AIFA Labs - AI Solution Architect

Job Title : AI Solution Architect

Location : Hyderabad

Job Type : Full-Time

Roles & Responsibilities :

- 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 microservices 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.