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8 Aganitha Cognitive Solutions Jobs

Lead Solutions Architect

8-14 years

Hyderabad / Secunderabad

1 vacancy

Lead Solutions Architect

Aganitha Cognitive Solutions

posted 28d ago

Job Description

Engage and co-innovate with RD teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Chemists, Computational Biologists, Data Scientists, Data Engineers, and Web Developers to create the next generation of innovative computational solutions for drug discovery and development.
  • Lead architecture initiatives from inception to completion
  • Design and oversee implementation of solutions for BioPharma RD
  • Manage Engineering teams using Agile methodologies
  • Enhance reuse with platforms, frameworks, and libraries
  • Collaborate with business users to create architecture in alignment with a business need
  • Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment and ensure delivered solutions meet/perform to technical and functional/non-functional requirements.
  • Champion the adoption of reusable architecture assets to improve efficiency
  • Produce documentation to aid in the understanding of existing architecture solutions
  • Advise our technical teams to optimize the recommended product suite in defining, building, and deploying end-to-end solutions
  • Lead the translation of the client s business requirements into systems design
  • Drive the development of prototypes and technology demonstrators within microservice architecture, cloud-native solutions
  • Design and document system installation and upgrade guides, specifications, and related standards and guide technical team, application specialists
  • Design application user guides, document common workflows, prepare training materials and conduct or participate in knowledge-sharing sessions with technical teams
  • Design future state reference architectures that will provide a template for teams to achieve security, scalability, reliability, and maintainability
  • Design and implement optimal deployment strategies and custom interfaces for integration with customer systems and technologies
  • Help customers tackle thorny technical issues by collaborating to create smart, efficient, and effective solutions
  • Work closely with customers on the installation, configuration, and update/maintenance of on-premises or cloud-hosted installations of our scientific computing and enterprise software applications
  • Collaborate with product managers, developers, and scientists, to improve the deployment, support, and configuration of our applications
Engage and co-innovate with RD teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Chemists, Computational Biologists, Data Scientists, Data Engineers, and Web Developers to create the next generation of innovative computational solutions for drug discovery and development.
  • Lead architecture initiatives from inception to completion
  • Design and oversee implementation of solutions for BioPharma RD
  • Manage Engineering teams using Agile methodologies
  • Enhance reuse with platforms, frameworks, and libraries
  • Collaborate with business users to create architecture in alignment with a business need
  • Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment and ensure delivered solutions meet/perform to technical and functional/non-functional requirements.
  • Champion the adoption of reusable architecture assets to improve efficiency
  • Produce documentation to aid in the understanding of existing architecture solutions
  • Advise our technical teams to optimize the recommended product suite in defining, building, and deploying end-to-end solutions
  • Lead the translation of the client s business requirements into systems design
  • Drive the development of prototypes and technology demonstrators within microservice architecture, cloud-native solutions
  • Design and document system installation and upgrade guides, specifications, and related standards and guide technical team, application specialists
  • Design application user guides, document common workflows, prepare training materials and conduct or participate in knowledge-sharing sessions with technical teams
  • Design future state reference architectures that will provide a template for teams to achieve security, scalability, reliability, and maintainability
  • Design and implement optimal deployment strategies and custom interfaces for integration with customer systems and technologies
  • Help customers tackle thorny technical issues by collaborating to create smart, efficient, and effective solutions
  • Work closely with customers on the installation, configuration, and update/maintenance of on-premises or cloud-hosted installations of our scientific computing and enterprise software applications
  • Collaborate with product managers, developers, and scientists, to improve the deployment, support, and configuration of our applications
Desired Skills / Expertise
  • Big data engineering with distributed computing frameworks
  • Cloud and DevOps automation
  • App dev with modern tech stacks of Python, ReactJS, and fit-for-purpose database technologies
  • Experience in directing/building solutions leveraging Machine learning (ML) and AI (Deep learning)
  • Excellent communication skills with a desire to work in multidisciplinary teams
Engage and co-innovate with RD teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Chemists, Computational Biologists, Data Scientists, Data Engineers, and Web Developers to create the next generation of innovative computational solutions for drug discovery and development.
  • Lead architecture initiatives from inception to completion
  • Design and oversee implementation of solutions for BioPharma RD
  • Manage Engineering teams using Agile methodologies
  • Enhance reuse with platforms, frameworks, and libraries
  • Collaborate with business users to create architecture in alignment with a business need
  • Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment and ensure delivered solutions meet/perform to technical and functional/non-functional requirements.
  • Champion the adoption of reusable architecture assets to improve efficiency
  • Produce documentation to aid in the understanding of existing architecture solutions
  • Advise our technical teams to optimize the recommended product suite in defining, building, and deploying end-to-end solutions
  • Lead the translation of the client s business requirements into systems design
  • Drive the development of prototypes and technology demonstrators within microservice architecture, cloud-native solutions
  • Design and document system installation and upgrade guides, specifications, and related standards and guide technical team, application specialists
  • Design application user guides, document common workflows, prepare training materials and conduct or participate in knowledge-sharing sessions with technical teams
  • Design future state reference architectures that will provide a template for teams to achieve security, scalability, reliability, and maintainability
  • Design and implement optimal deployment strategies and custom interfaces for integration with customer systems and technologies
  • Help customers tackle thorny technical issues by collaborating to create smart, efficient, and effective solutions
  • Work closely with customers on the installation, configuration, and update/maintenance of on-premises or cloud-hosted installations of our scientific computing and enterprise software applications
  • Collaborate with product managers, developers, and scientists, to improve the deployment, support, and configuration of our applications
Desired Skills / Expertise
  • Big data engineering with distributed computing frameworks
  • Cloud and DevOps automation
  • App dev with modern tech stacks of Python, ReactJS, and fit-for-purpose database technologies
  • Experience in directing/building solutions leveraging Machine learning (ML) and AI (Deep learning)
  • Excellent communication skills with a desire to work in multidisciplinary teams

Employment Type: Full Time, Permanent

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