AI Solution Architect

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 projects
End-to-end ownership of solution lifecycle from initial business requirements through deployment and maintenance
Strategic 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 architectures
Create architectural blueprints that define the technical vision, integration patterns, and implementation roadmaps for complex AI solutions
Establish design governance frameworks ensuring all solutions meet scalability, security, performance, and maintainability requirements
Drive 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 environments
Develop comprehensive data architectures supporting AI workloads, including data pipelines, model training infrastructure, and real-time inference systems
Create 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 requirements
Design microservices architectures for AI applications ensuring modularity, maintainability, and independent deployment capabilities
Implement MLOps/LLMOps frameworks for automated model lifecycle management, continuous integration, and deployment
Establish 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 functionality
Design API strategies for AI services, establishing standardized interfaces for internal and external system interaction
Implement security frameworks for AI solutions addressing data privacy, model protection, and regulatory compliance requirements
Optimize 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 sharing
Manage design dependencies between projects, identifying opportunities for component reuse and architectural standardization
Establish project prioritization frameworks for design activities, balancing client commitments with strategic product development
Drive 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 implementation
Establish architectural documentation standards providing comprehensive solution blueprints for development teams and stakeholders
Conduct regular architecture assessments across the project portfolio to identify optimization opportunities and technical debt reduction
Manage 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 decisions
Lead solution design workshops with client stakeholders, translating business requirements into comprehensive technical solutions
Present architectural visions to executive audiences, demonstrating how AI solutions will deliver measurable business value
Manage 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 projects
Mentor solution architects and senior technical staff, fostering solution design excellence throughout the organization
Collaborate with project managers to ensure solution designs align with project timelines, budgets, and resource constraints
Drive 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 preferred
Minimum 12-15 years of solution architecture experience with at least 8+ years focused on AI/ML solutions
Proven track record of owning and delivering complex solution designs for enterprise-scale AI implementations
Extensive 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 processing
Deep understanding of enterprise integration patterns, API design, and micro services architectures
Comprehensive knowledge of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services
Strong 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 patterns
Extensive 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 requirements
Deep knowledge of integration technologies, middleware platforms, and enterprise application connectivity