Quantum Health

Senior AI Software Engineer

Quantum Health

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSAzureCloudDynamoDBGoogle Cloud PlatformJavaJavaScriptKafkaMicroservicesMongoDBMySQLNode.jsNoSQLPostgresPythonPyTorchReactSDLCSparkTensorflow

About the role

  • Lead the design, development, and deployment of AI-driven solutions, ensuring alignment with business objectives and scalability requirements.
  • Drive the adoption of cutting-edge AI technologies, including Large Language Models (LLMs), deep learning, and reinforcement learning.
  • Architect end-to-end AI pipelines, integrating data engineering, model training, evaluation, and deployment in cloud and hybrid environments.
  • Provide strategic guidance on AI/ML adoption, balancing innovation with business feasibility.
  • Design and implement advanced AI models tailored to complex business challenges, ensuring accuracy, efficiency, and maintainability.
  • Lead research and development efforts to enhance model performance, interpretability, and deployment efficiency.
  • Collaborate with data teams to establish robust data strategies, including feature engineering, augmentation, and governance.
  • Evaluate and introduce new AI/ML frameworks, ensuring continuous improvement and optimization of existing models.
  • Serve as a technical leader, mentoring and guiding junior and mid-level engineers in AI/ML best practices, software engineering principles, and career growth.
  • Set coding standards, design guidelines, and best practices for AI development and deployment.
  • Lead technical discussions, providing insights on AI trends and guiding architectural decisions.
  • Collaborate with leadership to influence strategic AI investments and roadmap planning.
  • Oversee the development of scalable back-end services in Python, Java, or Node.js, ensuring high availability and performance for AI applications.
  • Lead the development of AI-driven front-end solutions using React, focusing on creating intuitive user experiences powered by intelligent insights.
  • Champion the implementation of microservices and event-driven architectures to enhance the AI platform’s modularity and scalability.
  • Ensure software development follows best practices, including design patterns, automated testing, and continuous delivery.
  • Lead the design and optimization of cloud-native AI solutions using AWS, Azure, or GCP, ensuring scalability, security, and cost-effectiveness.
  • Architect and implement MLOps pipelines for automated model training, validation, deployment, and monitoring.
  • Evaluate and optimize infrastructure costs, implementing serverless, containerized, and distributed computing solutions as needed.
  • Collaborate with DevOps teams to ensure seamless integration of AI workflows into CI/CD pipelines.
  • Ensure AI solutions adhere to regulatory compliance and organizational security policies.
  • Implement responsible AI practices, focusing on fairness, bias mitigation, and explainability.
  • Conduct AI security risk assessments and proactively address potential vulnerabilities.
  • Advocate for ethical AI development, ensuring transparency and accountability in AI-driven decisions.
  • Act as a key liaison between engineering, product, and business teams to drive AI initiatives that align with organizational goals.
  • Translate complex technical concepts into actionable insights for non-technical stakeholders.
  • Lead AI-driven innovation projects, contributing to long-term strategic initiatives.
  • Present AI solutions and strategies to leadership and key stakeholders, demonstrating business value and technical feasibility.
  • Stay at the forefront of AI advancements, continuously exploring new methodologies and emerging technologies.
  • Represent the company in AI conferences, webinars, and industry panels to build brand credibility.
  • Foster a culture of innovation by initiating AI hackathons, workshops, and training programs within the organization.
  • Drive internal initiatives to explore potential new AI product offerings and capabilities.
  • Other duties as assigned

Requirements

  • 7+ years of experience in software development, with a strong focus on AI/ML projects, including designing, deploying, and optimizing AI-driven solutions.
  • Hands-on expertise in AI/ML models, including Large Language Models (LLMs), Natural Language Processing (NLP), deep learning, and reinforcement learning.
  • Proficiency in programming languages, particularly Python, Java, or Node.js, and experience with AI/ML frameworks such as TensorFlow, PyTorch , or similar.
  • Advanced knowledge of cloud platforms like AWS, Azure, or GCP, including hands-on experience with services like SageMaker, Lambda, API Gateway, and other cloud-native AI solutions.
  • Experience with distributed computing systems, such as Spark and Kafka, for handling large-scale data pipelines and/or AI workflows.
  • Strong knowledge of database systems, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB), for data storage and processing in AI systems.
  • Experience with MLOps pipelines, including automating model training, validation, deployment, and monitoring.
  • Full-stack development experience, with a strong understanding of back end (Python, Node.js) and front-end (React) development, including building APIs and creating intuitive user interfaces.
  • Proven leadership and mentorship skills, with the ability to guide junior and mid-level engineers in AI/ML best practices, coding standards, and architectural decisions.
  • Strong understanding of security and compliance practices, including implementing responsible AI practices and ensuring compliance.
  • Experience in the healthcare industry is preferred, with familiarity in building compliant, secure AI solutions.
  • Track record of success in all stages of the SDLC, including planning, execution, testing, and deployment of AI-driven applications.
  • Strong collaborative and communication skills, with experience working as a liaison between engineering teams, product managers, and stakeholders.
  • Demonstrated ability to architect end-to-end AI or Data pipelines, integrating data engineering, model training, evaluation, and deployment for cloud and hybrid environments.
  • Familiarity with agentic frameworks and AI technologies, with the ability to explore and implement new AI-driven solutions is a plus.
  • Protect and take care of our company and member’s data every day by committing to work within our company ethics and policies.
  • Strong administrative/technical skills; Comfort working on a PC using Microsoft Office (Outlook, Word, Excel, PowerPoint), IM/video conferencing (Teams & Zoom), and telephones efficiently.
  • A high degree of personal accountability and trustworthiness, a commitment to working within Quantum Health’s policies, values and ethics, and to protecting the sensitive data entrusted to us.