Lead AI/DevOps Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead AI/DevOps Engineer in United States.

As a Lead AI/DevOps Engineer, you will drive the design, deployment, and management of scalable AI and DevOps solutions that enhance enterprise operations and customer experience. You will lead initiatives to implement advanced AI infrastructures, including large language models, retrieval-augmented generation, and agentic workflows, ensuring high availability, security, and compliance. Collaborating with cross-functional teams, you will optimize cloud and on-prem environments, support AI proof-of-concept projects, and deliver innovative technical solutions to complex problems. This role offers the opportunity to mentor and lead technical teams, influence AI strategy, and contribute to impactful, high-visibility projects. Ideal candidates are technically skilled, customer-focused, and thrive in collaborative, fast-paced environments.

Accountabilities

• Lead DevOps initiatives and manage AI infrastructure in on-prem and cloud environments.
• Design, deploy, and orchestrate large language models and related AI services using Kubernetes, Docker, and Helm.
• Develop proof-of-concept AI solutions, including model context protocols (MCPs), retrieval-augmented generation (RAG), and agentic workflows.
• Partner with security and governance teams to ensure AI solutions comply with enterprise policies, privacy, and regulatory standards.
• Collaborate with infrastructure and platform teams to optimize cloud resources for scalable and cost-effective AI workloads.
• Engage with customer teams to gather requirements, deliver solutions, and provide technical support throughout the AI product lifecycle.
• Monitor emerging trends in AI and DevOps to inform strategy and identify opportunities for innovation.
• Mentor junior engineers and lead initiatives to improve team processes and technical capabilities.

• Proven experience with DevOps tools, including Splunk, Dynatrace, Grafana, Prometheus, OpenShift Kubernetes, Docker, and Helm.
• Strong programming skills in Python; GoLang is a plus.
• Expertise in deploying, managing, and scaling AI solutions and cloud-native applications.
• Experience with enterprise security, privacy compliance, and governance standards.
• Strong analytical and problem-solving skills, with the ability to design innovative AI workflows.
• Excellent communication skills to convey complex technical concepts to technical and non-technical stakeholders.
• Customer-focused mindset, proactive in identifying challenges and delivering impactful solutions.
• Experience leading cross-functional technical teams in fast-paced environments.
• Familiarity with on-prem and cloud hybrid environments, including resource optimization and cost management.

• Competitive base salary and potential annual bonuses.
• Comprehensive health, dental, and vision insurance.
• Life insurance and disability coverage.
• Generous paid time off, personal days, and observed holidays.
• 401(k) retirement plan with employer match.
• Tuition reimbursement and professional development opportunities.
• Flexible work arrangements, including fully remote options.
• Exposure to cutting-edge AI technologies and high-impact projects.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1