AI Architect

Recruise India Consulting; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Recruise India Consulting is seeking a senior AI architect for healthcare to lead design of AI systems that support clinical decision-making, health management, and analytics. The role requires 13+ years in software/AI and 5+ years in AI/ML architecture, with strong Python, ML frameworks, and cloud experience.

You will drive scalable, secure AI architectures in healthcare, address bias and explainability, and collaborate with diverse teams to govern AI initiatives.

Qualifications

• 5+ years in healthcare AI with understanding of workflows, terminologies, and interoperability standards.
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Responsibilities

Skills

Healthcare AI

AI system design

Predictive analytics

Data engineering

Python

SQL

TensorFlow

PyTorch

Scikit-learn

MLflow

SageMaker

AWS

Azure

Data governance

Bias explainability

Tools

TensorFlow

PyTorch

Scikit-learn

MLflow

SageMaker

AWS

Azure

Job description

• 5+ years of experience in healthcare AI, with a strong understanding of workflows, medical terminologies, and healthcare interoperability standards


• Proven ability to design AI systems that support decision-making, predictive analytics, health management, etc


• Technical Proficiency:


• 13+ years in software engineering, data science, or AI, with 5+ years in AI/ML architecture roles.


• Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision applied to healthcare.


• Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.


• Experience with cloud platforms (AWS, Azure) and MLOps tools (MLflow, SageMaker).


• Strong understanding of data engineering pipelines, ETL processes, and real-time data streaming


• Architectural & Strategic Experience:


• Demonstrated success in designing scalable, secure, and high-availability AI architectures in healthcare settings.


• Experience with model lifecycle management, including monitoring, retraining, and drift detection in clinical environments.


• Ability to assess and mitigate bias, fairness, and explainability issues in AI models.


• Familiarity with enterprise architecture frameworks and AI governance models.

Preferred Behavioral Skills

• Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed


• Strong teamwork, problem-solving, and analytical skills


• Strong understanding of Pharma Quality Standards and Practices


• Proven leadership in cross-functional teams, including business teams, data scientists, and IT professionals.


• Strong communication skills to convey complex AI concepts to non-technical stakeholders, including healthcare executives and regulatory bodies.


• Experience in strategic planning, vendor evaluation, and AI capability building within healthcare organizations