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 modern 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.