Solution Architect

3 days ago

Thiruvananthapuram Kerala, India Techvantage Systems Full time

**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**:
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.
- 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

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