Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Vanguard

AI Engineer

Vanguard

. Build and support conversational AI orchestration platforms and shared AI infrastructure .

Posted 10/12/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and supporting conversational AI orchestration platforms, with strong programming skills in Python and JavaScript/TypeScript. Proficient in cloud-native infrastructure, particularly AWS, and experienced in model governance and observability using tools like Arize.

Highest-signal resume keywords
Conversational AI OrchestrationPython ProgrammingAWS Cloud InfrastructureModel Governance and ObservabilityAgent Orchestration Architecture

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringAgent OrchestrationConversational AIA2A ProtocolsKnowledge ManagementSemantic Search SystemsCompliance PipelinesSegmentation API EnhancementsDevelopment and Production EnvironmentsPerformance Optimization
Soft Skills
Verbal CommunicationWritten CommunicationPresentation SkillsCross-Functional Collaboration
Tools & Technologies
ArizeGitHubCloud-Native InfrastructureDeployment PipelinesEvaluation Frameworks
Industry Keywords
Enterprise EnvironmentsInformation TechnologyInformation SecurityProof-of-ConceptPrototyping

Tech Stack

Tools & technologies
AWSCloudJavaScriptPythonTypeScript

About the role

Key responsibilities & impact
  • Build and support conversational AI orchestration platforms and shared AI infrastructure
  • Deliver production-ready GenAI solutions for Workplace Technology
  • Develop agent orchestration architecture and agent-to-agent integration patterns
  • Build conversation history, compliance, and retention pipelines, including WORM-based patterns
  • Implement model governance and observability using tools such as Arize and evaluation frameworks
  • Develop knowledge management and retrieval systems, including RBAC and ingestion pipelines
  • Provide system analysis, design, development, and implementation for orchestration platform capabilities
  • Integrate third-party products and model observability tooling
  • Translate technical specifications into code for complex projects, including compliance pipelines, segmentation API enhancements, and agent onboarding templates
  • Develop, test, document, and promote code through development, test, and production environments
  • Provide production support, submit change control requests, and maintain documentation
  • Apply architecture standards and resolve technical issues, including performance and latency optimization
  • Participate in design, code, and test inspections and explain technical considerations in meetings
  • Perform systems analysis across conversation compliance, model governance, and knowledge management workstreams
  • Interface with cross-functional team members and communicate systems issues appropriately
  • Ensure deliverables comply with Information Technology and Information Security policies and procedures
  • Contribute to proof-of-concept, prototyping, and exploratory AI platform work
  • Participate in special projects and perform other duties as assigned

Requirements

What you’ll need
  • Demonstrated software engineering experience in enterprise environments
  • Working knowledge of cloud-native infrastructure, specifically AWS, GitHub-based development workflows, and deployment pipelines
  • Strong programming skills in Python, JavaScript/TypeScript, or similar languages
  • Demonstrated ability to work across technical and non-technical stakeholder groups
  • Strong verbal, written, and presentation communication skills
  • Minimum of five years related work experience, with at least two years of development experience
  • Undergraduate degree or equivalent combination of training and experience
  • Experience building and delivering software or AI solutions involving agent orchestration, conversational AI, A2A protocols, RAG, knowledge management, or semantic search systems
  • Exposure to multiple model providers and evaluation or observability tooling such as Arize or comparable platforms
  • Experience contributing to proof-of-concept, prototyping, or exploratory AI platform work
  • Visa sponsorship is not offered for this position

Benefits

Comp & perks
  • Hybrid working model designed to provide flexibility and enable in-person learning, collaboration, and connection