Senior AI/ML Engineer at UnitedHealth Group Canada

, , -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Google Cloud Platform, Dialogflow CX, Vertex AI, Python, Large Language Models, Agentic AI, Google AI Development Kit, Conversational AI, MLOps, CI/CD Pipelines, Docker, Kubernetes, NLP, Solution Architecture

Industry

Hospitals and Health Care

Description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a Senior AI Engineer who will operate as an individual contributor while demonstrating leadership capabilities in driving AI initiatives. The ideal candidate will have deep expertise in machine learning (ML), deep learning (DL), and deploying solutions on Google Cloud Platform (GCP). Experience with Dialogflow CX, Vertex AI, Python, LLMs, Agentic AI systems, and Google’s AI Development Kit (ADK) is essential. A solid GitHub presence showcasing real-world projects is highly valued. Primary Responsibilities: Design, develop, and deploy ML/DL models using Vertex AI, Python, and GCP-native tools Build and optimize conversational AI agents using Dialogflow CX, integrating with APIs and backend systems Develop and fine-tune Large Language Models (LLMs) for various NLP tasks, including summarization, classification, and question answering Implement Agentic AI systems that can autonomously plan, reason, and execute tasks using LLMs and orchestration frameworks Leverage Google ADK to build, test, and deploy scalable AI applications aligned with GCP best practices Integrate and experiment with Agentic AI frameworks to enhance autonomous decision-making and task execution capabilities Lead by example in technical design, code quality, and solution architecture, mentoring junior engineers informally Collaborate cross-functionally with engineering and product teams to translate business needs into scalable AI solutions Maintain and showcase code and projects on GitHub, ensuring reproducibility and collaboration Monitor model performance, conduct A/B testing, and iterate based on feedback and metrics Automate ML workflows using CI/CD pipelines, Docker, Kubernetes, and MLOps best practices Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Graduate degree or equivalent experience BTECH/BE Experience in Google Dialogflow,Vertex AI Building AI solutions in Conversational AI At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

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Responsibilities

The Senior AI Engineer will design, develop, and deploy machine learning and deep learning models using Google Cloud Platform tools. They will also build and optimize conversational AI agents and lead technical design and solution architecture efforts.