AI/ML Engineer

This is a Fully Remote Job

About Our Client:

The organization operates within the healthcare data and information technology sector, focusing on improving the flow of health data to create a more connected healthcare system. It addresses challenges related to friction and misalignment between care providers, payers, and consumers. By leveraging industry expertise and innovative technology, the organization helps reduce costs and improve risk management, quality, and revenue growth.

About the Opportunity:

The AI/ML ENGINEER role is designed to develop and implement AI-driven solutions that enhance operational efficiency and drive measurable business outcomes. This position plays a key role in prototyping and scaling emerging AI technologies to support enterprise transformation. The engineer collaborates with multiple teams to identify and deliver high-value AI applications, establish engineering best practices, and evaluate new technologies to position the program for future digital operations.

Responsibilities:

• Design, develop, and deploy AI-powered solutions, digital workers, and intelligent automation capabilities
• Prototype, validate, and scale emerging AI technologies including Generative AI, Agentic AI, automation, orchestration, and analytics
• Collaborate with business, architecture, engineering, and operations teams to translate use cases into production-ready AI solutions
• Establish AI engineering best practices, governance standards, and responsible AI controls
• Evaluate disruptive technologies and lead innovation pilots to build strategic digital capabilities

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related technical field
• Minimum 5 years of software engineering experience including developing APIs, microservices, cloud-native architectures, CI/CD pipelines, DevSecOps, and observability
• Minimum 5 years experience in agile and lean coding methodologies
• At least 3 years experience with Python-based AI solutions, including generative AI, agentic AI, LLMs, vector databases, embeddings, semantic search, and knowledge retrieval
• Minimum 2 years integrating AI solutions with enterprise platforms, workflows, data platforms, and operational systems
• Strong communication skills for cross-functional collaboration

Preferred Qualifications:

• Familiarity with MLOps tools for monitoring prediction accuracy, detecting feature drift, and assessing model performance

Pay Range and Compensation Package:

• Salary ranges from $72,800 to $130,000 annually based on experience and other factors
• Comprehensive benefits package including incentive programs, equity stock purchase, and 401(k) contributions, subject to eligibility

Benefits & Perks:

• 401(k)

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.