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Skills: Enterprise Architecture, Generative AI, Agentic AI, Large Language Models, Cloud Architecture
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Full-time
Posted 10d ago
~40 hrs/week
Remote in Dallas, Texas, United States
Responsibilities
Lead the design and implementation of enterprise-scale AI platforms and intelligent applications. Define the AI technology strategy and roadmap while partnering with business and engineering leaders to accelerate adoption.
Requirements
Requires over 12 years of experience in enterprise or cloud architecture with hands-on expertise in Generative AI and LLMs. Proficiency in Python, cloud-native platforms (AWS, Azure, or GCP), and modern data ecosystems is essential.
Full 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.
Tiger Analytics looking for an experienced Enterprise AI Architect to lead the design and implementation of enterprise-scale AI platforms and intelligent applications. In this role, you will define the AI technology strategy, architect production-grade AI solutions, and partner with business and engineering leaders to accelerate AI adoption across the organization.
You will work on cutting-edge technologies including Generative AI, Agentic AI, Large Language Models (LLMs), cloud platforms, and modern data architectures while establishing scalable, secure, and responsible AI solutions.
Key Responsibilities
Define enterprise AI architecture, standards, and technology roadmap.
Design and deliver production-ready Generative AI and Agentic AI solutions.
Architect scalable AI platforms leveraging cloud-native technologies and modern data ecosystems.
Lead AI solution design, technical reviews, and architecture governance.
Partner with engineering, data, security, and business teams to deliver enterprise AI initiatives.
Evaluate emerging AI technologies and recommend architecture best practices.
Ensure AI solutions meet security, governance, compliance, and performance requirements.
Mentor engineering teams and drive AI adoption across the organization.
12+ years of experience in enterprise architecture, solution architecture, or cloud architecture.
Hands-on experience designing and implementing enterprise AI or Generative AI solutions.
Strong understanding of LLMs, Agentic AI concepts, and modern AI application architectures.
Experience building cloud-native solutions on AWS, Azure, or Google Cloud.
Strong software engineering background with Python and API-based architectures.
Experience with modern data platforms such as Snowflake, Databricks, or similar cloud data technologies.
Experience in one or more of the following is highly desirable:
Generative AI, Agentic AI, RAG, AI Agents
AI orchestration frameworks (such as LangChain or LangGraph)
Vector databases and knowledge retrieval
AI governance, security, and Responsible AI
Cloud AI services (AWS Bedrock, Azure OpenAI, Vertex AI)
MLOps, CI/CD, Kubernetes, or containerized deployments
Excellent stakeholder management and executive communication skills.
Experience leading cross-functional technical teams and enterprise-scale initiatives.
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.
Related keywords
Enterprise AI ArchitectGenerative AIAgentic AILLMsRAGAI AgentsLangChainLangGraphVector DatabasesAWS BedrockAzure OpenAIVertex AIMLOpsCI/CDKubernetesSnowflake
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Industry
Business Consulting and Services
Company size
5,001-10,000 employees
Founded
2011
Headquarters
Santa Clara, CA
LinkedIn followers
656,992
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Offices: 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US · 111 Town Square Pl, Jersey City, New Jersey 07310, US · 36 Robinson Rd, Singapore, Singapore 068877, SG · 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US · 5151 Headquarters Dr, Plano, Texas 75024, US
Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops
Based on 6427 listings with disclosed salaries, most technology jobs in Texas pay between $88k–$215k per year. Individual offers vary with seniority, company size, and specialization.
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