Technology Architect

Job Description – Technology Architect (AI, Full Stack & Cloud) Position : Technology Architect Experience : 8+ years (Full Stack Development & Architecture) Location : (Onsite- Chennai & bangalore) About the Role We are looking for ahands-on Technology Architectwith strong expertise inAI / ML,, Cloud platforms, and Full Stack development. The ideal candidate should be able todesign, build, and deploy scalable applications end-to-end, mentor teams, and drive technology strategy for products from concept to production. Key Responsibilities Architecture & Design Define and implement scalable, secure, and high-performing system architectures. Lead end-to-end product development from design to deployment. Create best practices, coding standards, and architectural frameworks. Full Stack Development Build backend services using and modern frameworks. Develop responsive front-end applications (React / Angular / Vue). Integrate APIs, third-party services, and AI / ML models into applications. AI / ML Expertise Apply AI / ML techniques (NLP, LLMs, predictive models, etc.) to real-world business problems. Deploy AI solutions into production-ready environments. Cloud, CDN & DevOps Architect and manage deployments on AWS / Azure / GCP. Hands-on expertise in Cloudflare, Akamai, and AWS CloudFront / CDN solutions for content delivery at scale. Ensure CI / CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code practices. Optimize systems for performance, security, and cost efficiency. Leadership & Collaboration Collaborate with product managers, designers, and developers to deliver innovative solutions. Mentor engineering teams and ensure high-quality delivery. Evaluate new technologies and provide thought leadership on adoption. Required Skills & Qualifications Proven experience in end-to-end app development and deployment (concept → production). Strong expertise in, JavaScript / TypeScript, and front-end frameworks (React / Angular / Vue). Experience with AI / ML frameworks (TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LangChain, etc.). Hands-on experience with cloud platforms (AWS, Azure, GCP) and microservices architecture. Working knowledge of CDNs (Cloudflare, Akamai, AWS CloudFront) and web performance optimization. Strong knowledge of databases (SQL, NoSQL, Graph DBs). Experience with DevOps tools (Docker, Kubernetes, Terraform, Jenkins, GitHub Actions). Solid understanding of system design, scalability, and security best practices. Excellent problem-solving, analytical thinking, and communication skills. Preferred Prior experience building AI-driven SaaS products. Exposure to MLOps and data engineering pipelines. Ability to work in startup / fast-paced environments.