Lead ML Integration Engineer

6 to 9 years of experience Skills: Python, OpenShift, Kubernetes, LLM Prompt Engineering, RAG, Microservices Architecture We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm. Your Role The Lead ML / Integration Engineer role focuses on building and integrating Generative AI and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 7+ years of experience in Machine Learning engineering or AI system integration. Hands-on experience with OpenShift, Docker, Kubernetes . Knowledge of cloud platforms (e.g. AWS , GCP) is a must-have. Exposure to data and network security and compliance in AI systems. Understanding of Generative AI and Agentic AI concepts . Experience with LLM prompt engineering, or RAG pipelines. Knowledge of API integration and microservices architecture. Proficiency in Python used both for ML and automation tasks Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have. Knowledge of Workflow Orchestrator , such as Ctrl-M Knowledge of Logging and Monitoring tools, such as Splunk and Geneos . Experience with Observability framework , such as Langfuse, Elastic Stack, Grafana, OpenTelemetry. Key Responsibilities Design and implement scalable ML pipelines for Generative and Agentic AI applications. Integrate AI models into production environments using containerized platforms such as OpenShift and Kubernetes . Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions. Develop and maintain automation scripts using Linux shell scripting , Python , or other relevant tools. Ensure seamless deployment and integration of AI services in cloud environments (e.g., AWS, Azure, GCP). Implement and maintain network security protocols to safeguard AI systems and data pipelines. Monitor and optimize system performance , reliability , and scalability . Support CI/CD processes and infrastructure for AI model deployment and updates. We understand technologists. We know what gets them excited. There's plenty of opportunity here and lots of new technology that we're exploring. Over time your interests will change, the things that excite you will change, and the technology will change, but what stays the same for Bounteous is creating growth opportunities for our team and our relentless pursuit to create transformative digital experiences. Le'Rhone Walker VP Technology, Healthcare Join our fast-growing company and take advantage of our competitive benefits and career development opportunities. Stay balanced with our health & wellness perks, collaborative culture, and flexible working options. Award-Winning Culture Fostering a rich and diverse work environment that fuels creativity, collaboration, and a deep sense of belonging. Professional Growth Opportunities Offering personal and professional development opportunities, on the job mentoring from in-house experts, and assistance for ongoing learning. Supporting benefit choices that include personal and family needs. World-Class, Fortune 500 Engagements Transforming experiences and improving business outcomes for global brands. Flexible Working Choose to work from home, work at the office, or go hybrid. Coordinate with clients and teams across time zones to support your personal preferences. Giving Back to Our Community Be an active part of our corporate social responsibility programs. Together, we can make our community better. #J-18808-Ljbffr