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Associate Ai Agent Developer Jobs in Virginia (NOW HIRING)

Headway Tek Inc

Agentic AI & Observability

Mclean, VA · On-site

$54 - $74/hr

... in AI agent development, MCP (Model Context Protocol) server development, observability, data analytics, and cloud-native engineering . The candidate will design and build intelligent agents, MCP ...

Klaxontech

Senior AI Agent Engineer - Agentic

Reston, VA · On-site

$108K - $149K/yr

AI Engineer with expertise building agentic software development platforms using AWS, Strands Agents, Bedrock, Neptune, RDS, Step Functions, and Python. Experienced in code understanding ...

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All JobsAssociate Ai Agent Developer JobsAssociate Ai Agent Developer Jobs in Virginia

Associate Ai Agent Developer information

What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

What are the most commonly searched types of Ai Agent Developer jobs in Virginia?

The most popular types of Ai Agent Developer jobs in Virginia are:

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For Associate Ai Agent Developer jobs in Virginia, the most frequently searched job titles are:

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The top searched job categories for Associate Ai Agent Developer jobs in Virginia are:

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Cities in Virginia with the most Associate Ai Agent Developer job openings:

Associate Ai Agent Developer jobs near you
Infographic showing various Associate Ai Agent Developer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Agentic AI & Observability

Headway Tek Inc

Mclean, VA • On-site

$54 - $74/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Description Agentic AI & Observability

location:MC lean, VA or Plano,TX(3-4 days hybrid)

C2C or W2

Role Summary

We are looking for an experienced Agentic AI & Observability Lead or an Architect with strong hands-on expertise in AI agent development, MCP (Model Context Protocol) server development, observability, data analytics, and cloud-native engineering. The candidate will design and build intelligent agents, MCP-based integrations, telemetry and analytics solutions, and automated provisioning capabilities across modern distributed application environments.

The ideal candidate should have strong development experience in Python and/or JavaScript, combined with practical knowledge of OpenTelemetry, Kibana, distributed tracing, log analytics, Kubernetes, AWS, data streaming, CI/CD, and security & compliance.

Key Responsibilities

  • Design, develop, and deploy AI/Agentic AI applications and autonomous agents that interact with enterprise systems, APIs, data platforms, and operational tools.
  • Design and build MCP Servers to securely expose enterprise tools, APIs, data sources, and operational capabilities to AI agents.
  • Develop reusable MCP tools, resources, and integrations, including authentication, authorization, error handling, logging, and monitoring.
  • Build backend services, APIs, integrations, and automation using Python and/or JavaScript.
  • Implement application and platform observability using the OpenTelemetry framework, including logs, metrics, and traces.
  • Implement and troubleshoot distributed tracing across microservices and distributed application environments.
  • Build advanced log analytics, dashboards, visualizations, and operational insights using Kibana.
  • Analyze telemetry and operational data to identify anomalies, application failures, performance bottlenecks, and recurring operational patterns.
  • Design and integrate real-time and near-real-time data streams for telemetry, analytics, and AI-agent use cases.
  • Develop and deploy solutions in Kubernetes-based containerized environments.
  • Design and integrate solutions with AWS services and cloud-native architectures.
  • Build and maintain CI/CD pipelines for automated build, testing, security validation, and deployment.
  • Automate application, infrastructure, and service provisioning using Python or JavaScript.
  • Apply enterprise security, compliance, identity, access-control, secrets-management, and data-protection requirements across agent and observability solutions.
  • Work with application development, SRE, DevOps, platform, security, and architecture teams to onboard applications and implement observability and AI-driven operational capabilities.
  • Develop production-quality solutions with appropriate scalability, resiliency, performance, security, and monitoring.

Required Technical Skills

Agentic AI & Development

  • Strong experience developing AI agents / Agentic AI solutions.
  • Hands-on experience designing and building MCP Servers and integrating MCP clients, tools, resources, APIs, and enterprise data sources.
  • Strong programming experience in Python and/or JavaScript.
  • Experience developing REST APIs, backend services, integrations, and automation frameworks.

Observability & Analytics

  • Strong hands-on experience with OpenTelemetry (OTel).
  • Experience implementing and analyzing distributed traces, logs, and metrics.
  • Strong experience with Kibana dashboards and log analytics.
  • Ability to correlate telemetry across distributed systems for troubleshooting and root-cause analysis.
  • Experience working with high-volume telemetry and data streams.

Cloud & Platform Engineering

  • Strong experience with Kubernetes, containers, and microservices architectures.
  • Hands-on experience with AWS and cloud-native services.
  • Experience developing and maintaining CI/CD pipelines.
  • Experience with infrastructure/application provisioning and automation using Python or JavaScript.

Security & Compliance

  • Understanding of secure application and API development.
  • Experience implementing authentication, authorization, RBAC, secrets management, encryption, and secure communication.
  • Ability to develop solutions aligned with enterprise security, governance, audit, and compliance requirements.

Preferred Qualifications

  • Experience integrating AI agents with observability, incident management, DevOps, or enterprise operational platforms.
  • Experience building agent-based solutions for incident triage, root-cause analysis, log analysis, remediation, and operational automation.
  • Knowledge of SRE, AIOps, SLIs/SLOs, reliability engineering, and automated remediation.
  • Experience working with large-scale distributed and microservices-based enterprise applications.
  • Understanding of secure AI-agent architectures, including tool permissions, guardrails, identity propagation, auditability, and controlled access to enterprise systems.

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