BASIC INFORMATION

Country:
United States
State:
NA
Date Published:
24-Mar-2025
Job ID:
44282
Travel:
up to 10%
Additional Locations:
Houston

DESCRIPTION AND REQUIREMENTS

CareerArc Code
CA-BS

LI-BS1

Remote: #LI-Remote

TO ENSURE YOU’RE SET UP FOR SUCCESS, YOU WILL BRING THE FOLLOWING SKILLSET & EXPERIENCE:

• 12+ years of software development experience
• 5+ years in technical leadership roles
• Deep expertise in cloud architecture, preferably AWS
• Strong background in:
• 
  
  
  
• Modern AI/ML technologies and frameworks

• Cloud-native application development
• Distributed systems and microservices
• Security architecture and best practices
  Technical Expertise Required:

Cloud & Infrastructure:

• Expert knowledge of AWS services, especially:

• • EKS and Kubernetes orchestration
• Container services and microservices
• RDS and database optimization
• IAM and security services
• Cloud cost optimization

AI/ML Technologies:

• Deep understanding of:

• • LLM architectures and implementations
• AWS Bedrock and similar AI services
• Langchain and LLM frameworks
• Vector databases and embeddings
• ML deployment patterns
  Development & Architecture:

Expertise in:

• Full-stack development (React, FastAPI)
• Python ecosystem for AI/ML
• RESTful API design
• Authentication systems (OKTA)
• Database design and optimization
• CI/CD and DevOps practices

NICE TO HAVE SKILLS

• Advanced degree in Computer Science or related field
• Cloud certifications (AWS Solutions Architect Professional, etc.)
• Experience with AI research and implementation
  

  LI-Remote

THIS ROLE CAN BE BASED REMOTELY IN UNITED STATES

Looking for more details about our benefits? You can also learn all about them by clicking HERE

STRATEGIC RESPONSIBILITIES:

• Lead the technical vision and architecture for AI-powered solutions
• Drive technology strategy and roadmap for Generative AI initiatives
• Establish technical standards and best practices for AI engineering
• Contribute to architectural decisions for complex AI implementations
• Guide the integration of emerging technologies into existing systems
• Lead solution design reviews and technical governance

TECHNICAL LEADERSHIP RESPONSIBILITIES:

• Provide architectural oversight for full-stack AI applications
• Guide the implementation of cloud-native architectures on AWS
• Establish standards for LLM integration using AWS Bedrock
• Oversee the development of AI pipelines using Langchain
• Direct the implementation of security and compliance measures
• Lead technical debt reduction initiatives
• Mentor and guide senior developers and engineers

PRACTICE DEVELOPMENT RESPONSIBILITIES:

• Establish and maintain technical standards and documentation
• Create architectural blueprints and reference implementations
• Contribute to technical strategy and innovation initiatives
• Lead technical discovery and proof-of-concept projects