AI Solutions Architect

Title: AI Solution Architect - AiFA Labs

Location: Hyderabad

Position Overview

AiFA Labs is seeking a highly experienced Principal AI Solution Architect to serve as the strategic design authority and technical owner for all AI solution architectures across our entire project portfolio. This role combines deep technical expertise with comprehensive solution ownership, responsible for designing, overseeing, and ensuring the successful delivery of all AI solution designs for both ongoing and new projects. As the Principal AI Solution Architect, you will be the single point of accountability for solution design excellence across AiFA Labs' diverse client engagements and product development initiatives.

Solution Ownership & Design Authority

Portfolio-Wide Solution Design Ownership

Complete accountability for all AI solution architectures across AiFA Labs' entire project portfolio, including Product-led implementations.Design authority for all technical solutions, ensuring consistency, quality, and alignment with business objectives across all projectsEnd-to-end ownership of solution lifecycle from initial business requirements through deployment and maintenanceStrategic oversight of solution design processes, establishing standards, methodologies, and best practices for the entire organization

 Solution Design Leadership

Lead comprehensive solution design activities for all AI initiatives, translating business requirements into detailed technical architecturesCreate architectural blueprints that define the technical vision, integration patterns, and implementation roadmaps for complex AI solutionsEstablish design governance frameworks ensuring all solutions meet scalability, security, performance, and maintainability requirementsDrive solution standardization across projects while maintaining flexibility for client-specific customizations

 Core Technical Responsibilities

AI Solution Architecture Design

Design enterprise-scale AI architectures that integrate generative AI, machine learning, and traditional enterprise systems across diverse client environmentsDevelop comprehensive data architectures supporting AI workloads, including data pipelines, model training infrastructure, and real-time inference systemsCreate integration strategies for seamless connectivity between AI solutions and enterprise applications (SAP, CRM, ERP systems)Architect cloud-native AI solutions leveraging multi-cloud environments and containerized deployments for optimal scalability

Technology Stack Selection & Optimization

Evaluate and select optimal technology stacks for each project considering performance, cost, scalability, and integration requirementsDesign microservices architectures for AI applications ensuring modularity, maintainability, and independent deployment capabilitiesImplement MLOps/LLMOps frameworks for automated model lifecycle management, continuous integration, and deploymentEstablish monitoring and observability solutions for AI systems including performance metrics, model drift detection, and system health monitoring

 Solution Integration & Implementation

 Oversee complex system integrations between AI components and existing enterprise infrastructure, ensuring seamless data flow and functionalityDesign API strategies for AI services, establishing standardized interfaces for internal and external system interactionImplement security frameworks for AI solutions addressing data privacy, model protection, and regulatory compliance requirementsOptimize solution performance through architectural improvements, caching strategies, and resource allocation optimization

Project Portfolio Management

Multi-Project Design Coordination

Coordinate solution designs across multiple concurrent projects, ensuring resource optimization and knowledge sharingManage design dependencies between projects, identifying opportunities for component reuse and architectural standardizationEstablish project prioritization frameworks for design activities, balancing client commitments with strategic product developmentDrive portfolio-wide architectural decisions that impact multiple projects and long-term technology strategy

Solution Design Governance

Implement design review processes ensuring all solutions meet quality, security, and performance standards before implementationEstablish architectural documentation standards providing comprehensive solution blueprints for development teams and stakeholdersConduct regular architecture assessments across the project portfolio to identify optimization opportunities and technical debt reductionManage solution design risks proactively identifying and mitigating potential technical challenges across all projects

Stakeholder Engagement & Leadership

Client Solution Leadership

Serve as primary technical advisor to Fortune 500 clients on complex AI solution architectures and strategic technology decisionsLead solution design workshops with client stakeholders, translating business requirements into comprehensive technical solutionsPresent architectural visions to executive audiences, demonstrating how AI solutions will deliver measurable business valueManage client expectations regarding solution capabilities, implementation timelines, and ongoing maintenance requirements

Internal Team Leadership

Lead cross-functional design teams including AI engineers, data scientists, and integration specialists across all projectsMentor solution architects and senior technical staff, fostering solution design excellence throughout the organizationCollaborate with project managers to ensure solution designs align with project timelines, budgets, and resource constraintsDrive knowledge sharing across project teams, establishing communities of practice for solution design methodologies

 Required Qualifications & Experience

 Educational Background & Experience

Master's degree in Computer Science, AI, Systems Architecture, or related field; PhD strongly preferredMinimum 12-15 years of solution architecture experience with at least 8+ years focused on AI/ML solutionsProven track record of owning and delivering complex solution designs for enterprise-scale AI implementationsExtensive experience managing multiple concurrent projects and solution design activities

Technical Expertise

Expert-level proficiency in AI/ML technologies including generative AI, large language models, computer vision, and natural language processingDeep understanding of enterprise integration patterns, API design, and micro services architecturesComprehensive knowledge of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML servicesStrong experience with data architecture, real-time streaming, and big data technologies (Kafka, Spark, Hadoop)

Solution Design Expertise

Mastery of solution architecture methodologies including TOGAF, enterprise architecture frameworks, and design patternsExtensive experience with solution design tools (enterprise architecture tools, diagramming software, modelling frameworks)Proven ability to design scalable, secure, and maintainable solutions that meet both functional and non-functional requirementsDeep knowledge of integration technologies, middleware platforms, and enterprise application connectivity
 

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