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AIML Solution Architect @ Thryve Digital

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 AIML Solution Architect

Job Description

Role & responsibilities

  • Lead the technical solutioning process for all AI-related projects, ensuring alignment with business objectives, architectural standards, and the overall AI/ML strategy.
  • Define and maintain the architectural vision and roadmap for AI solutions, incorporating best practices, emerging technologies, and the evolving needs of the Healthcare IT domain.
  • Design end-to-end AI solutions, including data ingestion, processing, model development, deployment, and monitoring, with a focus on scalability, reliability, and security.
  • Work closely with business stakeholders to understand requirements and translate them into technical specifications, while also contributing to the overall strategic direction of AI initiatives.
  • Collaborate with data scientists, engineers, and other technical experts to ensure successful project execution, providing technical guidance and mentorship throughout the development lifecycle.
  • Develop and maintain comprehensive documentation of AI solutions, including architecture diagrams, design specifications, and implementation guidelines, to facilitate knowledge sharing and collaboration.
  • Evaluate and recommend AI technologies, platforms, and tools to support the organization's AI initiatives, with a focus on leveraging Google Cloud Platform (GCP) services where appropriate.
  • Provide technical guidance and mentorship to project teams, fostering a culture of innovation, excellence, and continuous improvement.
  • Lead proof-of-concept (POC) projects to validate the feasibility and value of proposed AI solutions, ensuring that they align with the organization's strategic goals.
  • Ensure that AI solutions are scalable, secure, and compliant with relevant regulations and standards, including HIPAA and other Healthcare IT requirements.
  • Stay abreast of the latest trends and advancements in AI and related fields, and proactively identify opportunities for innovation and competitive advantage.
  • Work with US and Thryve leaders to provide project status, risk assessment, and strategic recommendations, ensuring that stakeholders are informed and aligned on project goals and timelines.
  • Effectively communicate complex technical concepts to both technical and non-technical audiences, fostering collaboration and alignment across the organization.

Preferred candidate profile


  • Bachelor's or masters degree in computer science, Artificial Intelligence, or a related field.
  • 12+ years of experience in software development or architecture, with a significant focus on AI and machine learning.
  • Deep understanding of AI/ML concepts and techniques, including supervised, unsupervised, and reinforcement learning, as well as experience with various AI algorithms and models.
  • Hands-on experience with cloud computing platforms (e.g., AWS, Azure, GCP), with a strong preference for experience with Google Cloud Platform (GCP) and its AI-related services.
  • Proven experience in designing and implementing scalable and robust AI solutions within the Healthcare IT domain.
  • Strong programming skills in languages such as Python, Java, or Scala, as well as experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences.
  • Proven ability to lead technical discussions and influence decision-making, with a demonstrated track record of successfully driving AI initiatives within an organization.
  • Experience in working with cross-functional teams and stakeholders, with a strong ability to collaborate and build consensus.
  • Strong analytical and problem-solving skills, with a demonstrated ability to identify and address complex technical challenges.
  • Knowledge of healthcare industry standards and regulations (e.g., HIPAA) is required, as well as a strong understanding of the Healthcare IT landscape.
  • Experience with MLOps practices and tools, with a focus on automating and streamlining the AI development and deployment lifecycle.
  • Strong leadership skills, with the ability to provide technical guidance and mentorship to project teams.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time

Contact Details:

Company: Thryve Digital
Location(s): Hyderabad

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Keyskills:   Aiml Tensorflow Pytorch Solution architect Healthcare Domain GCP Machine Learning Scikit-Learn Python

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Thryve Digital

https://www.thryvedigital.com/