Job Title

Job Title: Generative AI Architect – Professional ServicesJob Description:We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation, data-driven insights, and scalable architecture to enhance business processes and client outcomes.As a key member of our team, you will architect solutions that learn, reason, and make intelligent decisions, enabling AI to drive efficiency, innovation, and competitive advantage across multiple domains.Key ResponsibilitiesAI Systems Architecture & Business ImpactDesign and develop scalable AI architectures that integrate seamlessly with existing business systems.Ensure AI models support enterprise-grade workloads, focusing on efficiency, adaptability, and security.Algorithm & Model DevelopmentDevelop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services.Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence.Data Engineering & IntegrationArchitect robust data pipelines to support AI model training and inference.Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs.Collaborate with data engineering teams to align AI solutions with real-world business applications.AI Model Training, Evaluation & Performance OptimizationTrain AI models using supervised, unsupervised, and reinforcement learning techniques, refining them based on business insights.Define model performance metrics to ensure AI solutions deliver tangible value.Real-Time AI Applications & System IntegrationWork alongside software engineers and business consultants to integrate AI solutions into professional services applications.Ensure AI components interact seamlessly with enterprise platforms such as CRM, ERP, workflow automation tools, and analytics dashboards.Ethical AI & ComplianceEmbed AI fairness, transparency, and accountability principles into AI systems, ensuring ethical AI deployment.Stay updated on AI governance policies and compliance frameworks related to professional services and enterprise AI applications.Research, Innovation & AI StrategyStay at the forefront of AI advancements, frameworks, and cloud technologies.Lead AI-driven strategic initiatives, exploring innovative approaches for automation, personalization, and efficiency enhancement.Stakeholder Collaboration & CommunicationWork closely with executive teams, data scientists, business strategists, and IT professionals to align AI solutions with corporate objectives.Present complex AI concepts in a clear, accessible manner to both technical and non-technical stakeholders.Mandatory Qualifications & SkillsBachelor's or master's degree in Computer Science, AI, Data Science, or related fields.Expertise in large language models (LLMs) and prompt engineering for business applications.Strong programming skills (Python, R, Java) for AI model development and deployment.Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras).Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud).Deep understanding of enterprise AI architecture, data engineering, and model optimization.Strong problem-solving skills, with a business-driven approach to AI implementation.Effective communication and collaboration skills in cross-functional teams.Preferred SkillsHigh-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions.NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration.Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services.Pls share CV at payal.c@