<p><strong>Description</strong></p><p><strong><em>Hybrid - 2 times a week in office</em></strong></p><p><br></p><p><strong>About the Role</strong></p><p><br></p><p>We are looking for an innovative and experienced <strong>AI Engineer with strong Snowflake expertise</strong> to design, build, and productionize enterprise-grade AI and machine learning solutions. In this role, you will work at the intersection of <strong>data engineering, AI/ML, Generative AI, and cloud platforms</strong>, enabling business teams to leverage trusted enterprise data to drive intelligent decision-making and automation.</p><p><br></p><p>You will play a key role in developing scalable AI solutions using <strong>Snowflake, Snowflake Cortex AI, SQL, Python, machine learning, and Generative AI technologies</strong>, while partnering with data and AI engineers, data scientists, architects, governance and cybersecurity teams, and business stakeholders.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop scalable AI and ML solutions using <strong>Snowflake and Snowflake Cortex</strong>.</li><li>Build and productionize Generative AI applications, including <strong>RAG (Retrieval-Augmented Generation), enterprise AI assistants, intelligent agents, and natural language interfaces</strong>.</li><li>Leverage <strong>Snowflake Cortex AI capabilities</strong>, including LLMs, embeddings, vector search, semantic search, and AI functions.</li><li>Develop data pipelines and AI workflows that integrate structured and unstructured enterprise data.</li><li>Implement <strong>RAG architectures</strong>, including document ingestion, chunking, embedding generation, vector search, retrieval, re-ranking, and prompt engineering.</li><li>Build and optimize machine learning models and AI solutions using <strong>Python, SQL, and cloud-based AI/ML services</strong>.</li><li>Develop secure and scalable AI solutions aligned with enterprise architecture, data governance, privacy, and responsible AI standards.</li><li>Collaborate with data engineers to ensure high-quality, governed, and AI-ready data.</li><li>Partner with business stakeholders to translate complex business problems into practical AI solutions with measurable business value.</li><li>Evaluate emerging AI technologies, models, and frameworks and recommend appropriate solutions for enterprise adoption.</li><li>Monitor and optimize AI applications for performance, scalability, reliability, cost, and model quality.</li><li>Implement evaluation frameworks and monitoring for Generative AI applications, including accuracy, relevance, hallucination, latency, and responsible AI metrics.</li><li>Contribute to reusable AI frameworks, patterns, APIs, and engineering standards to accelerate enterprise AI adoption.</li><li>Support the transition of AI prototypes and proof-of-concepts into secure, production-ready enterprise solutions.</li></ul><p><strong>Required Qualifications</strong></p><p><br></p><ul><li>Bachelor’s or master’s degree in computer science, Engineering, Data Science, Artificial Intelligence, or a related technical field.</li><li>7+ years of experience in software engineering, data engineering, machine learning engineering, or AI engineering.</li><li>Strong hands-on experience with <strong>Snowflake</strong>, including Snowflake architecture, SQL, data modeling, and performance optimization.</li><li>Experience building AI/ML or Generative AI solutions using enterprise data platforms.</li><li>Strong programming skills in <strong>Python and SQL</strong>.</li><li>Experience with <strong>LLMs, prompt engineering, embeddings, vector databases/search, RAG, and Generative AI application development</strong>.</li><li>Experience working with cloud platforms such as <strong>Microsoft Azure</strong>.</li><li>Experience developing production-grade data and AI pipelines.</li><li>Understanding of data governance, security, privacy, access controls, and responsible AI practices.</li><li>Strong problem-solving, communication, and collaboration skills.</li></ul><p><br></p><p><strong>Preferred Qualifications</strong></p><p><br></p><ul><li>Must have experience with <strong>Snowflake Cortex, Cortex AI, Cortex Search, Cortex Analyst, or Snowpark</strong>.</li><li>Must have experience with <strong>Snowflake Intelligence</strong> and AI agent architectures.</li><li>Must have experience building AI agents using platforms such as <strong>Microsoft Copilot Studio, Azure AI Foundry</strong>.</li><li>Must have experience with <strong>Azure Data Factory, Microsoft Fabric</strong>.</li><li>Experience with ML frameworks such as <strong>scikit-learn, PyTorch, TensorFlow, or Hugging Face</strong>.</li><li>Experience with MLOps, LLMOps, model evaluation, observability, and AI application monitoring.</li><li>Knowledge of enterprise APIs, microservices, REST APIs, and event-driven architectures.</li><li>Experience working in highly regulated industries such as <strong>financial services, utilities, healthcare, or government</strong>.</li><li>Experience with CI/CD, build enterprise end-to-end AI solution.</li><li>Snowflake certifications are an asset.</li></ul><p><strong>What You Will Bring</strong></p><p><br></p><ul><li>A strong engineering mindset with the ability to move AI solutions from <strong>concept to production</strong>.</li><li>A passion for solving complex business problems through data and AI.</li><li>The ability to balance innovation with <strong>security, governance, scalability, and responsible AI</strong>.</li><li>Strong stakeholder management and communication skills.</li><li>A continuous-learning mindset and curiosity about rapidly evolving AI technologies.</li></ul><p><strong>Why Join Us?</strong></p><p><br></p><p>This is an opportunity to help shape the next generation of <strong>enterprise AI capabilities</strong>, leveraging Snowflake and modern cloud technologies to create secure, scalable, and high-impact solutions. You will have the opportunity to work on strategic AI initiatives, collaborate with cross-functional teams, and directly influence how AI is adopted across the organization.</p>