AI Architect

About Position: We are seeking a highly skilled and innovative Agentic AI Developer to architect and implement intelligent, autonomous AI workflows and backend systems. This role is ideal for someone passionate about multi-agent orchestration, Generative AI, and Microsoft Copilot Platform (MCP) integration. Role: AI Architect Location: Any Persistent Locations Experience: 8 to 12 years Job Type: Full Time Employment What You'll Do: You will define and lead AI strategy, architect scalable solutions, and guide engineering teams to deliver impactful AI-driven outcomes across domains. Architect end-to-end AI/ML pipelines including data ingestion, feature engineering, model development, deployment, and monitoring Lead AI/ML solution design across NLP, Computer Vision, Predictive Analytics, and Generative AI Integrate cloud-native AI platforms like Google Vertex AI, AWS SageMaker, and Azure AI Collaborate with data architects and engineers to ensure robust data pipelines and governance Evaluate and integrate generative AI frameworks including LLMs, RAG, vector databases, and embedding models Establish best practices for MLOps including CI/CD, model versioning, and automated retraining Conduct PoCs and technology evaluations to recommend optimal AI tools and frameworks Ensure compliance with security, ethical AI, and governance standards Translate business use cases into architectural blueprints and roadmaps Mentor AI engineers, data scientists, and solution teams Expertise You'll Bring: Y ou’ll bring a strong foundation in AI/ML architecture, hands-on experience with modern frameworks, and leadership capabilities to drive enterprise AI transformation. 8–12 years of IT experience, with 5+ years in AI/ML architecture Expertise in ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn, Keras Hands-on experience with Generative AI, LLMs, RAG, and vector databases (Pinecone, FAISS, Weaviate, Milvus) Proficiency in Python; exposure to Java/Scala for scalable AI integration Experience with cloud AI/ML services and containerization (Docker, Kubernetes) Strong knowledge of data engineering tools: BigQuery, Dataflow, Dataproc, Spark, Kafka Expertise in MLOps tools: MLflow, Kubeflow, Airflow, CI/CD pipelines Understanding of data security, identity management, and responsible AI practices Strong stakeholder management and solution consulting experience Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let’s unleash your full potential at Persistent - persistent.com/careers “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”