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 Dev Ops 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, Lang Chain, Llama Index, 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 Dev Sec Ops practices. - Strong understanding of application security, identity management, OAuth, SSO, RBAC, and data privacy. - Excellent communication, documentation, problem-solving, and stakeholder-management skills.