Senior Data & AI Solutions Architect

Advent Global Solutions
Auburn Hills, MI, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Application Integration Architecture User Authentication Cloud Computing Data Systems Identity and Access Management Python (Programming Language) Knowledge Management
+14 more
Salesforce.Com Systems Integration Enterprise Data Management Chatbots Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Generative AI Agentic-AI Event Driven Architecture AI Platforms Enterprise Integration Virtual Agents Human in the Loop

Job description

We are seeking a Senior Data & AI Solutions Architect to design and lead enterprise AI and data solutions. The ideal candidate combines AWS Cloud, Generative AI, Agentic AI, hands-on development, enterprise integration, and strong stakeholder management., * Design end-to-end architectures for AI-powered data solutions, intelligent agents, automation workflows, and multi-agent systems.

  • Translate business requirements into scalable AI, data, integration, security, and deployment architectures.
  • Design RAG solutions for secure access to structured and unstructured enterprise data.
  • Define APIs, event-driven architectures, canonical data models, integration strategies, and knowledge management frameworks.
  • Establish AI security, governance, privacy, responsible AI, and human-in-the-loop controls.
  • Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams.
  • Work directly with business, Telecom, Salesforce, and AWS stakeholders.
  • Lead architecture, implementation roadmaps, technical documentation, and solution reviews.

Requirements

  • 10+ years in Solution, Enterprise, Cloud, Data, or Integration Architecture.
  • Strong AWS or other hyperscaler experience; AWS preferred.
  • Strong experience with Generative AI, Agentic AI, LLMs, Conversational AI, and multi-agent architectures.
  • Hands-on experience developing AI/GenAI solutions.
  • Experience with AWS Bedrock, SageMaker, or similar AI services.
  • Strong RAG, enterprise data, APIs, event-driven architecture, and integration experience.
  • Experience integrating enterprise platforms such as Salesforce, CRM, ERP, or ITSM.
  • Hands-on development experience with Python, Java, APIs, SDKs, or similar technologies.
  • Knowledge of authentication, authorization, IAM, security, AI governance, and data privacy.
  • Strong business communication, stakeholder management, and leadership skills.
  • Experience working in Agile and/or waterfall environments with globally distributed teams., An experienced Solutions/Enterprise Architect with a development background who has recently designed or built Agentic AI / Generative AI solutions on AWS and can communicate effectively with both technical and business stakeholders.

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