Qylis Technologies - AI Application Architect

About the Role :

You will architect intelligent, scalable, and reliable AI solutions that align with business goals and technical strategy.

Key Responsibilities :

- Design and lead architecture for AI/ML-based applications and products.

- Define integration patterns between AI models and enterprise applications (web/mobile/cloud).

- Collaborate with data scientists, ML engineers, and application developers to ensure seamless end-to-end solutions.

- Select and implement appropriate AI frameworks, APIs, LLMs, and infrastructure tools.

- Drive architecture decisions involving GenAI, NLP, CV, predictive analytics, and agentic AI systems.

- Establish MLOps pipelines for training, testing, and deploying models at scale.

- Ensure compliance with AI ethics, privacy laws, and data governance policies.

- Evaluate emerging technologies, tools, and platforms for enterprise use.

- Act as a technical advisor to leadership on AI opportunities and risks.

Required Skills :

- Strong experience in AI/ML architecture and solution design.

- Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).

- Experience with LLMs and generative AI (OpenAI, Azure OpenAI, LangChain, Hugging Face).

- Strong programming background in Python (FastAPI, Flask), and familiarity with Java/Node.js.

- Experience in cloud platforms (AWS/GCP/Azure) and ML toolkits (SageMaker, Azure ML, Vertex AI).

- Good understanding of microservices, REST APIs, GraphQL, and event-driven architecture.

- Knowledge of vector databases like Pinecone, FAISS, Chroma, or Weaviate.

- Proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools.

Preferred Qualifications :

- Familiarity with data governance, model drift detection, and performance monitoring.

- Prior experience in industries such as BFSI, Retail, Healthcare, or Manufacturing.

Education :

- Certifications in AI/ML, cloud (AWS/GCP/Azure), or MLOps are a plus.