Senior AIOPS Engineer

Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera's AI Copilot uses industry and domain-specific LLMs to deliver human-like experiences and auto- remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction. Aisera has received numerous recognitions, including Leader in the 2024 Gartner Magic Quadrant for Artificial Intelligence Applications in ITSM, FastCompany Best

Workplaces for Innovators, Inc 5000 Award for Fastest Growth, Forbes AI50, EY Entrepreneur of the Year 2023, CNBC Upstart 100 Top Startup, Gartner Cool Vendor, Red Herring Top 100 Global Innovator, CIO Innovation Startup Award, CIO Review Top ITSM Solution, and Silicon Review 50 Most Admired Companies.

The Role: AI Ops Solutions Engineer

We are seeking a highly skilled and experienced AIOps Engineer to join our team in Bangalore. In this role, you will be responsible for designing, developing, and implementing AI-driven solutions that automate Enterprise IT infrastructure and application management. You will partner with multiple teams to help bridge business and technology, helping customers realize the art of the possible with cutting-edge Conversational AI & AI Ops. Your role will be to understand the Aisera platform and use it to demonstrate the value proposition to our clients. You will also partner closely with the post-sales teams to ensure your customers are able to successfully harness the power of Aisera. 

• Sound Knowledge of ITIL Foundations and usage experience of any one ITSM Tool (eg ServiceNow).
• Scripting : Knowledge of JavaScript or any other scripting too. Usage of any Low-Code / No-code platform. Past experience working with REST APIs and workflows for automation.
• Cloud Platforms: Extensive hands-on experience with at least one major cloud platform is mandatory (AWS, Azure, or GCP). Working Knowledge containers - eg Docker and Kubernetes.
• Monitoring and Logging: Expertise in integrating with and leveraging data from any standard monitoring, logging, and alerting tools such as Nagios, Datadog, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), and Splunk.
• DevOps & SRE Practices: Understanding of tools like Ansible / Terraform / Jenkins/ Helm.  Understanding of DevOps and Site Reliability Engineering (SRE) principles & CI/CD pipelines. 
• AI/ML Expertise: Desirable, but not mandatory. Design, train, and deploy machine learning models to analyze operational data (logs, metrics, traces). Your focus will be on anomaly detection, predictive analytics, and automated root cause analysis. Prompt Engineering is a highly desirable skill.

Mandatory Softskills (Weightage 50%) 

• Ability to communicate with clients, ask relevant questions, handle objections and suggest work-around solutions. 
• Ability to scope pilot projects (PoCs), document scope and clearly communicate technical requirements and dependencies.
• Drive pilot projects to successful completion.

• Understanding of the Aisera platform and communicating the value proposition to clients.
• Understand client requirements and map them into the platform capabilities and execution steps.
• Define, build, and execute demos & Proof of Concepts
• Troubleshoot issues and/or escalate to necessary teams during demo prep and POCs
• Participate in necessary onboarding activities: work closely with CSMs, CSEs, SAs for onboarding, education, workshops, escalation management and other activities to ensure successful customer launch
• Continuously research and implement new technologies and best practices in the AIOps domain.
• Troubleshoot and provide expert support for AIOPs tools and solutions.

• At 2 least years of past Infrastructure Mgt experience and 7 to 10 years of overall experience.
• ITIL certification is desirable; knowledge is mandatory.
• Solid understanding of IT operations, infrastructure management, and application performance monitoring.
• Good written documentation skills - eg SoW. Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
• Strong communication and collaboration skills - leading and driving small technical projects.