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Location: Hyderabad

Mode: Work from Office

Experience: 8+ years (with 3+ years in AI/ML solution design)

Job Type: Full-time

About the Role

We are looking for an experienced AI Application Architect to lead the design and integration of AI/ML capabilities into enterprise applications. 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

  • Experience with multi-agent systems, LangChain, Autogen, or Agentic AI frameworks.
  • Familiarity with data governance, model drift detection, and performance monitoring.
  • Prior experience in industries such as BFSI, Retail, Healthcare, or Manufacturing.
Education

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Certifications in AI/ML, cloud (AWS/GCP/Azure), or MLOps are a plus.