Job Description
We are seeking a highly experienced solution architect with expertise in application development, data engineering, BI reporting, cloud services along with hands-on experience in AI/ML-driven analytics. This role will architect scalable solutions across projects within Nagarro's Life Sciences Business Unit, while actively contributing to proposal building, bid preparation, and client presentations for global clients.
System Design & Architecture
Define overall system architecture (microservices, event-driven, Choose technology stack (languages, frameworks, databases)Create high-level design diagrams and technical specifications Leverage AI in the solution proposalsTechnical Leadership
Guide development teams on best practices, inlcuding usage of AI Review code and ensure architectural alignmentNon-Functional Requirements
Ensure system meets: Scalability, Performance, Security, ReliabilityDefine standards for logging, monitoring, and error handlingStakeholder Collaboration
Work with:Product and Project managers, Business stakeholders, DevOps and QA ManagementTranslate business requirements into technical solutionsGovernance & Standards
Define coding standards and architectural guidelines, considering AI processesEnsure consistency across multiple teams or servicesRisk Management
Identify technical risks earlyMake trade-offs between cost, speed, and qualityQualifications
Core & Technical Skills:
15+ years of experience working within the IT domain with a technical background in software engineering and data analytics. Strong knowledge of solution architecture for data analytics, BI, cloud, and application development purposes.Hands-on expertise in cloud services, BI and data integration tools.Application Development: background with Python, Java, or .NET, for data-heavy applications.Previous exposure to IT projects within the Life Sciences industry or similar highly regulated environments. Business & Pre-Sales Skills:
Experience with proposal development, bid preparation, and solution presentation. Excellent communication skills to engage with C-level life sciences stakeholders. Ability to translate technical solutions into business outcomes.Fluent in English.
