Guidehouse

Life Sciences

Full‑StackExperienceArchitect-LifeSciencesTechnology

₹25–40L ~AI est. India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Full‑Stack Experience Architect-Life Sciences Technology at Guidehouse. Skills: Full Stack Architecture, Application Architecture, DevSecOps, Cloud-native. Architect web applications. Implement web applications”

Industry & Context.

Life Sciences
Problems you'll solve

Performance optimization; Scalability optimization; Reliability optimization

Eligibility Requirements

None

What They're Looking For.

Must Have

7-10 years full stack engineering, 7-10 years application architecture, Proficiency in React or Next.js, Proficiency in TypeScript, Experience designing RESTful APIs, Experience implementing RESTful APIs, Experience with Node.js, Experience with Java, Experience with Python Flask, Experience with .NET, Hands-on Docker experience, Hands-on Kubernetes experience, Experience implementing CI/CD pipelines, Understanding of secure coding practices, Understanding of authentication models, Understanding of authorization models, Experience implementing monitoring strategies, Experience implementing performance optimization, Experience collaborating in Agile environments, Experience collaborating in distributed delivery, Bachelor's degree in computer science

Nice to Have

Generative AI frameworks experience, Orchestration platforms experience, Embedding analytics platforms experience, Embedding AI services experience, Infrastructure-as-code frameworks familiarity

What You'll Do.

Architect web applications

Implement web applications

Architect microservices

Implement microservices

Define API design standards

Ensure consistent RESTful implementation

Define event-based integrations

Lead application-layer security

Govern application-layer security

Manage token handling

Manage session handling

Manage secure secrets

Architect solutions for performance

Architect solutions for scalability

Architect solutions for reliability

Integrate LLM-based services

Design microservices architectures

Design microservices integrations

Design Agentic AI services

Design service orchestration patterns

Leverage GenAI engineering

Accelerate V0 prototypes

Accelerate V1 MVP development

Ensure application alignment

Provide technical leadership

Enforce engineering quality

Enforce best practices

Develop component libraries

Maintain component libraries

Develop API frameworks

Maintain API frameworks

Develop DevOps templates

Maintain DevOps templates

How You'll Work.

Team & Collaboration

Agile environments; Distributed delivery environments; Analytics Architects; GenAI Architects

Process & Methodology

Agile

Full Job Description

**_Job Family_ :** 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 b

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