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Lead Engineer - AI Solutions Engineer

Lead Engineer - AI Solutions Engineer

Tiger AnalyticsUS
1 day ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job 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.

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