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Flatgigs

Software Solution Architect – AI, Startup Technology

Flatgigs

. Conduct in-depth technical assessments of startups being considered by the Startup Program .

Posted 9/30/2026full-timeDubai • United Arab EmiratesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in evaluating and architecting enterprise-grade software products, with a strong focus on integrating AI capabilities and ensuring scalability, security, and maintainability. Proven ability to translate complex technical findings into actionable insights for stakeholders and guide startups through the commercialization of their technology.

Highest-signal resume keywords
Software EngineeringSolution ArchitectureArtificial IntelligenceMachine LearningAPIs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software ArchitectureProduct ArchitectureEnterprise Solution ArchitectureAI/ML IntegrationCloud ArchitectureMicroservicesData PlatformsTechnical Debt AssessmentScalability EvaluationDeployment Models
Soft Skills
Technical LeadershipStakeholder CommunicationProblem SolvingCollaborationAdvisory Skills
Tools & Technologies
APIsDistributed SystemsIntegration PatternsNLPGenerative AILLMsRAGData PipelinesKnowledge SystemsVector Search
Industry Keywords
Startup ProgramProduct RoadmapEnterprise DeploymentMVPTechnical Feasibility

Tech Stack

Tools & technologies
CloudDistributed SystemsMicroservices

About the role

Key responsibilities & impact
  • Conduct in-depth technical assessments of startups being considered by the Startup Program
  • Understand each startup's product, underlying technology, architecture, engineering approach, AI capabilities, and technical roadmap
  • Evaluate technology validation, product maturity, scalability, maintainability, extensibility, reliability, and enterprise readiness
  • Evaluate software architecture, infrastructure, APIs, integrations, data architecture, AI/ML components, security considerations, and deployment models
  • Identify architectural limitations, technical debt, scalability challenges, dependencies, and other material technology risks
  • Assess the technical feasibility of startup product roadmaps and future technology ambitions
  • Translate technical findings into recommendations and insights for leadership and stakeholders
  • Assess AI-driven products and platforms across Artificial Intelligence, Machine Learning, NLP, Generative AI, and modern AI architectures
  • Review architectures involving LLMs, RAG, AI agents, model integrations, embeddings, vector search, knowledge systems, APIs, and data pipelines
  • Provide architectural guidance for integrating AI capabilities into scalable software products
  • Evaluate and guide the evolution of prototypes or MVPs into scalable commercial software products
  • Assess product architecture for enterprise deployment, multi-tenancy, scalability, security, observability, maintainability, availability, and integration
  • Guide startups on architectural improvements, technical foundations, scaling, and commercialization
  • Develop understanding of the client's technology portfolio, platforms, APIs, products, and capabilities
  • Identify and design integration opportunities and solution architectures between client technologies and startup platforms
  • Define integration requirements, architecture, interfaces, dependencies, and implementation approaches with engineering teams
  • Support integrations from concept through implementation and production deployment
  • Act as a trusted technical advisor to selected startups
  • Provide architectural and technical leadership to startup engineering teams
  • Work with startup CTOs, technical founders, architects, and engineering teams on complex technology decisions
  • Support scalable technical strategies and architecture roadmaps

Requirements

What you’ll need
  • Significant professional experience in Software Engineering, Solution Architecture, Software Architecture, Product Architecture, or Enterprise Solution Architecture
  • Strong hands-on technical foundation with the ability to understand complex software systems beyond high-level architecture diagrams
  • Proven experience designing and architecting enterprise-grade software products and platforms
  • Strong expertise in Artificial Intelligence, Machine Learning, NLP, and modern AI architectures
  • Practical experience integrating AI capabilities into production software products
  • Strong understanding of APIs, microservices, distributed systems, cloud architecture, data platforms, integration patterns, and modern software engineering practices
  • Demonstrated experience taking software products or platforms from concept/MVP through productization and production deployment
  • Experience assessing scalability, availability, security, performance, maintainability, and technical debt within software platforms
  • Ability to evaluate unfamiliar technology stacks and rapidly understand how complex products have been architected
  • Experience working directly with customers, founders, executives, product leaders, or other senior stakeholders
  • Strong ability to translate business and product requirements into scalable technical architectures

Benefits

Comp & perks
  • Credits and Cash Investment
  • Medical Insurance
  • Annual Flight Home
  • Hybrid Working
  • Unlimited Leave
  • Team Stock Option Pool