Your key responsibilities

- Design and implement AI/Gen AI applications, systems, and infrastructure across major clouds (Azure, AWS and GCP)
- Collaborate with data engineers & build AI/ML models.
- Collaborate with clients & stakeholders to translate business and functional requirements into robust, scalable, operable solutions.
- Participate in architectural decisions, contribute to the development of architectures for industry-wide use cases, and design architectures for AI/ML and Generative AI
- Set the standards for engineering best practices.
- Identify opportunities where generative AI can provide value and solve business problems.
- Responsible for creating POCs and POVs across horizontals and industry use cases.
- Write high-quality, productive, testable code in Python and other languages.
- Stay up to date with the latest AI trends and evaluate state-of-the-art AI technologies/framework to drive innovation.
- Facilitate design and architecture workshops and mentor AI engineers in coding best practices and problem-solving.

Skills and Attributes

Professional Experience

- A minimum of 5-8 years in building and deploying AI and Gen AI solutions on-premises or on cloud platforms.

Preferred / GoodtoHave Skills





- Hand-on experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS and/or Google Cloud.
- Experience in using and orchestration LLM models on cloud platforms i.e., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI
- Experience in Agentic frameworks building and deploying (e.g. Semantic Kernel, CrewAI, LangGraph etc.)
- Experience in writing SQL and data modelling.
- Experience in designing and implementation of AI solution using microservice based architecture.
- Understanding of machine learning, deep learning, NLP and GenAI.
- Strong programming skills in Python and/or pyspark.
- Proven experience in integrating authentication security measures within machine learning operations and applications.
- Excellent problem-solving skills and ability to connect AI capabilities to business value.
- Strong communication and presentation skills.
- Proven experience in AI/ML solution deployment process on Kubernetes, Web Apps, Databricks or on similar platforms.
- Familiarity with MLOps concepts and tech stack. Good to know code versioning, MLFlow, batch prediction and real-time end point workflows.
- Familiarity with Azure DevOps / GitHub actions/ Jenkins / Terraform / AWS CFT etc.
- Familiarity with Responsible AI concepts

📌 GEN AI Engineer (Hyderabad)
🏢 EY
📍 Hyderabad