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.