AI Architect

AI Architect

Location:

Arden Hills, MN

Duration: 6 months

GBaMS ReqID:

8–10 years of overall IT experience.

6+ years of experience in AI/ML.

2+ years of experience in Generative AI and LLM-based solutions.

Design, develop, and deploy AI/Generative AI solutions.

Support architects and delivery teams in implementing AI use cases across enterprise applications.

Design and implement Agentic AI solutions using AWS cloud-native services.

Build autonomous AI agents capable of:

• Planning
• Reasoning
• Memory management
• Tool execution

Integrate AI agents with enterprise systems through:

• REST APIs
• Databases
• Event-driven architectures
• Microservices

Develop RAG pipelines and knowledge assistants.

Implement prompt engineering and AI evaluation frameworks.

Fine-tune and optimize AI models for:

• Performance
• Latency
• Scalability
• Cost efficiency

Implement monitoring, logging, evaluation, guardrails, and observability for AI solutions.

Support AI testing, validation, and deployment.

Programming & APIs:

• Python
• REST APIs

AI/Agent Frameworks:

• Lang Chain
• Lang Graph
• CrewAI

AWS AI/ML Services:

• Amazon Bedrock
• Amazon Sage Maker

AWS Cloud Services:

• AWS Lambda
• AWS Step Functions
• Amazon Event Bridge
• Amazon Cloud Watch

AI & Data Technologies:

• Vector Databases
• Prompt Engineering
• Machine Learning fundamentals and techniques
• Data Preprocessing
• Agentic AI Implementation
• Knowledge Graph Integration

Generative AI:

• LLM-based solutions
• RAG
• AI Agents
• Model optimization
• AI evaluation and guardrails