AIOps Architect

HCL Technologies
Cranford, UK
Closing date
14 Oct 2020

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Technology & New Media
Contract Type
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Provide solutions to customers where data acts as the core of decision making, will be responsible for defining and evolving the road map of the core architecture of the Artificial Intelligence and Advanced Analytics (e.g., an application's structure, interfaces, and the application distribution strategy) to ensure that Operations business needs are supported in an integrated and value added way. The AI Ops architect will also define and implement an application rationalization strategy to migrate to a business relevant application portfolio which is future ready.

Responsibilities and Duties
  • A minimum of 8 years of experience in the below areas mentioned.
  • Should have a strong understanding of Ai Ops tools like Splunk and Dynatrace with respect to infrastructure services.
  • Should have a good exposure to the RPA and Chat bot tools like Blueprism, Solvemate and ADA or similar tools.
  • Should have experience with some of the ML and analytics tools like Knime, Sisense and Tesnor flow or any other tools in the market be it open source or licensed.
  • Strong understanding on the licensing models of various tools and their use case scenarios based on implementation experience.
  • Should be able to provide solutions, estimate the efforts and work on RFP for various customers in different industries. Experience in building Ai Ops solutions for business decision making and also IT platform management as well.
  • Hands on experience as an Architect in delivering Ai Ops solutions for large customers who are using multiple ERP and Analytics solutions for day to day business.
  • Provide Peer analysis on the SaaS tools in AI-Ops area and provide details on the key differentiates.
  • Knowledge on API's and connectors to integrate these tools with different analytics tools and some idea on On-premise and Cloud analytics tools.
  • Should help in identifying right tool based on the customer requirements and their current landscape architecture.
  • Should be able to provide a design for a custom solution based on customer needs and should have experience working with data scientists and diversified teams in different platforms.
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