Agentic AI Engineer at Highmark Health Providence, RI

Company Highmark Health Providence, RI Job Summary This role would build intelligent systems that not only generate novel content and data but also exhibit autonomous decision-making and action-taking capabilities. This role requires a strong foundation in software engineering principles to effectively develop, integrate, and deploy these advanced AI solutions. By leveraging large language models and other generative techniques to create sophisticated AI agents capable of independent problem-solving and goal achievement, this role will be instrumental in developing cutting‑edge intelligent applications that will significantly enhance our operational efficiency and create novel product features. Responsibilities Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models) Architecting and building agentic systems with autonomous decision‑making capabilities Integrating generative AI and agentic solutions into existing products and services Developing and maintaining the software infrastructure required for AI/ML pipeline Developing and implementing data pipelines for training and evaluating AI models Collaboration, Documentation, Monitoring & Evaluation of AI Systems Conducting research and experimentation with new generative AI and agentic techniques Other duties as assigned or requested Required Experience 5 years' experience in Software Development experience (Python preferred) 3 years' experience working with large language models (LLMs) 3 years' experience in Building and deploying AI agent systems or similar autonomous systems 2 years' experience in Developing and deploying machine learning models in production Preferred Experience 2 years' Familiarity with Cloud Computing Platforms 1 year experience working with specific Agentic Frameworks (like LangChain, AutoGPT,Semantic Kernel, etc.) 1 year experience in Deploying AI models at scale in high-throughput, low-latency environments Skills Proficient in Python and relevant AI/ML libraries Significant experience in prompt engineering and fine tuning LLM models Knowledge and experience in different generative AI techniques and their applications Ability to design and implement agentic frameworks and architectures Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval‑augmented generation, Knowledge graphs) Familiarity with MLOps principles and tools for model deployment and monitoring Understanding of the security implications and mitigation strategies for generative AI and agentic systems Ability to stay up-to-date with the latest advancements in AI and generative models Strong problem‑solving and analytical skills Excellent communication and collaboration skills Required Education Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees. Preferred Education Master's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees Licenses / Certifications Required Certifications None Preferred Certifications Google Cloud Certification Travel Required Less than 25% Physical, Mental Demands & Working Conditions Position Type: Office-Based or Remote Position Physical work site required: Never Pay Range Minimum: $78,900.00 Maximum: $147,500.00 Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. #J-18808-Ljbffr