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.