Role Overview:

We are looking for a Senior AI Engineer with strong experience in designing, developing, and deploying scalable AI solutions. The ideal candidate will have expertise in AI/ML technologies, end-to-end solution development, cloud platforms, and healthcare data security. The role involves collaborating with cross-functional teams to deliver production-ready AI solutions aligned with business requirements.

Key Responsibilities:

- Design, develop, and implement end-to-end AI/ML solutions, covering data processing, model development, deployment, and monitoring.

- Translate business requirements into technical solutions aligned with project objectives and engineering standards.

- Build scalable, reliable, and secure AI applications using suitable AI technologies and cloud platforms.

- Evaluate and implement AI frameworks, tools, and emerging technologies to improve solution performance and efficiency.

- Develop and lead proof-of-concept (POC) initiatives and take successful solutions toward production deployment.

- Collaborate with data scientists, software engineers, and business stakeholders to deliver AI solutions.

- Provide technical guidance to team members and contribute to code reviews, design discussions, and best practices.

- Maintain technical documentation, including solution designs, architecture diagrams, and implementation guidelines.

- Ensure AI solutions meet security, privacy, and compliance requirements, including HIPAA and other relevant healthcare standards.

- Work closely with US-based stakeholders and Thryve leadership to communicate project progress, technical challenges, risks, and recommendations.

- Stay updated with advancements in AI/ML and identify opportunities to improve existing solutions.

Required Skills:

- 6 - 9 years of experience in software engineering, AI/ML engineering, or related technical roles.

- Strong hands-on experience in developing and deploying end-to-end AI/ML solutions.

- Good understanding of machine learning models, AI frameworks, data pipelines, and model lifecycle management.

- Experience with cloud platforms, preferably Google Cloud Platform (GCP).

- Knowledge of scalable application design, model deployment, monitoring, and performance optimization.

- Strong problem-solving, communication, and collaboration skills.

- Ability to work with cross-functional teams and translate business requirements into technical solutions.

Preferred Qualifications:

- Experience in Healthcare IT or healthcare-related AI projects.

- Knowledge of HIPAA, healthcare data privacy, and security requirements.

- Experience with Generative AI, LLMs, RAG, or other modern AI technologies.

- Experience working with US-based clients and distributed teams.