Enterprise Architect

About Comviva:

Comviva empowers organizations to drive transformative growth with measurable business impact. Our AI-driven digital solutions and intelligent platforms enable our customers to unlock new revenue opportunities, enhance customer experiences, and simplify operational complexities to achieve exponential success.

From maximizing customer lifetime value to enabling large-scale digital transformation, Comviva is trusted by 200+ global communication service providers and enterprises to solve complex challenges and prepare for the future. With our solutions deployed across 100+ countries, Comviva has brought the benefits of digital innovation and mobility to billions worldwide. As a Tech Mahindra Company and a member of the Mahindra Group, Comviva is committed to driving growth, efficiency, and transformation for tomorrow. Backed by a strong R&D foundation, 70+ patents, and recognition from Gartner, Forrester, IDC, and Juniper Research, we are trusted for our innovation, technology excellence, and the impact we create for our customers, communities, and the industry.

Why Join Us

At Comviva, you get the best of both worlds the agility and innovation of a startup, powered by the scale and stability of a global enterprise. We foster a people-first, inclusive, and empowering culture where ideas thrive, and individuals grow. Join us to create meaningful impact, collaborate with high-performing teams, and advance your career with one of the world's most trusted brands the Mahindra Group.

Job Description

Key Responsibilities

Enterprise Architecture Leadership

• Develop and maintain the

  enterprise architecture blueprint

  covering applications, integration, data, security, and infrastructure.
• Define and standardize the

  enterprise tech stack

  across backend, UI, and integration layers.
• Champion

  open-source adoption

  where it offers business and technology advantages.

Generative AI Solutioning

• Architect

  enterprise-grade Generative AI

  solutions using both

  cloud-native

  and

  open-source AI frameworks

  (Hugging Face, LangChain, LLaMA, Haystack).
• Implement

  RAG pipelines

  , model fine-tuning, and AI integration into existing enterprise systems.
• Integrate AI capabilities with existing tech stack through APIs and microservices.

UI & Backend Technology Strategy

• Define and guide adoption of modern

  backend technologies

  : Java/Spring Boot, Angular, GO Lang, Python
• Define

  frontend/UI stack

  standards: Angular, React, Vue.js, Web Components.
• Ensure integration best practices for REST, GraphQL, and event-driven systems (Kafka, RabbitMQ).
• DevOps best practices

Open Source Technology Leadership

• Drive adoption of

  open-source platforms

  for AI, integration, and development frameworks.
• Oversee governance, licensing compliance, and lifecycle management for open-source usage.

Governance & Compliance

• Establish enterprise AI governance frameworks
• Define policies for secure and compliant use of enterprise and open-source software.

Stakeholder Engagement

• Collaborate with business leaders, product managers, and engineering teams to align architecture with strategy.
• Mentor teams in enterprise architecture, AI, and open-source technologies.

Required Skills & Qualifications

Education:

Experience:

• 15+ years in IT, with 10+ years in enterprise architecture.
• 3+ years in

  Generative AI / LLM solutioning

  with hands-on project delivery.
• Proven

  hands-on

  work in enterprise backend and UI development.

Technical Expertise:

• Enterprise architecture frameworks (

  TOGAF, Zachman, FEAF

  ).
• Backend:

  Java/Spring Boot, .NET Core, Node.js, Python

  .
• UI:

  Angular, React, Vue.js

  .
• AI/ML: Hugging Face, LangChain, LLaMA, Haystack.
• Databases: SQL (PostgreSQL, Oracle, MySQL), NoSQL (MongoDB, Cassandra), Vector DBs (Milvus, Weaviate, FAISS).
• Cloud: AWS, Azure, GCP.
• Integration: REST, GraphQL, Kafka, RabbitMQ, API Gateway.

• Soft Skills:

  Strong leadership, solution design, and communication abilities.

Preferred Qualifications

• Multi-modal AI (text, image, audio, video) experience.
• MLOps and DevOps with open-source tools (MLflow, Kubeflow, Jenkins, ArgoCD).
• Contributions to enterprise or open-source architecture frameworks.