Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, deployment, and integration of AI solutions based on TrueAgent and TrueRAG into client environments, focusing on AWS cloud architecture.
Translate customer business requirements into scalable, secure, and maintainable AI architectures using AWS services and oversee post-deployment support for adoption.
Document architecture and reusable assets to facilitate future deployments while ensuring enterprise-grade security, compliance, and performance standards.
Minimum Requirements
Minimum 3 years full-time experience; 5+ years experience in cloud solution architecture preferred.
Proven experience designing and implementing AI/ML solutions on AWS including SageMaker, Lambda, API Gateway, ECS, S3, IAM, Step Functions, and CloudFormation or Terraform.
Proficiency in Python; familiarity with Rust and Go.
Experience with Retrieval-Augmented Generation (RAG), vector databases (e.g., Pinecone, FAISS), hierarchical object DB (e.g., Neo4G), and agentic frameworks such as LangGraph.
Ideal Candidate Profile
Experienced in client-facing roles, capable of understanding business goals and translating them into technical AI strategies and architectures.
Strong background deploying and customizing enterprise AI/ML solutions, especially on AWS using advanced services and CI/CD pipelines.
Comfortable working with complex AI frameworks, including LLMs, RAG, vector databases, and implementing security and compliance at enterprise scale.