Lead Engineer – AI Solutions

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November 7

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Tiger Analytics

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Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Collaborate directly with client stakeholders to gather requirements, present technical solutions, and manage expectations. • Take a lead role in building, optimizing, and deploying robust, scalable Data Architectures and Data Engineering pipelines on Azure and Databricks. • Develop, deploy, and productionize end-to-end Generative AI solutions (e.g., RAG, fine-tuning) and demonstrate a clear history of production-deployed use cases. • Implement and design solutions for complex Agentic AI use cases, including hands-on experience with architectures for multi-agent systems (A2A) and communication protocols (MCP). • Provide technical guidance and mentorship to junior and mid-level engineers. • Maintain relevant industry technical certifications, with a mandatory focus on Azure and Databricks. • Implement industry best practices for data, Gen AI, and Agentic AI engineering. • Partner with clients and internal teams to translate business requirements into detailed technical specifications and implementation plans. • Develop and present technical demonstrations, proof-of-concepts (POCs), and working prototypes to clients. • Contribute to developing reusable code, frameworks, and practice assets. • Provide technical expertise to support pre-sales, BD, and RFP activities as a subject matter expert. • Participate in the technical interview process and help mentor new hires.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). • 10-13+ years of hands-on experience in data engineering, solution engineering, or AI development. • Must have extensive, hands-on implementation experience with Microsoft Azure and Databricks. • Must have strong Data Engineering (pipeline development, ETL/ELT) and Data Architecture experience. • Must have a proven track record of designing, building, and deploying Generative AI solutions into a production environment. • Must have specific, hands-on experience in Agentic AI solution design and implementation, including A2A (Agent-to-Agent) or MCP (Multi-agent Communication Protocol) architecture. • Strong understanding of CI/CD, MLOps, and DataOps methodologies. • Excellent client-facing and communication skills. • Experience mentoring junior engineers and working with offshore teams. • Mandatory certifications in Azure and Databricks. • Strong problem-solving and advisory skills. • Strong insurance (P&C / L&A / Health) domain understanding. • Willingness to travel ~ 30% (about 6 days a month).

🏖️ Benefits

• Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.