AI/ML Architect

We are seeking a highly experiencedAI Solutions Architect with deep expertise in ArtificialIntelligence, Machine Learning, and Generative AI (GenAI).This role involves leading the design, development and deployment ofscalable AI/ML solutions and tools with a strong focus oninnovative architectures. The ideal candidate will collaborate acrossteams to deliver high -performance AI systems aligned with businessobjectives and future scalability. Responsibilities:  Design and implement full -stack scalable AI/ML systemsintegrating frontend (React/Angular), backend ), RESTful APIs,RAG and agentic frameworks (LangChain, AutoGen). Architect distributed, microservice -based AI pipelines usingevent -driven architectures and containerized deployments on Azure and AWS(secondary). Advanced ML/DL models including GPT, BERT, CNNs, RNNs, GANs for NLP,computer vision, and multimodal applications.Engineer prompt -based systems using retrieval -augmented generation (RAG),few -shot learning, and prompt tuning to optimize LLM performance.Lead data preprocessing workflows with Spark, Pandas, and MLFlow,including feature engineering and data augmentation.Model observability frameworks for drift detection, performance monitoring,and lifecycle management using tools like Prometheus and Grafana.Apply model optimization techniques such as quantization, pruning forreal -time, low -latency inference.Enforce AI/ML system security by integrating data protectionprotocols, implementing role -based access control (RBAC), encryption standards(TLS, AES), and ensuring compliance with regulatory frameworks such as GDPR,HIPAA, and ISO/IEC 27001 through automated policy enforcement and audit logging.Ensure AI security, governance through bias mitigation,explainability and secure deployment aligned with compliance standards.Conduct technical feasibility assessments, PoCs, and infrastructure costestimation with risk analysis.Lead AI architecture with cross -functional collaboration, Agileexecution, and continuous innovation while maintaining technical excellence andcomprehensive documentation.Exceptional ability to articulate complex AI and technicalconcepts with clarity, enabling effective communication across technical andnon -technical stakeholders. Requirements· Bachelor's or Master's degree in Computer Science, Data Science, or relatedfield with 10+ years in AI/ML architecture and enterprise -gradesolution delivery.· Over 5 years of specialized experience in architecting anddeploying AI/ML systems, with a demonstrated history of deliveringproduction -grade solutions across diverse use cases.· Hands -on experience with agentic frameworks (LangChain, AutoGen), promptengineering, and scalable LLM deployment.· Strong expertise in GenAI, Machine Learning, Data Science, transformermodels (GPT, BERT), deep learning (CNNs, RNNs, GANs), andmultimodal AI systems.· Proficient in Python and ML/DL frameworks like TensorFlow, PyTorch,Hugging Face, and MLFlow.· Skilled in designing distributed AI pipelines usingmicroservices, containerization (Docker, Kubernetes) and cloud platforms(Azure, AWS -secondary).· Deep understanding of data engineering, CI/CD automation, modelobservability, and performance optimization.· Specialized in AI security including adversarial robustness,federated learning, encryption standards, and regulatory compliance.· Proven leadership in Agile environments, technical mentoring, andtranslating business needs into scalable AI architectures.· Passionate about innovation with a track record of integratingemerging AI technologies into production -ready systems. Preferred Skills:· Proven experience in developing AI -powered solutions acrossindustries.· Strong understanding of MLOps practices, CI/CD pipelines, and AzureDevOps for scalable AI deployment.· Solution Architect Certifications is plus advantage like AZ -305:Azure Solutions Architect Expert, AWS CertifiedSolutions Architect.· Deep knowledge of secure and ethical AI design, including dataprivacy regulations and responsible AI principles.· Demonstrated success in leading GenAI/ML projects from concept toproduction with measurable impact.· Advanced problem -solving and analytical skills for translating complexchallenges into efficient AI solutions.· Excellent communication and collaboration abilities to bridge technical andnon -technical stakeholders.