- Define guidelines and benchmarks for non-functional requirements (NFRs).

- Develop and review comprehensive design documents outlining overall architecture, framework, and high-level design.

- Review architecture and design for extensibility, scalability, security, design patterns, user experience, NFRs, and adherence to best practices.

- Design end-to-end AI solutions encompassing functional and non-functional requirements, defining technologies, patterns, and frameworks.

- Understand and apply technology integration scenarios in AI/ML deployments.

- Design, develop, and deploy AI agents for autonomous/semi-autonomous decision-making and agent orchestration.

Required Skills & Experience :

- 11+ years of experience in AI/ML.

- Extensive experience delivering impactful solutions in NLP, machine vision, and AI.

- Expertise in AI/ML solution design: translating business needs into AI approaches (LLM vs. classical ML), defining success metrics, evaluation plans, and end-to-end architecture.

- Proven experience in AI/ML architecture design and implementation using cloud infrastructure and big data technologies.

- Proficiency in Python, Dotnet, JAVA, and data manipulation libraries (Pandas, NumPy).

- Experience in cloud deployment, scalable inference, GPU basics, cost/latency tradeoffs, security/privacy, access control, and compliant data handling.

- Experience in large-scale system design, API-first design, front-end & back-end programming, and team mentorship.

- Experience with SQL, MySQL, and Oracle databases.

- Solid understanding of MLOps and deployment experience using technologies such as MLflow, Kubeflow, Docker, Kubernetes, and model deployment pipelines.

- Strong understanding of LLMs and foundation models, with expertise in prompt engineering and templates.

- Practical experience with Generative AI frameworks such as GANs, VAEs, and retrieval-augmented generation (RAG).

- Excellent problem-solving skills with a creative and analytical mindset.

- Strong communication and teamwork skills.

- Experience with AI ethics and responsible AI practices.