Kanini - AI Architect

Job location: [{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai","addressCountry":"IN"}}] Work arrangement: Employment type: FULL_TIME Salary: "" Experience requirements: {"monthsOfExperience":84,"educational":{"credentialCategory":"bachelor degree"}} Education requirements: "" About the job: Job Description: The AI Architect will be responsible for defining the AI strategy, designing scalable AI/ML architectures, and leading end-to-end implementation of AI solutions across the organization. This role involves deep technical expertise, strategic leadership, and collaboration with cross-functional teams to drive the adoption of AI responsibly and effectively. Key Responsibilities: AI Strategy & Leadership: - Develop and maintain the enterprise AI roadmap aligned with business objectives. - Evaluate new AI technologies, frameworks, and vendors to support innovation. - Define governance frameworks for responsible AI, privacy, security, and ethics. - Lead AI/ML initiatives across multiple business units. Architecture & Technical Design: - Design scalable, secure, cloud-native AI/ML architectures (Azure AI, AWS, GCP). - Define MLOps frameworks for continuous training, deployment, monitoring, and lifecycle management. - Architect data pipelines, vector databases, LLM orchestration, and retrieval-augmented generation (RAG) systems. - Select appropriate models (LLMs, CV, NLP, Generative AI, predictive analytics) based on business needs. Solution Development: - Provide technical leadership for building and deploying AI applications. - Work with data scientists, ML engineers, and software teams to deliver production-grade models. - Optimize AI workloads for cost, performance, and scalability. - Oversee integration of AI into products, platforms, and enterprise systems. Stakeholder Collaboration: - Translate business challenges into AI use cases with measurable outcomes. - Work with product owners, data teams, and business leaders to prioritize initiatives. - Present AI strategy and technical recommendations to executives and leadership teams. Risk, Compliance & Responsible AI: - Ensure compliance with data protection laws (GDPR, HIPAA, DPDP, etc.). - Create explainability and transparency frameworks for AI decisions. - Implement controls to prevent bias, model drift, and data misuse. Requirements: Required Skills & Experience: Technical Skills: - 7 - 12 years of overall experience, with 4+ years in AI/ML architecture or leadership roles. - Strong understanding of: 1. Machine learning, deep learning, NLP, LLMs, RAG, transformers. 2. Cloud platforms: Azure AI, AWS Sagemaker, or Google Vertex AI. 3. MLOps tools: MLflow, Databricks, Kubeflow, Airflow, Docker, Kubernetes. 4. Data engineering: Spark, Databricks, Data Factory, pipelines, ETL/ELT. 5. Programming: Python, SQL; familiarity with TensorFlow/PyTorch. - Experience designing enterprise-grade AI systems and microservices architectures. Soft Skills: - Strong communication and stakeholder-management skills. - Ability to balance technical depth with strategic thinking. - Leadership experience with cross-functional teams. Preferred Qualifications: - Master's or bachelor's degree in Computer Science, AI, Data Science, or related fields. - Certifications in cloud (Azure AI Engineer, AWS ML Specialty, etc.). - Experience implementing generative AI and LLM solutions in production. - Background in industry-specific domains (finance, telecom, retail, healthcare, etc.).