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Urgent! Healthcare AI Solution Architect Job Opening In Noida – Now Hiring Coforge

Healthcare AI Solution Architect



Job description

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.


Required Skill Profession

Computer Occupations



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