Share this job SVGs not supported by this browser. Description Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI. The DE + AI Solutions Engineer will design, build, and deploy advanced data, Generative AI (Gen AI), and Agentic AI solutions for key client projects. This role requires deep, mandatory hands-on expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade code, pipelines, and infrastructure. Requirements Client Engagement & Delivery: Collaborate directly with client stakeholders to gather requirements, present technical solutions, and manage expectations. Technical Leadership & Expertise: 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. Consulting & Prototyping: 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. Talent & Support: 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. Qualifications: 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). Key Skills: Microsoft Azure (Expert) Databricks (Expert) Data Engineering & Pipelines (Expert) (e.g., Spark, Delta Lake) Generative AI Architecture & Deployment (Expert) (RAG, Fine-tuning, MLOps) Agentic AI Architecture (Expert) (A2A / MCP) Solution Design & Implementation (Expert) Consulting & Advisory (Strong) Client Expectation Management Offshore Team Management / Mentoring Communication (Verbal & Written) Business Development Support 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. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law. Apply for this job