{bc}
Apply
linkedin

Lead Software Solution Architect- UAE

Insight360
Dubai, UAE
Full Time
Lead
Onsite
2 days ago
PythonTypeScriptAngularReactSQLPostgreSQL
Free

Job Fit Check

Base Career helps you apply smarter for this job.

?%
Ready to Scan

Key skills for this role

PythonTypeScriptAngular
Smart Apply

Full Job Posting

About Insight360

  • Insight360 is a forward thinking consultancy and implementation firm at the forefront of AI and data analytics.
  • We specialize in guiding organizations towards Smart Decision Support Systems.

The Role

  • We are hiring Lead Software Solution Architects whose mission is to architect and build enterprise software solutions, agentic applications, AI assistants, and intelligent platforms.
  • This is a builder architect role: you design the system and you ship it.

Key Responsibilities

  • Architect end to end software solutions: system decomposition, service boundaries, API contracts, data flows, security model, and deployment topology — then lead hands on implementation to production.
  • Enforce architecture principles in real codebases: separation of concerns, dependency discipline, testability, and evolutionary design — through ADRs, design reviews, and code reviews.
  • Produce architecture deliverables clients act on: current/target state assessments, reference architectures, C4 style diagrams, and decision records.
  • Mentor engineers, raise the team's engineering bar, and contribute technical solutions and estimates to proposals.
  • Engage technical and enterprise stakeholders: design workshops, technical presentations, and demos.
  • Build with AI acceleration as the default workflow: spec driven and agentic development with Claude/Claude Code, with full engineering ownership of everything shipped — reviewed, tested, verified.

Must Have: Languages & Core Engineering

  • Python: Expert, production grade: clean code, typing, packaging, async patterns, profiling, and test discipline (pytest, unit/integration/contract tests).
  • TypeScript/JavaScript: Working proficiency for full stack AI products (Node.js, or similar) to architect and review across the stack.
  • Frontend frameworks: Angular (preferred) or React — component architecture, state management, and API integration for building product frontends; sufficient depth to architect and review full stack solutions.
  • Development environments & AI native tooling: Visual Studio and VS Code as base IDEs; Claude Code, Cursor, or GitHub Copilot (agent mode) as daily instruments for agentic, spec driven development.
  • Data & persistence: Strong SQL and relational design (PostgreSQL/SQL Server); working knowledge of NoSQL and caching (MongoDB/Redis).
  • Platforms & DevOps: Git with disciplined branching and PR review workflows; CI/CD on Azure DevOps or GitHub Actions; Docker required, Kubernetes strongly preferred; Microsoft Azure; observability (logging, metrics, tracing — e.g., Prometheus/Grafana or Azure Monitor).
  • Enterprise & government integration: GSB, ESB/middleware (MuleSoft, Azure APIM, WSO2), SOAP/WSDL alongside REST; API gateways, OAuth2/mTLS, throttling, and integration with externally owned services.

Must Have: Software Architecture Principles — Applied, Not Recited

  • Design foundations: SOLID, separation of concerns, design patterns, clean/hexagonal architecture, domain driven design fundamentals.
  • Distributed systems: microservices and modular monolith trade offs, REST/gRPC API design, event driven architecture and messaging (Kafka or equivalent), 12 factor applications.
  • Non functionals by design: security (authN/authZ, OWASP, secrets management), scalability, resilience patterns (retries, circuit breakers, idempotency), performance, and cost.
  • Architecture communication: C4 diagrams, Architecture Decision Records, and trade off analysis that stands up to challenge.

Must Have: AI Engineering Stack

  • LLM APIs: Claude/Anthropic and OpenAI/Azure OpenAI APIs in production: tool use/function calling, structured outputs, streaming, context management, token/cost engineering.
  • Agentic frameworks: Multi agent design and orchestration with LangGraph/LangChain or equivalent; MCP based tool integration an advantage.
  • RAG: Retrieval architecture: chunking/embedding strategy, vector databases (pgvector, Qdrant, Pinecone, or Azure AI Search), hybrid retrieval, reranking.
  • AI quality & safety: Evaluation frameworks (golden sets, LLM as judge, regression suites), guardrails, hallucination controls, and production monitoring of AI behavior.
  • AI accelerated development: Claude Code (or equivalent) as a daily engineering instrument: prompt/spec decomposition, agentic coding workflows, and rigorous review of generated output.

The Skills That Make an Architect — What We Assess For

  • Trade off articulation: you defend why, not just describe what — and can argue the option you rejected.
  • Judgment under acceleration: knowing when AI generated design or code is good enough, and when it violates the architecture — catching it before production does.
  • Technical leadership: standards setting, constructive review of others' work, and mentoring.
  • Client grade communication: explaining architecture decisions to engineers and to ministerial level stakeholders with equal credibility.

Experience & Qualifications

  • 6+ years in software engineering, including 1+ years building LLM based software in production; proven enterprise scale, end to end delivery.
  • Government or large enterprise client experience; consulting environment strongly preferred; GCC an advantage.
  • 3+ years managing engineering teams with accountability for team output — including performance management, delivery cadences, and a track record of developing engineers toward promotion.
  • Bachelor's in Computer Science/Engineering or related; relevant certifications desirable; Arabic speakers preferable.

What We Value

  • Ambitious, curious, and creative.
  • Sincere and joyful in how they work.
  • Passionate about delivering impact and creating value.
  • Committed to integrity, excellence, and continuous improvement.
  • Disciplined in execution, but flexible in learning.

How to Apply?

  • Apply on this job post on Linkedin.
  • Fill the self screening form https://links.insight360.ae/Lead Software Solution Architect
  • Send your CV and portfolio to: recruiter@fsi360.com with the subject line: Lead Software Solution Architect Application UAE [Your Name]

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Insight360

Software Solutions Architect - UAE Based

Dubai, UAE

2 days agoFull Time

Junior Software Engineer

Dubai, UAE

2 days agoFull Time

Project Coordinator - UAE

Dubai, UAE

1 weeks agoFull Time

Project Coordinator - UAE

Dubai, UAE

1 months agoFull Time