Location: Hyderabad / Remote
Experience: 9+ Years (Relevant)
Company- Algotale
We are looking for an experienced AI Solution Architect to design, build, and scale enterprise-grade AI solutions. The ideal candidate will have deep expertise in AI/ML engineering, cloud-native architectures, big data systems, and Kubernetes-based deployments, with hands-on experience integrating AI into real-world business workflows.
Key ResponsibilitiesDesign and architect scalable, secure, and high-performance AI solutions for enterprise applications.
Integrate AI/ML models into business workflows and existing enterprise systems.
Lead end-to-end solution architecture across cloud platforms, data pipelines, and AI services.
Architect and optimize Big Data & distributed computing systems for AI workloads.
Design containerized AI solutions using Kubernetes and cloud-native services.
Collaborate with data scientists, ML engineers, DevOps, and business stakeholders.
Ensure solutions meet performance, scalability, security, and compliance requirements.
Evaluate and recommend AI platforms, tools, and frameworks, including NVIDIA AI Enterprise.
Provide technical leadership, architecture guidance, and best practices.
9+ years of experience with Solution Architecture, preferably in AI-driven systems.
Strong experience integrating AI into enterprise workflows and applications.
Expertise in AI/ML Engineering (model deployment, MLOps, inference pipelines).
Proven experience in Architecting scalable cloud solutions (AWS/Azure/GCP).
Hands-on experience with Big Data & Distributed Computing frameworks.
Strong knowledge of Kubernetes and container orchestration.
Experience with PCAI (Preferred Cloud AI) and/or NVIDIA AI Enterprise.
Strong understanding of microservices, APIs, and event-driven architectures.
Experience with MLOps tools and CI/CD for AI pipelines.
Exposure to GPU-based workloads and AI acceleration.
Prior experience in enterprise-scale AI transformations.
Strong stakeholder management and communication skills.
