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 Enterprise Solutions Architect will lead the architectural design and delivery of advanced data, Generative AI (Gen AI), and Agentic AI solutions for the assigned strategic account or cluster of growth accounts. This role requires deep, mandatory expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade technical solutions.
Requirements
Client Engagement & Delivery:
- Build and lead enterprise architecture strategies and team of architects for assigned strategic accounts
- Oversee technical solution design and enable technical delivery across the projects within the assigned strategic account.
- Ensure successful development and deployment of technical solutions and client satisfaction across the projects, applying efficiency gains where appropriate.
- Maintain high billability.
Technical Leadership & Expertise:
- Design and implement robust, scalable data architectures and data engineering on Azure and Databricks, serving as the foundational layer for all analytics and AI.
- Architect end-to-end Generative AI solutions (e.g., RAG, fine-tuning, custom LLMs) and demonstrate a history of production-deployed use cases.
- Lead solution design for complex Agentic AI use cases and AI applications, including architectures for multi-agent systems (A2A) and communication protocols (MCP).
- Provide technical guidance and mentorship to project teams.
- Maintain relevant industry technical certifications, with a focus on Azure and Databricks.
- Understand and implement industry best practices for data and AI/analytics engineering.
- Collaborate with technology / platform partners engaged in the account to drive value, collaborating with the TA partnership channel
Consulting & Advisory:
- Provide strategic technology consulting, translating business requirements into technical solutions.
- Develop and present compelling POVs to clients.
- Lead client mind share exercises - capability showcase, success area maps, and Tiger solution / accelerator showcases for various engagement stakeholders
- Support account leadership to develop executive mind share sessions
- Contribute to developing practice assets.
Business Development & Talent Management:
- Support account-specific sales, BD, and RFP activities.
- Participate in interviews and recruitment.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred).
- 16+ years of experience in solution architecture, data engineering, or related fields.
- Must have extensive, hands-on experience with Microsoft Azure and Databricks.
- Must have strong Data Engineering and Data Architecture experience.
- Must have a proven track record of designing and deploying Generative AI solutions into a production environment.
- Must have specific experience in Agentic AI solution design, including A2A (Agent-to-Agent) or MCP (Multi-agent Communication Protocol) architecture.
- Strong understanding of data and AI/analytics engineering methodologies.
- Excellent client management and communication skills.
- Experience working with and managing offshore teams.
- Mandatory certifications in Azure and Databricks.
- Strong consulting and advisory skills.
- Strong insurance (P&C / L&A / Health) domain understanding
- Willingness to travel ~ 30% (about 6 days a month)
Key Skills:
- AWS and / or Azure and / or GCP (Expert)
- Databricks and / or Snowflake (Expert)
- Solution Architecture & Design (Expert)
- Generative AI Architecture (Expert)
- Agentic AI Architecture (Expert) (A2A / MCP)
- Consulting & Advisory (Expert)
- Client Expectation Management
- Offshore Team Management
- Data Engineering Delivery
- Communication (Verbal & Written)
- Business Development Support
- Talent Management / Mentoring
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.
Top Skills
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
