AI Agent Engineer

Hexaware Technologies

Virginia

Vor Ort

USD 140.000 - 190.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Hexaware Technologies in Virginia seeks a senior AI Agent Engineer to lead hands-on development of coding agents, productivity platforms, and secure cloud integrations. You will own implementation, administration, and operational readiness in enterprise environments.

The role requires independent troubleshooting, establishing technical standards, and technical leadership for teams adopting coding agents, with focus on security validation and production-grade reliability.

Qualifikationen

  • Senior/lead-level engineer with hands-on AI coding agents experience.
  • Experience with enterprise coding-agent implementations and security validation.
  • Ability to lead technical standards and mentor teams.
  • Proficient in cloud infrastructure and agent administration.

Aufgaben

  • Lead implementation and administration of coding-agent capabilities.
  • Perform functional and security validation for deployments.
  • Provide technical leadership to engineering teams.
  • Operate AI coding technologies in production environments.

Kenntnisse

OpenAI Codex
Coding agents
GitHub Copilot
Model Context Protocol
SSO
SAML
OAuth 2.0
OIDC
Identity Providers
SCIM provisioning
AWS IAM
Bedrock
IAM Roles
RBAC
ECS
ALB

Tools

AWS IAM Identity Center

Jobbeschreibung

We are looking for AI Agent Engineer in VA, U.S. State

We are seeking a senior/lead-level engineer with deep hands-on experience in AI coding agents, developer productivity platforms, agent administration, security, and cloud infrastructure.

This resource will help lead the implementation, administration, functional validation, security validation, and operational management of enterprise coding-agent capabilities. The individual should be capable of working independently, troubleshooting complex integrations, establishing technical standards, and providing technical leadership to engineering teams adopting coding agents.

The ideal candidate should have experience operating AI coding technologies in enterprise production environments, rather than solely developing proofs of concept.

Skills: OpenAI Codex, coding agents, GitHub Copilot, MCP – Model Context Protocol, SSO, SAML, OAuth 2.0, OpenID Connect (OIDC), Identity Providers (IdP), SCIM provisioning, AWS IAM, AWS IAM Identity Center, Microsoft Active Directory / Entra ID, Bearer tokens, JWT tokens, Service identities, Role-based access control (RBAC) and AWS (including hands-on experience with: Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Agent Core, IAM roles and policies, ECS, Application Load Balancer (ALB))

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