AI Architect
Computer Aid, Inc.1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Define the technical vision and architecture for conversational AI platforms, AI governance systems, and domain-specific agentic solutions.
- Design cloud-native, microservices-based GenAI architectures using AWS or Azure, Kubernetes, and API management platforms.
- Establish standards for LLM integration, RAG systems, vector databases, AI orchestration, and multi-tenant SaaS solutions.
- Define technology selections spanning frontend, backend, databases, AI frameworks, APIs, message brokers, and enterprise integrations.
- Design AI governance frameworks covering usage tracking, cost optimization, access control, compliance, privacy, and audit logging.
- Architect API security, encryption, zero-trust, role-based access, data isolation, and observability strategies.
- Design MLOps pipelines for model deployment, versioning, monitoring, and A/B testing.
- Provide technical leadership to engineering teams across India and Singapore and mentor architects and senior engineers.
- Conduct architecture and design reviews and guide implementation decisions for high-impact GenAI projects.
- Collaborate with product managers, business stakeholders, and executive leadership to align architecture with business objectives.
- Manage vendor relationships, technology partnerships, and third-party integrations.
Requirements
- 15+ years of experience in enterprise software architecture, including 5+ years designing AI/ML platforms or GenAI solutions.
- Deep expertise in AWS or Azure, cloud-native architectures, microservices, API design, and distributed systems.
- Strong knowledge of LLMs, RAG systems, vector databases, prompt engineering, and agentic frameworks.
- Experience architecting enterprise-scale platforms serving more than 10,000 users with high availability and security requirements.
- Expertise with FastAPI, Node.js, Django, React, Angular, SQL, NoSQL, and vector databases.
- Knowledge of LangChain, LlamaIndex, Hugging Face, TensorFlow Serving, Triton, and MLOps practices.
- Proficiency with MuleSoft, Apigee, Kong, Kafka, RabbitMQ, and event-driven architectures.
- Deep knowledge of OAuth 2.0, JWT, encryption, OWASP, SOC 2, GDPR, and data privacy.
- Ability to lead cross-functional teams, influence technical decisions, communicate complex architectures, and align stakeholders.
- Experience managing vendors, technology partnerships, and third-party integrations.
- Preferred certifications include AWS Solutions Architect Professional, Azure Solutions Architect Expert, TOGAF, or equivalent.
- Preferred experience includes AI governance platforms, prompt management systems, LangSmith, Weights & Biases, Istio, Linkerd, API federation, and zero-trust security architectures.
- Experience in manufacturing, engineering, or industrial domains is a plus.
Benefits
- Full-time employment with remote worksite flexibility.
- Reasonable accommodation support is available during the application and selection process.
Tech Stack
AngularApache KafkaAWSAzureDatadogDjangoFastAPIGrafanaIstioKubernetesMongoDBNode.jsPostgreSQLPrometheusRabbitMQReact
Categories
About Computer Aid, Inc.
Computer Aid, Inc. (CAI) provides IT consulting, managed services, and talent solutions for public agencies and enterprises, spanning digital services, enterprise service management, data and AI, and contingent staffing. The privately held company, founded in 1981 and headquartered in Allentown, Pennsylvania, also runs its Neurodiverse Solutions program to support neurodivergent talent. CAI delivers project delivery, application support, and service desk operations across government and commercial markets.