Job Description

Key Responsibilities :

- Design end-to-end AI/ML and Generative AI architectures.
- Define technical solutions for scalable and secure AI applications.
- Work with LLMs, RAG, prompt engineering, embeddings, and vector databases.
- Develop and integrate AI solutions using Python and up-to-date AI/ML frameworks.
- Design cloud-based AI solutions using AWS/Azure/GCP.
- Collaborate with data scientists, ML engineers, developers, and business teams.
- Establish best practices for model deployment, monitoring, security, and scalability.
- Evaluate emerging AI technologies and recommend suitable solutions.
- Provide technical leadership and participate in architecture/design reviews.

Required Skills

- 7+ years of experience in AI/ML, software engineering, or related technology roles.
- Strong expertise in AI/ML architecture and solution design.
- Hands-on experience with Python, Machine Learning, Deep Learning, and Generative AI.
- Strong understanding of LLMs, RAG,



Prompt Engineering, Embeddings, and Vector Databases.
- Experience with frameworks such as LangChain, LlamaIndex, TensorFlow, PyTorch, or similar.
- Strong experience with at least one cloud platform: AWS, Azure, or GCP.
- Knowledge of MLOps, CI/CD, Docker, Kubernetes, and model deployment.
- Understanding of AI security, governance, scalability, and performance optimization.
- Strong communication, problem-solving, and technical leadership skills.

Preferred Skills

- Experience with OpenAI, Azure OpenAI, AWS Bedrock, or similar GenAI platforms.
- Experience designing enterprise-grade GenAI applications.
- Knowledge of Agentic AI and AI agents.
- Experience with APIs, microservices, and event-driven architectures.
- Cloud/AI certifications are an added advantage.

(ref:hirist.tech)

📌 AI CoE Lead (Secunderabad)
🏢 Information Technology
📍 Secunderabad