningPreferred Qualifications Advanced Expertise • PhD/MS in Computer Science, AI/ML, or related field • Publications/Patents in AI optimization or enterprise AI architecture • Speaking Experience at AI conferences or industry events • Open Source Contributions to AI frameworks or libraries Industry Experience [Good to have] • Private Equity/Investment Management domain knowledge • Regulatory Technology experience with audit and compliance systems • Enterprise AI Deployments at scale (100K+ users) • Cost Optimization experience with AI workloads and licensing models Key Success Metrics Discovery Phase Outcomes • Client Approval: Scott approves progression to development phase based on discovery results • Technical Validation: All use cases of the requirement deemed technically feasible with proposed architecture • Cost Justification: Clear ROI demonstration for 4x cost premium over SFDC alternative • Timeline Adherence: Discovery completed within agreed timeframe and budget. Application Requirements Portfolio Submission • Architecture Samples: 2-3 examples of complex AI system designs you've led • Case Studies: Detailed examples of discovery phase leadership with measurable outcomes • Technical Writing: Samples of technical documentation for executive audiences • Client References: References from previous discovery/consulting engagements Technical Assessment • Architecture Design: Live design session for a sample use case from Scott's requirements • Framework Knowledge: Deep-dive technical discussion on DSPy optimization approaches • Business Acumen: Case study analysis of technology investment decisions • Client Interaction: Mock discovery session with simulated challenging client requirements. Architecture Quality • Future-Proof Design: Architecture prevents vendor lock-in and supports long-term evolution • Scalability Validation: 100K user performance and cost models validated • Integration Feasibility: Seamless integration strategy with the product confirmed • Accuracy Framework: 100% accuracy requirements for financial compliance addressed