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

Skills: leadership,integration,optimization,architecture,gen ai,artificial intelligence