We are looking for a seasoned AI Solutions Architect with 10+ years of experience who can lead the design, development, and deployment of modern AI systems — from GenAI to distributed ML pipelines.
This role requires a strong mix of architecture, hands-on engineering, leadership, and innovation.
What You Will Work On
You will lead and architect :
- Full-stack AI / ML systems using React / Angular, Python / Node.js, APIs, RAG, and agentic frameworks (LangChain, AutoGen)
- Distributed, event-driven, microservice-based AI pipelines on Azure (primary) & AWS
- Advanced ML / DL models — GPT, BERT, CNNs, RNNs, GANs, multimodal AI
- RAG systems, prompt engineering, few-shot learning, LLM optimization
- Data workflows using Spark, Pandas, MLFlow; feature engineering & augmentation
- Model observability, drift detection, monitoring (Prometheus, Grafana)
- High-performance inference with quantization / pruning
- AI security, compliance (GDPR, HIPAA, ISO 27001), RBAC, encryption
- Architecture leadership, PoCs, feasibility assessments & cost evaluations
- Clear communication of complex AI concepts across teams
What You Bring
Bachelor’s / Master’s in CS / DS or related field10+ years in as ML a architect & enterprise-grade solution delivery5+ years designing & deploying advanced AI / ML systemsExpertise in GenAI, ML, transformer models, deep learning, multimodal AIStrong Python + TensorFlow / PyTorch / HuggingFace / MLFlow skillsExperience with microservices, Docker, Kubernetes, Azure / AWSUnderstanding of CI / CD, model observability & performance tuningExpertise in AI security, responsible AI, federated learningProven leadership, mentoring, and cross-functional collaboration⭐ Preferred Skills
MLOps with Azure DevOpsArchitect certifications (AZ-305, AWS SA)Strong problem-solving, analytical thinking & communication skillsTrack record of delivering GenAI / ML solutions from concept to production