AI Delivery Engineer

Job Description

Job Description Job Location: Pune. Full time in person 4 days a week from Strategy Pune Office. Job Description: As an AI Delivery Engineer, you will play a critical role in deploying our Auto 2.0 bots across diverse customer environments. You will leverage your expertise in Strategy Software and Cloud platforms to ensure seamless integration and optimal performance. Your familiarity with container technologies will be essential in managing scalable and flexible deployments. If you are passionate about AI technology and have a proven track record in software delivery, we invite you to apply. Key Responsibilities: Deploy Auto 2.0 bots in customer environments, ensuring alignment with client-specific requirements and configurations. Collaborate with cross-functional teams to design and implement deployment strategies that meet business goals. Utilize Strategy Software to guide deployment decisions, optimizing the use of tools and technologies to achieve desired outcomes. Integrate AI solutions within cloud environments (AWS, Azure, GCP) to ensure robust, scalable, and secure deployments. Manage containerization of AI applications using tools such as Docker or Kubernetes to enhance deployment flexibility and performance. Troubleshoot and resolve technical issues that arise during deployment, providing timely support and solutions to clients. Partner with customer teams to deliver training and support, enhancing their understanding and use of deployed solutions. Document deployment processes, configurations, and client interactions to support continuous improvement and knowledge sharing. Stay updated with industry trends and technological advancements to ensure cutting-edge solutions for our clients. Qualifications: Bachelor s degree in Computer Science, Software Engineering, or a related field. Proven experience in deploying AI technologies or similar software solutions in enterprise environments. Strong understanding of Strategy Software principles and practices. Extensive experience with cloud environments (AWS, Azure, GCP) and their associated deployment strategies. Proficiency in containerization technologies such as Docker and Kubernetes. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. Strong communication and interpersonal skills, with the ability to work effectively in a team and client-facing role. Highly organized and detail-oriented, with a commitment to delivering quality solutions on time and within scope. Work with various Large Language Models (LLMs), including OpenAI and Azure OpenAI, to enhance AI-driven functionalities. Additional Information The recruitment process includes online assessments as a first step. We send them via e-mail, please check also your SPAM folder.