Senior Technical Architect – AI & Event-Driven Systems

Job Profile: Technical Architect:

Company Transnational AI Private Limited

Job Summary

Transnational AI Private Limited is a deep-tech organization building intelligent digital platforms that combine modern event-driven architecture, cloud-native systems, and AI/ML-powered intelligence. We are hiring a senior Technical Architect to design and lead the backend development and system design for real-time, event-driven microservices that seamlessly integrate AI/ML capabilities. You will work with cutting-edge frameworks such as FastAPI, Kafka, AWS Lambda, and collaborate with data scientists to embed ML models into production-grade systems.

Key Responsibilities

System Architecture & Event-Driven Design

Design and implement event-driven architectures using Apache Kafka to orchestrate distributed microservices and streaming pipelines.

Define scalable message schemas (e.g., JSON/Avro), data contracts, and versioning strategies to support AI-powered services.

Architect hybrid event + request-response systems to balance real-time streaming and synchronous business logic.

Backend & AI/ML Integration:

Develop Python-based microservices using Fast API, enabling both standard business logic and AI/ML model inference endpoints.

Collaborate with AI/ML teams to operationalize ML models (e.g., classification, recommendation, anomaly detection) via REST APIs, batch processors, or event consumers.

Integrate model-serving platforms such as SageMaker, MLflow, or custom Flask/ONNX-based services.

Cloud-Native & Serverless Deployment (AWS)

Design and deploy cloud-native applications using AWS Lambda, API Gateway, S3, CloudWatch, and optionally SageMaker or Fargate.

Build AI/ML-aware pipelines that automate retraining, inference triggers, or model selection based on data events.

Implement autoscaling, monitoring, and alerting for high-throughput AI services in production.

Data Engineering & Database Integration:

Ingest and manage high-volume structured and unstructured data across MySQL, PostgreSQL, and MongoDB.

Enable AI/ML feedback loops by capturing usage signals, predictions, and outcomes via event streaming.

Support data versioning, feature store integration, and caching strategies for efficient ML model input handling.

Testing, Monitoring & Documentation :

Write unit, integration, and end-to-end tests for both standard services and AI/ML pipelines.

Implement tracing and observability for AI/ML inference latency, success/failure rates, and data drift.

Document ML integration patterns, input/output schema, service contracts, and fallback logic for AI systems.

Required Skills

Skill Area Required Level

Python(3.x) Expert

FastAPI Expert

Apache Kafka(EDA) Expert

EventStreaming&AsyncProgramming Advanced

AWS(Lambda,S3,CloudWatch,APIGW) Advanced

MySQL/PostgreSQL/MongoDB Advanced

Git&GitLabCI/CD Advanced

AI/MLModelIntegration(REST/Event) Advanced

MLFrameworks(scikit-learn,XGBoost,etc.) Intermediate+

MLServingTools(SageMaker, MLflow) Intermediate

Docker/Containerization Intermediate

OpenAPI&AsyncAPISpecs Expert

Preferred Qualifications

• 6+yearsofbackendsoftwaredevelopmentexperiencewith2+yearsinAI/MLintegrationor MLOps.
• Strong experience in productionizing MLmodels for classification, regression, orNLPuse cases.
• Experiencewithstreamingdatapipelinesandreal-timedecisionsystems.
• AWS Certifications(DeveloperAssociate,MachineLearningSpecialty)area plus.
• Exposure to data versioning tools(e.g.,DVC),featurestores,or vector databasesis advantageous.

Working at TransnationalAI PrivateLimited

• Joinamission-driventeamdeliveringreal-worldimpactthroughAIandautomation.
• Collaborate with architects, ML engineers, data scientists and productmanagers.

Experience aflathierarchy, innovation-friendly environment, and rapid career advancement