Description:
We are seeking a highly skilled and certified AI Technical Solution Architect with deep expertise in cloud infrastructure (AWS, Azure, GCP) and a strong understanding of information security frameworks. This role is critical in designing and delivering high-availability (HA), scalable, and secure AI systems for our enterprise customers. The ideal candidate will have hands-on experience with modern AI technologies and a deep awareness of industry compliance standards such as SOC 2, ISO 27001, and others.
Key Responsibilities:
- Design end-to-end AI solution architectures, ensuring scalability, availability, and maintainability.
- Collaborate with cross-functional teams (Data Science, MLOps, DevOps, Security) to implement production-grade AI systems on public cloud platforms (AWS, Azure, GCP).
- Translate business requirements into secure, robust, and cost-efficient AI architectures.
- Ensure that solutions comply with enterprise-level security standards including SOC 2, ISO 27001, NIST, etc.
- Lead technical engagements with customers, providing architectural guidance and technical mentorship.
- Contribute to solution blueprints, architecture documentation, and deployment playbooks.
- Implement cloud-native best practices (IaC, CI/CD, auto-scaling, disaster recovery) for AI workloads.
- Guide customers through cloud security and compliance requirements, supporting audits and certifications.
- Continuously evaluate and integrate emerging AI technologies and platforms to maintain technical excellence.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 5+ years of experience in solution architecture, with a strong background in AI/ML projects.
- Proficient in AWS, Azure, and GCP cloud platforms, including certifications such as:
- AWS Certified Solutions Architect (Associate or Professional)
- Microsoft Certified: Azure Solutions Architect Expert
- Google Professional Cloud Architect
- Deep understanding of cloud-native services, containerization (Docker, Kubernetes), and serverless architectures.
- Strong grasp of information security principles and experience with regulatory compliance (SOC 2, ISO 27001, HIPAA, etc.).
- Demonstrated experience in designing high-availability and fault-tolerant architectures.
- Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, SageMaker, Vertex AI, Azure ML).
- Excellent communication and client-facing skills.