AI Solution Engineer

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CloudZenia is seeking a mid-level AI Solutions Engineer with expertise in building and deploying GenAI and ML solutions on the AWS ecosystem. You’ll work closely with customers and cross-functional teams to deliver high-impact, scalable AI/ML applications that solve real-world business challenges.

Key Responsibilities :-

• Design and implement AI/ML solutions tailored to complex customer challenges.
• Translate complex customer challenges into optimized Al/ML solutions.
• Build and deploy Agentic Al systems and RAG-powered applications.
• Develop and optimize pipelines using Python, PyTorch, TensorFlow, LangChain.
• Architect and deploy solutions using AWS GenAI & ML services (Bedrock, SageMaker, Kendra, Lex, Lambda, S3, etc.).
• Implement MLOps best practices: CI/CD for ML, monitoring, retraining, and scaling.
• Work with structured and unstructured data, including text, images, and embeddings.
• Collaborate with customers, architects, and product managers to ensure clear communication and measurable impact.
• Balance performance, cost, and security in every solution.

Requirements :-

• 02–05 years of experience in AI/ML development,

  with at least 2 years in GenAI applications.

• Strong programming skills in Python and experience with ML frameworks.
• Hands-on experience with

  Agentic AI

  , vector databases (Pinecone, Weaviate, FAISS, OpenSearch), and RAG architectures.
• Familiarity with

  prompt engineering

  ,

  fine-tuning, and evaluation of LLMs.

• Knowledge of

  MLOps practices, version control, and deployment workflows.

• Experience with

  AWS GenAI

  and

  ML services; cloud-native

  architecture knowledge is a plus.
• Excellent problem-solving and communication skills.

Awareness of data security,