Position Details

Salary $66 – $77 USD / year

Type Contract

Experience senior

Exp. Years Not specified

Education Not specified

Category AI & Machine Learning

About this role

Contract role for an Artificial Intelligence (AI) Engineer to design and implement AI-driven solutions that improve business operations and decision-making. You will build scalable systems that integrate Generative AI, intelligent automation, and agent-based architectures, from experimentation through production deployment.

Key Responsibilities

Design and develop AI-powered systems incorporating generative AI, intelligent automation, and agent-based architectures
Build automation ecosystems using machine learning models, large language models, and modern automation platforms
Research and integrate emerging AI technologies including orchestration frameworks, autonomous agents, and AI security measures
Establish reusable patterns, APIs, and standards for scalable AI integrations across the enterprise
Oversee projects from initial experimentation to production deployment ensuring performance, reliability, and business impact goals

Technical Overview

The role focuses on AI-powered system design using Generative AI, large language models, and machine learning models, plus automation ecosystems and modern automation platforms. It also emphasizes orchestration frameworks/autonomous agents and AI security measures, along with production deployment, governance, and ethical AI practices.

Ideal Candidate

The ideal candidate is a senior AI Engineer with strong experience designing and deploying AI-powered systems that use Generative AI, large language models, and machine learning models for automation. They have built or integrated agent-based architectures and are familiar with AI governance, security, ethical AI principles, and production deployment practices.

Must-Have Skills

Design and develop AI-powered systemsGenerative AIIntelligent automationAgent-based architecturesLarge language modelsProduction deploymentAI governanceSecurityEthical AI principlesComplianceResponsible use

Nice-to-Have Skills

Orchestration frameworksAutonomous agentsAI security measuresReusable patternsAPIs and standards for scalable AI integrations

Tools & Platforms

APIsAutomation platforms

Required Skills

Design and develop AI-powered systemsGenerative AIIntelligent automationAgent-based architecturesMachine learning modelsLarge language modelsAutomation platformsOrchestration frameworksAutonomous agentsAI security measuresAPIsProduction deploymentAI governanceSecurityEthical AI principlesComplianceResponsible useAutomation best practices

Hard Skills

Design and develop AI-powered systemsGenerative AIIntelligent automationAgent-based architecturesMachine learning modelsLarge language modelsAutomation platformsOrchestration frameworksAutonomous agentsAI security measuresAPIsAI integrations across the enterpriseProduction deploymentPerformanceReliabilityAI governanceSecurityEthical AI principlesComplianceResponsible use of AIAI tools optimization strategiesAutomation best practicesAI and automation implementations reviewScalable AI integrationsEnterprise integration standardsReusable patterns

Soft Skills

Cross-functional collaborationCollaboration with business and technology teamsMentorshipProviding expert guidanceStaying updated and sharing insightsLeadership and mentorship on AI tools and optimization strategiesReviewing implementations

Industry & Role

Industry Consulting

Job Function Design, build, and deploy scalable AI and automation solutions using Generative AI and large language models.

Role Subtype AI Engineer

Tech Domains Python, Azure, Amazon Web Services, Kubernetes, Docker

Keywords for Your Resume

Artificial Intelligence (AI) EngineerAI EngineerGenerative AIlarge language modelsLarge language modelsmachine learning modelsMachine learning modelsintelligent automationagent-based architecturesAgent-based architecturesautomation platformsAutomation platformsorchestration frameworksOrchestration frameworksautonomous agentsAutonomous agentsAI security measuresAI governanceethical AI principlesresponsible useproduction deploymentAPIsscalable AI integrations

Deal Breakers

No experience designing and developing AI-powered systems with Generative AI and large language models, No ability to support production deployment and AI governance/security/ethical AI principles

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