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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