Description Company Overview: Zing Health is a tech-enabled health insurance company making Medicare Advantage the best it can be for those 65-and-over. Zing Health has a community-based approach that recognizes the importance of the social determinants of health in keeping individuals and communities healthy. Zing Health aims to return the physician and the member to the center of the health care equation. Members receive individualized assistance to make their transition to Zing Health as easy as possible. Zing Health offers members the ability to personalize their plans, access to facilities designed to help them better meet their healthcare needs, and a dedicated care team. For more information on Zing Health, visit www.myzinghealth.com. Our technology organization is investing in modern digital and AI capabilities to improve member experience, strengthen provider operations, and increase enterprise efficiency. SUMMARY DESCRIPTION: Zing Health is seeking an AI Engineer to help implement AI-powered solutions across our enterprise technology platform. This is a hands-on engineering role focused on building AI-enabled applications and integrating AI services into existing systems. You will work closely with the AI & Automation team and engineering teams to build and support AI use cases using Azure AI services, APIs, and enterprise data platforms. This role focuses on practical AI implementation rather than research or model development. This is a great opportunity for an engineer interested in working with AI, automation, and modern cloud technologies in a healthcare environment. ESSENTIAL FUNCTIONS: Build AI-enabled applications - Develop applications that leverage Azure OpenAI and Azure AI services - Implement LLM-based workflows such as prompting, document analysis, and conversational experiences - Support AI use cases such as document processing, automation, and intelligent workflow support - Build integrations between AI services and enterprise platforms such as Salesforce, Genesys, and internal applications - Work with APIs and services to enable AI-driven capabilities - Implement workflows using tools such as Azure Functions, Logic Apps, or Power Automate - Support AI-powered automation initiatives across operations and member/provider services - Connect AI services with internal data sources including data warehouses, APIs, and operational platforms - Assist with processing structured and unstructured data for AI use cases - Partner with engineering, security, and data teams to deploy AI solutions - Participate in testing, monitoring, and improvement of AI solutions in production Requirements Required Qualifications - 3–5 years’ experience in software engineering, cloud engineering, or application development - Experience working with cloud platforms such as Microsoft Azure - Experience building or integrating REST APIs - Familiarity with Python, JavaScript, or similar programming languages - Interest in working with AI technologies and automation tools Preferred Qualifications (Nice-to-Haves) - Exposure to Azure OpenAI, Azure AI services, or similar AI platforms - Familiarity with LLM concepts such as prompt engineering or retrieval-based workflows - Experience with automation tools such as Logic Apps or Power Automate - Exposure to enterprise systems such as Salesforce or CRM platforms - Basic understanding of data platforms or SQL - Interest in healthcare technology or regulated environments Zing Health offers the following benefits: - A competitive salary based on the market - Medical, Dental, and Vision - Employer-Paid Life Insurance - Paid Maternal Leave - Paid Paternal Leave - 401(K) match up to 4% - Paid-Time-Off - Employee Assistance Programs - Several supplemental benefits are available, including, but not limited to, Spouse Insurance, Pet Insurance, Critical Illness coverage, ID Protection, etc.

• Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering. • Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. • Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI). • Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis. • Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI. • Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics. • Design and optimize ETL pipelines for data quality management, transformation, and validation. • Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization. • Create interactive data visualizations using Tableau and Power BI to drive business insights. • Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying models for conversational AI, text generation, and summarization. • Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time.

• Serve as the primary AI engineering partner to the CEO and executive leadership team, translating ideas, strategic questions, and emerging concepts into production-ready AI agents and workflows with minimal oversight. • Independently take ideas from concept to production, shaping problem statements, designing system architecture, implementing code, validating outputs, and operationalizing solutions without requiring heavy product or engineering management. • Design and implement complex, multi-step agentic workflows, including multi-agent orchestration, retrieval-augmented generation (RAG), tool use, memory strategies, evaluation frameworks, and cross-system automation. • Develop production-grade AI systems using modern LLMs, orchestration frameworks, and internal tooling, with strong attention to scalability, performance, observability, and clean engineering practices. • Operationalize AI responsibly by implementing guardrails, structured evaluations, monitoring, and validation layers to ensure predictable behavior, reliability, and compliance. • Partner closely with Security and Legal to properly gate sensitive use cases, implementing access controls, audit logging, data minimization, and enterprise-grade governance patterns while balancing safety and speed. • Translate ambiguous, high-visibility problems into clear technical solutions, balancing speed, quality, and risk while maintaining a high bar for accuracy and trust. • Evaluate, select, and rationalize AI tools and platforms, contributing to capability-to-tool decisions and ensuring consolidation, security alignment, and long-term sustainability across the enterprise. • Support post-launch adoption and iteration, incorporating feedback, refining workflows, and continuously improving performance, usability, and measurable impact. • Contribute to org-wide AI maturity by documenting architectural patterns, sharing best practices, and establishing repeatable approaches that elevate internal AI capabilities across Webflow.

Agentic AI Architect Why Us NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value. We #GoBeyondWorkflows to create new kinds of experiences for our customers. Come join our Crew! The Role We are hiring an AI/ML Architect to join our team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications. We are #GoingBeyond Come join our crew! What You Will Be Doing - Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering. - Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI). - Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis. - Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI. - Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics. - Design and optimize ETL pipelines for data quality management, transformation, and validation. - Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization. - Create interactive data visualizations using Tableau and Power BI to drive business insights. - Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization. - Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time. May perform additional duties as assigned. What You Bring Along - 7+ years of experience applying AI to practical uses. - Strong coding expertise in Python & SQL, with ML frameworks (TensorFlow, PyTorch, Scikit-learn). - Deep knowledge of algorithms, OOP, and functional design principles. - Proficiency with Pandas, NumPy, Matplotlib, and Seaborn. - Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud. - Experience with big data processing using Apache Spark and Snowflake. - NLP expertise with Hugging Face and cloud AI services - Strong understanding of database management, query optimization, and data warehousing. - Experience with data visualization tools such as Tableau and Power BI. - Ability to work in a collaborative environment and adapt to new AI technologies. - Strong analytical and problem solving skills. Education: - Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field. We Take Care of Our People NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.