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.