AI Solutions Engineer

AI Solutions Engineer Qualifications: • Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field. • Experience: o 6+ years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions. o Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure. o Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.• Technical Skills: o Proficient in programming languages such as Python, Java, or C++. o Familiarity with data pipeline tools and frameworks o Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices. o Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.o Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc. • Soft Skills: o Strong analytical and problem-solving skills. o Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. o Leadership experience and the ability to work effectively in cross-functional teams. o Detail-oriented and focused on delivering high-quality, scalable solutions. o  Data & Integration:o  Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.o  Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.Preferred Qualifications: • Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision. • Knowledge of AI ethics and bias mitigation strategies. Personal Attributes: • Ability to innovate and think critically about solving complex business problems with AI. • Strong interpersonal and communication skills for collaboration with stakeholders at all levels. • Self-motivated, proactive, and comfortable working in a dynamic and fast-paced environment.