<p>We are looking for an Artificial Intelligence (AI) Engineer to create and expand advanced AI solutions that support real-world business applications in Atlanta, Georgia. This position is ideal for a hands-on engineer who can turn emerging AI concepts into reliable production systems, from intelligent workflows to scalable backend services. The role blends applied machine learning, large language model integration, and software engineering to deliver secure, high-performing tools in an enterprise setting.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.</p><p>• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.</p><p>• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.</p><p>• Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions.</p><p>• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.</p><p>• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.</p><p>• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.</p><p>• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.</p><p>• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.</p>
We are looking for an Artificial Intelligence (AI) Engineer to create advanced generative AI and agent-driven solutions in a cloud-native environment based in Atlanta, Georgia. This contract opportunity has the potential to become a permanent role and will involve designing, building, and deploying intelligent applications that improve business operations and connect seamlessly with enterprise platforms. The role spans the full development lifecycle, with a focus on scalable architecture, practical AI integration, and high-quality delivery in collaboration with cross-functional teams.<br><br>Responsibilities:<br>• Design and build AI applications that use Claude large language models to support business-focused automation and decision-making.<br>• Create agent-based workflows, including orchestration logic, prompt patterns, and autonomous behaviors that enable reliable task execution.<br>• Develop and implement Model Context Protocol-based agents or comparable agent frameworks within enterprise AI environments.<br>• Connect AI solutions to internal and external platforms through APIs, ensuring secure and efficient access to business data.<br>• Improve application performance by refining token usage, response quality, runtime efficiency, and overall operating cost.<br>• Build backend services, utilities, and supporting components needed to power scalable AI products in production.<br>• Partner with product leaders, technical teams, and business stakeholders to translate requirements into practical AI solutions.<br>• Contribute to deployment planning, testing, and ongoing enhancement of cloud-based AI systems across distributed environments.
<p><strong>Overview</strong></p><p>Our client is seeking a <strong>Senior Cloud & Infrastructure Engineer</strong> to support and enhance enterprise cloud and infrastructure platforms across Microsoft Azure, Linux, Kubernetes/OpenShift, and disaster recovery environments. This role will focus on cloud modernization, infrastructure automation, container platform administration, and operational support for highly available business-critical systems.</p><p><br></p><p><strong>Responsibilities:</strong></p><p><strong>Azure & Cloud Infrastructure</strong></p><ul><li>Design, implement, and support secure, scalable, and highly available Azure solutions.</li><li>Manage Azure infrastructure, networking, and platform services.</li><li>Support cloud modernization efforts and migration of on-premises workloads to Azure.</li><li>Implement identity management, network security, and data protection controls in partnership with security teams.</li><li>Monitor and optimize cloud performance, availability, and cost using Azure Monitor, Log Analytics, and related tools.</li><li>Develop Infrastructure-as-Code and automation solutions using Terraform, Azure CLI, and similar technologies.</li><li>Support integrations with enterprise applications and operational platforms.</li><li>Maintain technical documentation, standards, and operational runbooks.</li></ul><p><strong>Linux & Container Platforms</strong></p><ul><li>Administer and support an enterprise environment of 200+ Linux servers across production, QA, and development environments.</li><li>Perform OS upgrades, patching, performance tuning, and system maintenance.</li><li>Deploy, administer, and support Kubernetes and OpenShift environments.</li><li>Manage cluster lifecycle activities including installation, upgrades, patching, scaling, and maintenance.</li><li>Configure and support RBAC, namespaces, networking, ingress controllers, and persistent storage.</li><li>Partner with application teams on containerized workloads and production deployments.</li><li>Monitor platform health, performance, capacity, and availability.</li><li>Troubleshoot issues across Linux, containers, networking, and storage environments.</li></ul><p><strong>Infrastructure Operations & Disaster Recovery</strong></p><ul><li>Support enterprise backup, disaster recovery, and business continuity initiatives.</li><li>Assist with backup validation, recovery testing, and disaster recovery planning.</li><li>Support Rubrik and Zerto environments.</li><li>Participate in incident response, root cause analysis, and infrastructure reliability efforts.</li><li>Participate in an on-call rotation supporting critical systems and services.</li></ul><p><strong>*Please note: This is a fully onsite role in Johns Creek, GA. Please don't apply to this posting if you're not already local to Metro ATL and willing to work onsite.</strong></p>
<p><strong>Overview</strong></p><p>We are seeking a <strong>Senior Data Security Engineer</strong> to lead enterprise-wide data protection initiatives focused on Data Loss Prevention (DLP), Cloud Access Security Broker (CASB), and data governance programs. This individual will play a key role in designing, implementing, and managing strategies that protect sensitive data across both cloud and on-premises environments.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Lead the design, implementation, and optimization of enterprise DLP and CASB programs.</li><li>Architect and manage data discovery, classification, labeling, and protection initiatives.</li><li>Support data governance and compliance efforts through effective security controls and monitoring.</li><li>Lead investigations involving data loss, policy violations, and potential data exfiltration events.</li><li>Integrate security telemetry and data protection events into detection and monitoring platforms.</li><li>Drive threat hunting and proactive monitoring efforts related to sensitive data exposure.</li><li>Evaluate and recommend security tools, technologies, and vendors.</li><li>Partner with security, infrastructure, compliance, legal, and business stakeholders to implement enterprise data protection strategies.</li><li>Develop policies, standards, and best practices for data security and governance.</li><li>Mentor junior security team members and provide technical leadership across security initiatives.</li></ul><p><strong>*Please note: This is a fully onsite position in Johns Creek, GA. Please don't apply to this posting if you're not already local to Metro ATL and willing to work onsite</strong></p>