AI Solutions Engineer

About the RoleWe are seeking a highly motivated and experienced AI Solutions Engineer to design, develop, and deploy AI-driven solutions that address complex business challenges across multiple industries. The successful candidate will play a pivotal role in translating business requirements into scalable, intelligent, and production-ready AI solutions, ensuring alignment between technical implementation and strategic business objectives.The role requires hands-on expertise in Artificial Intelligence (AI), Machine Learning (ML), and end-to-end solution development, with practical domain knowledge across Banking, Financial Services and Insurance (BFSI), Retail, Industrial, and Manufacturing sectors.The ideal candidate will have the ability to identify high-impact AI use cases and deliver innovative solutions for challenges such as fraud detection, demand forecasting, predictive maintenance, intelligent automation, and process optimization.Key ResponsibilitiesEngage with business stakeholders across BFSI, Retail, Industrial, and Manufacturing sectors to understand business processes, operational challenges, and opportunities for AI adoption.Translate business requirements into technical solution designs, AI/ML architectures, implementation strategies, and proposals.Design, develop, and deploy end-to-end AI solutions, encompassing data collection, preprocessing, model development, testing, deployment, and ongoing monitoring.Build proof of concepts (POCs), prototypes, and production-ready applications tailored to industry-specific requirements, including:BFSI: Credit scoring, fraud detection, customer segmentation, and risk modelling.Retail: Personalisation, demand forecasting, inventory optimisation, and customer analytics.Industrial and Manufacturing: Predictive maintenance, automated quality inspection, and process optimisation.Collaborate with data engineers, software developers, and cross-functional teams to integrate AI capabilities into enterprise platforms and business applications.Evaluate model performance, troubleshoot issues, and continuously enhance the accuracy, scalability, reliability, and efficiency of deployed solutions.Ensure AI solutions align with business objectives, technical standards, data requirements, and operational expectations.Keep abreast of emerging AI/ML technologies, industry developments, and best practices to identify opportunities for innovation and continuous improvement.Required Qualifications and ExperienceBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related discipline.Minimum of 3 years of relevant experience in AI/ML solution development, including hands-on experience delivering production-grade implementations.Practical experience in at least two of the following industry domains: BFSI, Retail, Industrial, or Manufacturing.Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.Experience working with structured and unstructured data, including time-series, text, and image datasets.Proficiency in designing scalable AI architectures, data pipelines, and deployment solutions across cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform, as well as on-premises environments.Strong analytical and problem-solving skills, with the ability to translate complex business challenges into effective technical solutions.Excellent communication and stakeholder-management skills, with the ability to explain technical concepts to both technical and non-technical audiences.Preferred QualificationsExperience developing domain-specific AI applications, such as OCR-based invoice processing, customer churn prediction, or industrial robotics.Familiarity with containerisation and orchestration technologies, including Docker and Kubernetes.Knowledge of MLOps practices covering model deployment, versioning, monitoring, and lifecycle management.Exposure to big data technologies such as Apache Spark, Hive, or Kafka.Experience working in Agile/Scrum environments and collaborating with multidisciplinary teams.Demonstrated ability to manage AI initiatives from initial concept through development, deployment, and continuous improvement.What We OfferA competitive compensation and benefits package.Opportunities to work on innovative AI initiatives across diverse industry verticals.A collaborative and innovation-driven work environment.Opportunities for professional development, continuous learning, and exposure to emerging technologies.The opportunity to contribute to impactful AI solutions that drive business transformation and operational excellence.