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Solution Architect
Us healthcare company
Solution Architect
Us healthcare company's logo

Solution Architect

at Us healthcare company

Agency job
11 - 20 yrs
₹50L - ₹60L / yr
Hyderabad, Chennai
Skills
Generative AI
skill iconPython
TensorFlow
Google Cloud Platform (GCP)
POC

Job Title: AI Solutioning Architect – Healthcare IT

Role Summary:

The AI Solutioning Architect leads the design and implementation of AI-driven solutions across the organization, ensuring alignment with business goals and healthcare IT standards. This role defines the AI/ML architecture, guides technical execution, and fosters innovation using platforms like Google Cloud (GCP).

Key Responsibilities:

  • Architect scalable AI solutions from data ingestion to deployment.
  • Align AI initiatives with business objectives and regulatory requirements (HIPAA).
  • Collaborate with cross-functional teams to deliver AI projects.
  • Lead POCs, evaluate AI tools/platforms, and promote GCP adoption.
  • Mentor technical teams and ensure best practices in MLOps.
  • Communicate complex concepts to diverse stakeholders.

Qualifications:

  • Bachelor’s/Master’s in Computer Science or related field.
  • 12+ years in software development/architecture with strong AI/ML focus.
  • Experience in healthcare IT and compliance (HIPAA).
  • Proficient in Python/Java and ML frameworks (TensorFlow, PyTorch).
  • Hands-on with GCP (preferred) or other cloud platforms.
  • Strong leadership, problem-solving, and communication skills.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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