AI Forward Deployed Engineer

An AI Forward Deployed Engineer is responsible for bridging advanced AI solutions with production environments, ensuring seamless deployment, integration, and operation of AI inference systems. This role requires a technically proficient professional capable of handling customer-facing deployments, system troubleshooting, and performance tuning across cloud, on-premises, and hybrid infrastructures. The engineer will collaborate closely with data science, engineering, and operations teams to deliver reliable and secure AI-driven solutions in a fast-paced environment., * Lead the end-to-end deployment of AI models and inference systems into customer production environments.

• Integrate AI solutions with existing enterprise systems, APIs, and data pipelines.
• Design and implement optimized AI inference architectures focusing on latency, throughput, and cost-efficiency.
• Support and manage cloud, on-premises, and hybrid deployment models, tailoring approaches to customer needs.
• Ensure post-deployment system stability, performance, and reliability of AI solutions.
• Develop automation scripts and tools to streamline AI operations and improve efficiency.
• Implement observability frameworks, including logging, metrics, tracing, and alerting, to monitor AI workloads.
• Perform performance tuning and resource optimization for inference pipelines and supporting infrastructure.
• Act as the primary technical contact for customers during deployment, troubleshooting, and support phases.
• Collaborate across teams to translate technical requirements and feedback for continuous improvement.

• 4+ years of experience in deployment engineering, solutions engineering, or machine learning engineering roles.
• Proven experience deploying and maintaining AI/ML models in production environments.
• Strong proficiency in Python and shell scripting for automation and system integration.
• Hands-on experience with AI inference frameworks and model serving platforms such as TensorRT, Triton, TorchServe, or vLLM.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience deploying workloads on major cloud platforms including AWS, Azure, or GCP.
• Working knowledge of observability tools including Prometheus, Grafana, Datadog, or OpenTelemetry.
• Ability to troubleshoot complex technical issues in customer-facing settings.
• Effective communication skills for engaging technical and non-technical audiences.
• Availability to work in a fully remote environment.

At GDH, we believe in the power of people and the importance of caring. Our culture statement, "We care about people," isn't just a tagline - it's the core of everything we do. GDH is a premier staffing and talent solutions company dedicated to helping businesses find the best talent and assisting job seekers in finding their dream jobs. Who We Are: GDH, founded in 2001, has grown into a leader in providing staffing solutions across various industries. We specialize in IT across several sectors, connecting top talent with leading enterprises. As a Best of Staffing firm recognized for excellence in client, employee, talent, and women's services, we pride ourselves on our commitment to quality and service. GDH Benefits GDH offers a range of employee benefits that are designed to promote well-being and help maintain a healthy work-life balance. These comprehensive benefits cover various aspects of an employee's life and aim to enhance their overall experience with the company. Our health benefits include three medical insurance options with access to KISx Card, Zero Card, and HealthJoy concierge services. Other plan offerings include dental, vision, life, disability, supplemental insurance, and pet insurance plans. Enjoy additional perks like holiday pay, 401(k) plan, direct deposit, an employee referral program, work-life balance benefits, a Wellbeats membership, a discounted gym membership program, and more! For more detailed information on benefits, please go to GDH's website under the tab for candidates.