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Urgent! Healthcare AI Solution Architect Job Opening In New Delhi – 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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