Solutions Architect

Job Description: Solution Architect – Enterprise Solutions Position: Solution Architect – Enterprise Solutions Experience Required: 10+ Years (enterprise solution design, architecture, and development leadership) Employment Type: Full-Time Role Overview We are seeking a visionary Solution Architect to lead the end-to-end solution design, technology integration, and architecture strategy for NexaAI, QualiZeal’s next-generation services. This role is pivotal in bridging AI-driven innovation with core enterprise engineering, ensuring that NexaAI evolves into a robust, scalable, and business-aligned ecosystem. The Solution Architect will work across multiple technology domains — cloud, DevOps, automation, data management, integrations, and user experience — thinking beyond AI to create holistic digital experiences that serve both internal and client-facing needs. Key Responsibilities Solution Design & Architecture Define and own the overall architectural blueprint for development of enterprise grade applications, integrations, and platform scalability. Design modular, API-first, and microservices-based solutions that can adapt to evolving business and AI requirements. Ensure seamless integration between AI components, core applications, and enterprise systems such as JIRA, SAP, ADO, Salesforce, and Confluence. Balance functional and non-functional requirements — scalability, reliability, security, and maintainability. Collaborate with AI Architects to embed GenAI components responsibly into broader solution workflows. Technology Leadership & Delivery Lead technical design for cross-functional development teams across frontend, backend, DevOps, and data engineering. Oversee the development of multi-tenant cloud-based platforms with reusable and configurable modules. Define standards and best practices for coding, integration, testing, and deployment across AICoE projects. Collaborate with DevOps to ensure CI/CD automation, container orchestration, and observability are embedded from inception. Architect and optimize integrations between AI engines, databases, automation systems, and third-party APIs. Ensure data flow governance, access control, and audit compliance across all development modules. Partner with Product Owners and Business Analysts to ensure technical feasibility aligns with business goals. Innovation & Strategic Alignment Bring innovation beyond AI, exploring automation, workflow engines, analytics, and digital transformation enablers. Contribute to the strategic roadmap for our AI-enabled development services, ensuring scalability across different industry use cases. Stay ahead of emerging technologies (e.g., serverless computing, event-driven architectures, low-code orchestration) . Governance, Quality & Mentorship Establish and enforce architecture governance frameworks, review processes, and quality gates. Mentor developers, technical leads, and DevOps engineers to build cross functional architectural awareness. Partner with AI Architects and Security teams to ensure Responsible AI and Secure by-design practices. Required Skills & Qualifications Experience & Expertise 10+ years of experience in software engineering and solution architecture for enterprise-grade applications. Proven experience leading large-scale cloud-native solution design (Azure, AWS, or GCP). Deep understanding of microservices, RESTful APIs, containerization, and serverless frameworks. Exposure to AI integration frameworks, RAG pipelines, or LangChain/LangGraph is an advantage but not mandatory. Technical Proficiency Strong knowledge of at least one core backend language: .NET Core, Java, or Python. Hands-on with API management (Apigee, Kong, Azure API Gateway) and integration middleware. Familiarity with CI/CD pipelines, Infrastructure-as-Code (Terraform, ARM, Helm), and DevOps automation. Understanding of database systems (SQL/NoSQL/Vector) and data orchestration frameworks. Experience with security, compliance, and governance frameworks (OAuth2, JWT, ISO standards). Professional Attributes Strong analytical and architectural thinking skills with a solution-first mindset. Exceptional communication and stakeholder management ability. Ability to balance innovation with practical implementation timelines. Demonstrated ability to lead cross-functional teams and collaborate across business and technical domains. Preferred Qualifications Exposure to enterprise-scale AI or automation platform architecture. Prior experience in digital transformation, workflow orchestration, or platform engineering. Understanding of Agile/Scaled Agile frameworks and DevSecOps practices. Experience in testing, quality engineering, and release management automation (a strong plus). What We Offer Opportunity to lead the architectural vision of enterprise-grade development, shaping the foundation for enterprise-wide AI adoption. Collaborative work with AI Architects, Cloud Engineers, and Product Leaders to deliver world-class solutions. Exposure to multi-domain technologies — from cloud-native design to AI-driven orchestration. Competitive compensation, autonomy, and leadership growth within QualiZeal’s AICoE. A culture that rewards innovation, accountability, and continuous learning.