AI/ML Architect

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 field

- 10+ years in as ML a architect & enterprise-grade solution delivery

- 5+ years designing & deploying advanced AI/ML systems

- Expertise in GenAI, ML, transformer models, deep learning, multimodal AI

- Strong Python + TensorFlow/PyTorch/HuggingFace/MLFlow skills

- Experience with microservices, Docker, Kubernetes, Azure/AWS

- Understanding of CI/CD, model observability & performance tuning

- Expertise in AI security, responsible AI, federated learning

- Proven leadership, mentoring, and cross-functional collaboration

⭐ Preferred Skills

- MLOps with Azure DevOps

- Architect certifications (AZ-305, AWS SA)

- Strong problem-solving, analytical thinking & communication skills

- Track record of delivering GenAI/ML solutions from concept to production