Full Stack Architect – AI & Intelligent Applications

Job Title: Full Stack Architect – AI & Intelligent Applications
Location: United States (Remote)
Candidates must be currently based in the United States
Compensation: $100/hr(Max)
Notice Period: Immediate Joiners Preferred
Employment Type: W-2 | Full-Time | Remote (US-based)
Job Summary
We are seeking an experienced Full Stack Architect with strong AI expertise to design and lead the development of scalable, secure, and cloud-native applications. This role will define the end-to-end architecture across front-end, back-end, data, cloud, and AI layers while providing technical leadership to engineering teams.
The ideal candidate has hands-on experience building modern full-stack platforms and integrating generative AI, large language models, intelligent agents, machine learning services, and enterprise data sources into production applications.
Key Responsibilities
- Define the end-to-end architecture for enterprise web, mobile, and AI-powered applications.
- Design scalable front-end, back-end, API, data, integration, and cloud architectures.
- Build and integrate generative AI solutions using LLMs, RAG, AI agents, embeddings, and vector databases.
- Evaluate and select appropriate AI models, frameworks, cloud services, and development platforms.
- Develop architecture standards, reusable components, technical patterns, and engineering best practices.
- Design secure REST, GraphQL, event-driven, and microservices-based integrations.
- Lead technical design sessions, architecture reviews, code reviews, and proof-of-concept development.
- Establish AI governance practices covering model security, data privacy, hallucination reduction, observability, and responsible AI.
- Partner with product, business, data science, UX, security, and DevOps teams to translate requirements into technical solutions.
- Guide development teams throughout implementation, testing, deployment, and production support.
- Optimize application performance, scalability, reliability, and cloud infrastructure costs.
Required Qualifications
- 10+ years of software engineering experience, including 3+ years in an architect or technical leadership role.
- Strong experience with modern front-end frameworks such as React, Next.js, Angular, or Vue.js.
- Advanced back-end development experience with Node.js, Java, Python, .NET, or similar technologies.
- Experience designing microservices, APIs, distributed systems, and event-driven architectures.
- Hands-on experience with generative AI technologies, including:
- Large language models and prompt engineering
- Retrieval-Augmented Generation
- AI agents and workflow orchestration
- Embeddings and vector databases
- Model evaluation, monitoring, and guardrails
- Experience with AI platforms and frameworks such as OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, LangChain, LlamaIndex, Semantic Kernel, or similar tools.
- Strong cloud experience with AWS, Azure, or Google Cloud Platform.
- Experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or Elasticsearch.
- Knowledge of containerization, Kubernetes, CI/CD, infrastructure automation, and DevSecOps practices.
- Strong understanding of application security, identity management, OAuth, SSO, RBAC, and data privacy.
- Excellent communication, documentation, problem-solving, and stakeholder-management skills.

Work arrangement
Yes