Job Title : Technical Solutions Architect - AI & Cloud
Location : Hyderabad, India
Experience : 10+ YOE & 3+ YOE as Architect
Employment Type : Full-time
About Interas Labs :
Interas Labs is a technology-driven organization focused on delivering cutting-edge solutions across cloud, AI, and enterprise-scale platforms. We partner with global clients to architect and implement scalable, secure, and innovative systems that enable digital transformation.
Role Overview :
We are seeking a highly experienced Technical Solutions Architect who will play a key role in shaping our client engagements by designing and implementing next-generation technology solutions. This role requires a strong foundation in cloud platforms, enterprise architecture, and modern engineering practices, combined with the ability to drive AI / ML and data engineering initiatives.
Key Responsibilities :
- Define and create technical roadmaps aligned with business objectives.
- Architect cloud-native, microservices-based solutions with a focus on scalability, resilience, and performance.
- Design and implement DevSecOps architectures to ensure secure and automated delivery pipelines.
- Lead the design and adoption of MLOps frameworks for AI / ML deployment and lifecycle management.
- Architect LLM / AI-based solutions, integrating emerging AI technologies into enterprise systems.
- Guide data engineering architectures, including data pipelines, lakes, and real-time processing.
- Partner with business stakeholders, product owners, and engineering teams to align solutions with client requirements.
- Provide leadership in technology selection, PoCs, and best practice adoption.
- Mentor technical teams and ensure adherence to architectural standards.
Required Skills & Qualifications :
Bachelor's / Master's degree in Computer Science, Engineering, or related field.10+ years of experience in software engineering, with 3+ years in a solutions / technical architect role.Proven expertise in cloud platforms (AWS, Azure, or GCP).Strong understanding of microservices, APIs, event-driven architectures, and security best practices.Hands-on experience with DevOps / DevSecOps tools (Docker, Kubernetes, Jenkins, CI / CD).Knowledge of MLOps, AI / LLM integration, and Data Engineering frameworks.Strong proficiency with databases (relational and NoSQL).Excellent communication, presentation, and stakeholder management skills.Nice to Have :
Exposure to Big Data technologies (Kafka, Spark, Hadoop).Experience with front-end frameworks (React, Angular) for full-stack solutions.Familiarity with global delivery models and agile methodologies.(ref : iimjobs.com)