AI Architect **Req number:** R8730 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** We are looking for a motivated AI Architect ready to take us to the next level! If you have lead the design, strategy, and implementation of cutting-edge AI/ML platforms and solutions and are looking for your next career move, apply now. **Job Description** We are looking for an **AI Architect** to lead the design, strategy, and implementation of cutting-edge AI/ML platforms and solutions. This position will be **full time** and **remote** . **What You'll Do** + Define technical vision and architecture for conversational AI platforms, AI governance systems, and domain-specific agentic solutions + Design cloud-native, microservices-based architectures for GenAI applications using AWS/Azure, Kubernetes, and API management platforms + Establish architectural standards for LLM integration (Claude, OpenAI), RAG systems, vector databases, and AI orchestration + Drive technology selection for frontend (React/Angular), backend (FastAPI, Node.js), databases (PostgreSQL, MongoDB, OpenSearch), and AI frameworks (LangChain, LlamaIndex) + Design AI governance frameworks including usage tracking, cost optimization, access control (RBAC/ABAC), and compliance enforcement (SOC 2, GDPR) + Architect API security patterns (OAuth 2.0, JWT, mTLS),



data encryption, and audit logging for AI platforms + Define multi-tenancy architecture for SaaS-based AI solutions with role-based access and data isolation + Provide technical leadership to engineering teams (backend, frontend, AI/ML, DevOps) across India CoE and Singapore + Conduct architecture reviews, design reviews, and guide implementation decisions for high-impact GenAI projects + Collaborate with product managers, business stakeholders, and executive leadership to align technical architecture with business objectives + Mentor architects and senior engineers on cloud-native design, AI/ML best practices, and enterprise integration patterns + Design MLOps pipelines for AI model deployment, versioning, monitoring, and A/B testing + Architect enterprise integrations with APIs, message brokers (Kafka, RabbitMQ), and legacy systems using event-driven patterns + Define observability and monitoring strategies using Prometheus, Grafana, Datadog, and CloudWatch **What You'll Need** Required: + 15+ years in enterprise software architecture with 5+ years designing AI/ML platforms or GenAI solutions + Deep expertise in cloud-native architectures (AWS/Azure), microservices, API design, and distributed systems + Strong knowledge of GenAI technologies (LLMs, RAG systems, vector databases, prompt engineering, agentic frameworks)



+ Proven experience architecting enterprise-scale platforms serving 10,000+ users with high availability and security requirements + Expert-level knowledge of backend frameworks (FastAPI, Node.js, Django), frontend frameworks (React, Angular), and database systems (SQL, NoSQL, vector databases) + Strong understanding of AI/ML frameworks (LangChain, LlamaIndex, Hugging Face), model serving (TensorFlow Serving, Triton), and MLOps practices + Proficiency in API management (MuleSoft, Apigee, Kong), event-driven architectures, and message brokers (Kafka, RabbitMQ) + Deep knowledge of security (OAuth 2.0, JWT, encryption, OWASP), compliance (SOC 2, GDPR), and data privacy + Proven ability to lead cross-functional teams, influence technical decisions, and drive architectural alignment + Excellent communication skills with ability to present complex architectures to executive leadership and non-technical stakeholders + Experience managing vendor relationships, technology partnerships, and third-party integrations + Strong decision-making abilities based on data-driven insights, trade-off analysis, and business impact Preferred: + Certifications: AWS Solutions Architect Professional, Azure Solutions Architect Expert, TOGAF, or equivalent + Experience with AI governance platforms, prompt management systems, and LLM observability tools (LangSmith, Weights & Biases) + Knowledge of service mesh (Istio, Linkerd), API federation, and zero-trust security architectures + Prior experience in manufacturing, engineering, or industrial domains is a plus **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 - 8111.

📌 AI Architect (India)
🏢 CAI
📍 India