AI Application Architect
Role details
Job location
Tech stack
Requirements
About the Role We are seeking a highly skilled Solutions Architect with 5+ years of architecture experience to design, develop, and deliver end to end AI/ML and cloud-native solutions across our enterprise ecosystem. This role requires both technical depth and architectural vision-someone who can translate business requirements into scalable, secure, and high performance architectures while remaining fully hands-on with modern engineering practices. You will collaborate closely with engineering, security, product, and leadership teams to ensure our solutions are robust, performant, and aligned with long-term technology strategy.
The ideal candidate brings deep expertise across AWS, Azure, and Google Cloud Platform , as well as strong software architecture fundamentals, DevOps discipline, and modern IT security practices. You will guide teams in building cloud-native services, AI/ML-enabled applications, and reliable production systems. Candidates with AWS/Azure/Google Cloud Platform Solutions Architect certifications and demonstrated experience designing real-world solutions will stand out. Key Technical Skills:
- AI/ML Solutions Architecture
- Designing end-to-end AI/ML architectures: data pipelines, model deployment, serving layers
- Integrating ML frameworks (TensorFlow, PyTorch) into scalable applications
- Experience with model deployment patterns (batch, streaming, real-time inference)
- Ability to translate ML requirements into architecture diagrams, infrastructure specs, and solution roadmaps
- Cloud Computing (Deep Expertise Across AWS, Azure, Google Cloud Platform)
- Architecting solutions using cloud-native services (compute, storage, networking, identity, analytics)
- Multi-cloud or hybrid-cloud architecture patterns
- Infrastructure automation (Terraform, CloudFormation, ARM/Bicep)
- Cloud security best practices (IAM, identity boundaries, encryption, secrets management)
- Software Architecture & Engineering Strong experience designing distributed systems, microservices, APIs (REST/gRPC)
- Designing event-driven systems, asynchronous messaging, and integration patterns
- Expertise in architectural patterns: domain-driven design, 12-factor apps, CQRS, serverless
- Hands-on engineering with Python, Node.js, or Go for prototyping and solution validation
- DevOps & Platform Engineering CI/CD pipeline design (GitHub Actions, GitLab CI, Azure DevOps, Jenkins)
- Containerization & orchestration: Docker, Kubernetes, Helm
- Observability tooling: logging, metrics, tracing (Prometheus, Grafana, ELK, OpenTelemetry)
- Automated testing frameworks for infrastructure and application layers
- Security & Compliance Deep knowledge of cloud security principles, zero-trust architectures, and network segmentation
- Designing secure architectures aligned with SOC2, ISO 27001, HIPAA, or industry frameworks
- Threat modeling, vulnerability management, and secure SDLC practices
- Secrets management and key management (KMS, Vault, cloud-native services)
Certifications (Preferred): AWS Solutions Architect (Associate or Professional), Azure Solutions Architect Expert, Google Professional Cloud Architect
