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Solutions Architect
Solutions ArchitectQualiZeal • sangli, maharashtra, in
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Solutions Architect

Solutions Architect

QualiZeal • sangli, maharashtra, in
21 days ago
Job description

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.

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