Solutions Architect - AI & Platforms
Actively Reviewing the ApplicationsKnowledgeWorks Global Ltd.
India, Maharashtra, Mumbai
Full-Time
On-site
Posted 2 weeks ago
•
Apply by June 4, 2026
Job Description
Skills & Requirements
- Minimum 10+ years of experience in software engineering, system architecture, or platform engineering and minimum 1+ years of experience in AI solutioning.
- Proven hands-on experience in developing and productionizing AI based solution.
- Strong foundation in Machine Learning, LLMs, and modern AI architectures.
- Solid experience in system design and architecture trade-offs (performance, scalability, cost, reliability).
- Hands-on experience with microservices architecture, API design, and event-driven systems.
- Familiarity with data architecture and data pipelines using tools such as Apache Spark, Airflow, Prefect, Dagster, or Kafka-based pipelines will be added advantage.
- Familiarity with model serving and inference frameworks such as Ollama/TensorFlow Serving/ Triton Inference Server/vLLM.
- Familiarity with MLOps / LLMOps practices, including model deployment, monitoring, and lifecycle management, including tools such as MLflow, Kubeflow, Weights & Biases.
- Strong programming experience in Python (preferred) or Java, Node.js, or C#.
- Strong foundation in containerization and exposure to deployment of containerized application on production environment
- Experience with vector databases and semantic search systems such as Pinecone, Weaviate, Milvus, Qdrant, Chroma, or Elasticsearch/OpenSearch will be an added advantage.
- Strong understanding of DevOps practices, CI/CD pipelines, and code review workflows using tools such as Git, GitHub/GitLab, Jenkins, GitHub Actions, or ArgoCD.
- Any exposure to AI evaluation frameworks, guardrails, and model monitoring will be added advantage
Required Skills
Machine Learning
Engineering
Git
Monitoring
Python
Apache Spark
Jenkins
GitHub
GitLab
CI/CD Pipelines
Spark
Kafka
TensorFlow
MLOps
Microservices Architecture
Elasticsearch
GitHub Actions
MLflow
Kubeflow
Airflow
DevOps
CI/CD
Apache
System Design
Data architecture
Server
Software engineering
System architecture
API Design
Vector
Lifecycle Management
Semantic
Node
Guardrails
Pinecone
ArgoCD
Chroma
Data pipelines
Event-driven
Platform Engineering
Semantic search
Model monitoring
LLMOps
OpenSearch
Inference Server
Inference
Node.js
Java
LLMs
Model Deployment
Triton
Trade
Weaviate
Code review
Production environment
System Design and Architecture
Ollama
Milvus
Triton Inference Server
Vector Databases
vLLM
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