Note: The job is a remote job and is open to candidates in USA. Indotronix Avani Group is seeking an AI Consultant to build the organization's core Agentic AI Framework and Infrastructure on AWS. This role involves designing and implementing AI architectures, collaborating with various teams, and ensuring the delivery of reliable and scalable solutions.
Responsibilities
- Architect and Build Agentic Systems: Design and implement agentic AI architectures capable of reasoning, planning, and self-adaptation within firm-approved security and compliance boundaries
- Leverage and Extend Frameworks: Utilize and enhance frameworks such as Strands, CrewAI, LangGraph, and Agent Core to create standardized, reusable components that accelerate agentic development across teams
- Cloud Engineering: Develop secure, resilient, and scalable cloud-native solutions using AWS services (Lambda, ECS, S3, API Gateway, SageMaker, Bedrock, etc.) to support production-grade AI operations
- Monitoring and Evaluation: Implement metrics, tracing, and evaluation pipelines that ensure transparency, reliability, and continuous improvement in agentic behavior
- Integration and Governance: Collaborate with security, risk, and compliance to embed governance, auditability, and ethical safeguards into all systems
- Collaboration: Partner with data science, enterprise architecture, and application engineering teams to integrate agentic capabilities into firm platforms
- Innovation Leadership: Research, test, and recommend new frameworks and patterns that responsibly advance the firm’s AI capabilities
- Ownership: Drive full lifecycle delivery—from technical design through deployment and iteration—maintaining high standards of reliability and documentation
- Other responsibilities as assigned
Skills
- At least one year of hands-on production experience building agentic systems
- Experience in architecting and building agentic AI architectures capable of reasoning, planning, and self-adaptation
- Ability to leverage and extend frameworks such as Strands, CrewAI, LangGraph, and Agent Core
- Experience in developing secure, resilient, and scalable cloud-native solutions using AWS services (Lambda, ECS, S3, API Gateway, SageMaker, Bedrock, etc.)
- Experience in implementing metrics, tracing, and evaluation pipelines for agentic behavior
- Ability to collaborate with security, risk, and compliance teams to embed governance and ethical safeguards
- Experience in partnering with data science, enterprise architecture, and application engineering teams
- Ability to research, test, and recommend new frameworks and patterns for AI capabilities
- Experience in driving full lifecycle delivery from technical design through deployment and iteration
Company Overview