Solution Architect - Application & AI Engineering

8 - 10 years

20 - 30 Lacs

Posted:1 day ago| Platform: Indeed logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title : Solution Architect – Application & AI Engineering

Experience : 12+ years (Minimum 8 years of hands-on experience)

Location : Mysuru, Karnataka

Employment Type : Full-time

About the Role

We are seeking an experienced and forward-thinking Solution Architect with a strong background in application engineering and AI/ML systems. The ideal candidate should have deep technical expertise and hands-on experience in architecting scalable and secure solutions across web, API, database and cloud ecosystems (AWS or Azure).

You will lead end-to-end architecture design efforts—transforming business requirements into robust, scalable, and secure digital products, while ensuring modern AI-driven capabilities are leveraged where applicable.

Key Responsibilities

  • Design and deliver scalable application architectures across microservices, APIs and backend databases.
  • Collaborate with cross-functional teams to define solution blueprints combining application engineering and AI/ML requirements.
  • Architect and lead implementation strategies for deploying applications on AWS or Azure using services such as ECS, AKS, Lambda, API Gateway, Azure App Services, Cosmos DB, etc.
  • Guide engineering teams in application modernization, including monolith to microservices transitions, containerization and serverless.
  • Define and enforce best practices around security, performance, and maintainability of solutions.
  • Integrate AI/ML solutions (e.g., inference endpoints, custom LLMs, or ML Ops pipelines) within broader enterprise applications.
  • Evaluate and recommend third-party tools, frameworks, or platforms for optimizing application performance and AI integration.
  • Support pre-sales activities and client engagements with architectural diagrams, PoCs, and strategy sessions.
  • Mentor engineering teams and participate in code/design reviews when necessary.

Required Skills & Experience

  • 12+ years of total experience in software/application engineering.
  • 8+ years of hands-on experience in designing and developing distributed applications.
  • Strong knowledge in backend technologies like Python, Node.js, or .NET; and API-first design (REST/GraphQL).
  • Strong understanding of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc.).
  • Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation, etc.).
  • Proven experience in architecting and deploying cloud-native applications on AWS and/or Azure.
  • Experience with integrating AI/ML models into production systems, including data pipelines, model inference, and MLOps.
  • Deep understanding of security, authentication (OAuth, JWT), and compliance in cloud-based applications.
  • Familiarity with LLMs, NLP, or generative AI is a strong advantage.

Preferred Qualifications

  • Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).
  • Exposure to AI/ML platforms like Azure AI Studio, Amazon Bedrock, SageMaker, or Hugging Face.
  • Understanding of multi-tenant architecture and SaaS platforms.
  • Experience working in Agile/DevOps teams and with tools like Jira, Confluence, GitHub/GitLab, etc.

Why Join Us?

  • Work on innovative and enterprise-scale AI-powered applications.
  • Influence product and architecture decisions with a long-term strategic lens.
  • Collaborate with forward-thinking and cross-disciplinary teams.
  • Opportunity to lead from the front and shape the engineering roadmap.

Job Type: Full-time

Pay: ₹2,000,000.00 - ₹3,000,000.00 per year

Benefits:

  • Flexible schedule
  • Paid sick time
  • Provident Fund
  • Work from home

Application Question(s):

  • Have you led end-to-end architecture design efforts while ensuring modern AI-driven capabilities are leveraged.
  • Do you have hands-on experience in architecting scalable and secure solutions across web, API, database, and cloud ecosystems (AWS or Azure).

Experience:

  • Software/Application Engineering: 10 years (Required)

Work Location: In person

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