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.