Healthcare AI Solution Architect

2 days ago

Noida Uttar Pradesh India, Ghaziabad Coforge Full time

Title - Healthcare AI Solution Architect

Experience - 15+ years

Location - Greater Noida, 5 days work from office


We are looking for a seasoned Healthcare AI Solution Architect with over 15 years of industry experience, including 8+ years in AI/ML and at least 3 years in the US health insurance/payer domain. The ideal candidate will lead the design, implementation, optimization, and governance of AI/ML solutions tailored to healthcare and payer use cases, ensuring compliance with HIPAA and other relevant regulations. This is a strategic role requiring deep technical expertise, domain knowledge, and leadership capabilities.


Key Responsibilities:


  • Architect and deliver end-to-end AI/ML solutions for healthcare and payer use cases.
  • Apply MLOps methodologies to streamline model lifecycle management.
  • Leverage Cognitive AI techniques including NLP, Computer Vision, Speech, and Conversational AI.
  • Develop and implement Document AI and Generative AI solutions, including custom LLMs.
  • Ensure seamless integration of AI solutions into cloud platforms (AWS, Azure, GCP).
  • Maintain robustness, scalability, and reliability of production-grade ML systems.
  • Provide technical leadership and mentorship to AI/ML teams.
  • Collaborate with cross-functional teams to transition prototypes into scalable products.
  • Prepare comprehensive documentation for architecture, design, and implementation.


Mandatory Skills & Qualifications:


  • 8+ years in AI/ML, with 3+ years in healthcare/payer AI.
  • Proven expertise in AI, ML, MLOps, Text Analytics, Generative AI.
  • Strong programming skills in Python and Java.
  • Experience with ML frameworks: TensorFlow, PyTorch, Keras, Scikit-learn.
  • Hands-on with cloud platforms: AWS, Azure, GCP.
  • Proficient in ML architectures: Ensemble Models, SVM, CNN, RNN, Transformers.
  • NLP tools: NLTK, SpaCy, Gensim.
  • MLOps tools: Kubeflow, MLflow, Azure ML.
  • Experience in Responsible AI, LangChain, and Vector Databases.
  • Workflow tools: Airflow.
  • Microservices architecture and API development using FastAPI, Flask, Django.
  • Database expertise: SQL, NoSQL (MongoDB, Postgres, Neo4j).


Desirable Skills:

  • Degree in Statistics, Mathematics, Computer Science, or related field (Bachelor’s/Master’s/PhD).
  • Experience with statistical and data mining techniques: GLM, Regression, Random Forest, Boosting, etc.
  • Advanced ML algorithms: clustering, decision trees, neural networks, simulation, scenario analysis.
  • Experience with R, Python for statistical computing.
  • Contributions to open-source AI/ML projects or published research.
  • Data visualization tools: Matplotlib, ggplot.
  • Exposure to Big Data platforms: Hadoop, Spark, Kafka.
  • Strong problem-solving, collaboration, and communication skills.
  • Architect-level certifications are a plus.

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