AI Architect

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.