Sr Technical Architect

16 - 20 years

40 - 60 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

Primary Responsibilities

  • Craft and communicate the overarching architecture vision and technical strategies, and trade-offs at various levels, securing buy-in across the organization
  • Develop comprehensive architectural plans and oversee the implementation of integrated systems that align with business goals
  • Collaborate with business and enterprise architects to understand strategies and provide technical guidance to development teams, helping them resolve complex technical issues and ensuring adherence to architectural standards
  • Provide recommendations and technical guidance to improve performance, reliability, and reusability within budget, resources and business constraints
  • Ensure that system architecture of both own and acquired entities confirms to organization standards
  • Engage with multiple teams and vendors, offering assistance on ongoing projects for design & architecture, and demonstrations of emerging technologies
  • Communicate effectively with stakeholders to explain technical solutions, their benefits, and potential impacts on the organization
  • Maintain detailed architectural blueprints, technical standards, and documentation to ensure consistency and clarity in system design and implementation
  • Present a decision matrix with solution recommendations and rationale of preferred design options to stakeholders
  • Work with delivery teams to identify and mitigate technical debt in architecture aspect, both short-term and strategically
  • Continuously enhance technical knowledge and apply innovative solutions using emergent technologies
  • Promote the use of reusable frameworks and architecture patterns among engineering teams
  • Guide engineering teams to deliver secure solutions that conform to enterprise architecture standards
  • Apply AI first solutions and enable teams to move to the AI based approaches

Required Qualifications

  • Undergraduate degree in applicable area of expertise or equivalent experience.
  • 16+ years of experience in technology with 6+ years of Architecture experience
  • 6+ years of experience dedicated to implementing and integrating technology solutions, spanning data engineering, cloud solutions, system integration, solution design, development/configuration, and deployment
  • 6+ years of experience navigating complex business problems and solution options involving multiple domains and technologies
  • Demonstrated experience in facilitating and leading large-scale, complex architectural projects from conception to implementation
  • 6+ years of experience effectively communicating solutions and patterns to a geographically diverse workforce, including senior leaders and various resource groups
  • 6+ years of experience with industry-standard architecture principles, design patterns, best practices, and technologies
  • 5+ years of experience in technical roles at an architect or senior engineer level
  • 5+ years of experience specializing in enterprise services that provide top-tier experiences, with a solid emphasis on non-functional requirements
  • 5+ years of experience directly involving design or delivery of systems and ensuring compliance with enterprise standards
  • Excellent communication and interpersonal skills
  • Proficiency in programming languages, such as Java,. Net, Python Spring Boot
  • Proficiency in the web and mobile technologies such as React JS, React Native and Abyss framework
  • Professional experience in architecting and implementing solutions on public cloud platforms such as

    Amazon

    , Google and Azure
  • Experience working in Healthcare Payer side supporting member journeys

Experience with AI

  • Knowledge and usage of GenAI
  • Demonstrated experience designing, deploying, or orchestrating Agentic architecture
  • Knowledge of any AI platform such as

    Google Vertex AI

    ,

    Amazon Bedrock

    , or

    Azure AI

  • Knowledge of AI tools and patterns such as MCP, Agent to Agent, AI observability and AI memory

Preferred candidate profile

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