Solution Architect

Our company:

    Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We design intelligent platforms that solve complex business problems and deliver measurable impact through cutting-edge AI technologies.

     

    Role Overview:

    We are seeking an experienced Solution Architect with a strong foundation in software architecture and a working knowledge of AI-based products or platforms. In this role, you will be responsible for designing robust, scalable, and secure architectures that support AI-driven applications and enterprise systems.

    You will work closely with cross-functional teams—including data scientists, product managers, and engineering leads—to bridge the gap between business needs, technical feasibility, and AI capability.


What we are looking from an ideal candidate?

    • Architect end-to-end solutions for enterprise and product-driven platforms, including components such as data pipelines, APIs, AI model integration, cloud infrastructure, and user interfaces.
    • Guide teams in selecting the right technologies, tools, and design patterns to build scalable systems.
    • Collaborate with AI/ML teams to understand model requirements and ensure smooth deployment and integration into production.
    • Define system architecture diagrams, data flow, service orchestration, and infrastructure provisioning using modern tools.
    • Work closely with stakeholders to translate business needs into technical solutions, with a focus on scalability, performance, and security.
    • Provide leadership on best practices for software development, DevOps, and cloud-native architecture.
    • Conduct architecture reviews and ensure alignment with security, compliance, and performance standards.

Preferred Skills:

What skills do you need?

    Requirements:

    • 10+ years of experience in software architecture or solution design roles.
    • Proven experience designing systems using microservices, RESTful APIs, event-driven architecture, and cloud-native technologies.
    • Hands-on experience with at least one major cloud provider: AWS, GCP, or Azure.
    • Familiarity with AI/ML platforms or components, such as integrating AI models, MLOps pipelines, or inference services.
    • Understanding of data architectures, including data lakes, streaming, and ETL pipelines.
    • Strong experience with containerization (Docker, Kubernetes) and DevOps principles.
    • Ability to lead technical discussions, make design trade-offs, and communicate with both technical and non-technical stakeholders.

    Preferred Qualifications:

    • Exposure to AI model lifecycle management, prompt engineering, or real-time inference workflows.
    • Experience with infrastructure-as-code (Terraform, Pulumi).
    • Knowledge of GraphQL, gRPC, or serverless architectures.
    • Previous experience working in AI-driven product companies or digital transformation programs.

    What We Offer:

    • High-impact role in designing intelligent systems that shape the future of AI adoption
    • Work with forward-thinking engineers, researchers, and innovators
    • Strong focus on career growth, learning, and technical leadership
    • Compensation is not a constraint for the right candidate