Data Science \& Analysis (India) **Travel Required****:**
None **Clearance Required****:**
None**Position Summary:**
The Full Stack Experience Architect, Life Sciences Technology, leads the design and delivery of secure, scalable technology applications that operationalize analytics, workflows, and AI capabilities. This role owns application\-layer architecture, API strategy implementation, DevSecOps practices, and production readiness standards across life sciences technology programs.
The architect ensures that user\-facing solutions are performant, secure, and maintainable, while enabling rapid prototyping and iteration through modern engineering practices.
*What You Will Do****:**
Architect and implement modern web applications and microservices supporting analytics dashboards, workflow automation, and AI\-driven decision tools.
Define API design standards and ensure consistent implementation of RESTful services, define SLOs and event\-based integrations.
Lead and govern application\-layer security controls, including SSO integration, RBAC enforcement, token/session management, and secure secrets handling.
Architect and optimize solutions for performance, scalability, and reliability across distributed, cloud\-native environments.
Partner with Analytics and GenAI Architects to safely and efficiently integrate LLM\-based services into enterprise application workflows.
Design and oversee microservices architectures and integrations, including Agentic AI services, MCP tools, and related service orchestration patterns.
Leverage GenAI\-assisted engineering practices to accelerate V0 prototypes and V1 MVP development while maintaining security, quality, compliance, and traceability.
Ensure application implementations align with enterprise integration blueprints, architecture standards, and non\-functional requirements (NFRs).
Provide technical leadership through mentorship, code reviews, and enforcement of engineering quality standards and best practices.
Develop and maintain reusable component libraries, API frameworks, and DevOps templates to promote standardization and accelerate future solution delivery.
*What You Will Need****:**
7–10 years of experience in full stack engineering and application architecture.
Strong proficiency in React or Next.js and TypeScript.
Experience designing and implementing RESTful APIs using Node.js, Java, Python Flask, or .NET.
Hands\-on experience with Docker and Kubernetes in cloud\-native environments.
Experience implementing CI/CD pipelines using GitHub Actions, Azure DevOps, or similar.
Exposure to next\-generation development and automation tools such as n8n, Lovable, Supabase, Figma Make, and similar rapid application development and workflow orchestration platforms.
Strong understanding of secure coding practices and authentication/authorization models.
Experience implementing monitoring and performance optimization strategies.
Experience collaborating in Agile, distributed delivery environments.
Bachelor’s degree in computer science or related discipline.
*What Would Be Nice To Have****:**
Experience with Generative AI frameworks and orchestration platforms, such as LangChain, LangGraph, Model Context Protocol (MCP), AWS Bedrock Agents, and related ecosystem tools.
Experience embedding analytics platforms or AI services into enterprise applications.
Familiarity with infrastructure\-as\-code frameworks (Terraform, Bicep, or similar).
*What We Offer****:**
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
*About Guidehouse**
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
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