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.