> Markdown version of [/jobs/ext/637896-ai-engineer-enterprise-agentic-solutions](https://www.wearedevelopers.com/jobs/ext/637896-ai-engineer-enterprise-agentic-solutions). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer, Enterprise Agentic Solutions - **Company:** Solventum Corporation - **Location:** Los Angeles County, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $142,800.0 - $196,350.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Quality, Computer Programming, Continuous Integration, Data Integration, Data Security, Python (Programming Language), Performance Tuning, Software Deployment, Software Engineering, Google Cloud, Fast Healthcare Interoperability Resources, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Containerization, Kubernetes, Information Technology, Health Level Seven International, Machine Learning Operations, Virtual Agents, Data Pipelines, Microservices - **Published:** June 25, 2026 - **Apply:** https://www.dice.com/job-detail/0a42f907-99d1-499a-a123-432c8ea90c5f ## About the Role * Bachelor's degree in Computer Science, Software Engineering, AI, or related field AND 8+ years of professional experience in software engineering and ML/AI development OR a Master's degree AND 6+ years of experience. * Deep, hands-on programming expertise in Python and extensive experience building backend systems and APIs. * Direct experience developing and deploying Agentic workflows and orchestration frameworks (e.g., AutoGen, LangChain) in production. * Strong practical understanding of Generative AI paradigms, prompt engineering, and LLM evaluation metrics. * Experience building ML infrastructure and deploying applications using cloud-native technologies (AWS, Azure, or Google Cloud Platform) Additional qualifications that could help you succeed even further in this role * Hands-on experience implementing Graph RAG and complex document parsing workflows. * Experience with healthcare data standards (e.g., FHIR) and secure data handling practices. * Strong background in system design patterns, microservices, and infrastructure as code. * Demonstrated ability to lead development pods and translate complex business requirements into technical deliverables., Must be legally authorized to work in a country of employment without sponsorship for employment visa status (e.g., H1B status). ## Description As a Senior AI Engineer, Enterprise Agentic Solution, you will serve as the premier technical authority driving the enterprise-wide architecture, engineering, and deployment of Agentic AI and Generative AI platforms. Operating at a highly senior level, your focus extends beyond data science and model training into the rigorous engineering of scalable, high-performance AI systems. You will architect robust, multi-agent frameworks that integrate seamlessly into mission-critical healthcare operations. Furthermore, you will act as a primary technical liaison, partnering directly with executive stakeholders and healthcare customers to translate complex business challenges into highly reliable, autonomous AI solutions., * Agent Development & Engineering: Build, test, and deploy autonomous, multi-agent systems using frameworks such as AutoGen and LangGraph. Implement the core logic for agent orchestration, tool utilization, and state management. * Advanced RAG & Data Integration: Engineer robust data ingestion pipelines capable of processing complex, multi-modal healthcare data. Implement advanced retrieval techniques, including Graph RAG, and develop solutions for high-accuracy document intelligence (e.g., page-by-page parsing of complex PDFs). * Performance Optimization & Evaluation: Design and execute prompt engineering strategies. Establish and monitor rigorous evaluation of metrics for LLM performance to ensure clinical safety, minimize hallucinations, and optimize inference latency in production environments. * Technical Execution & Collaboration: Partner with data scientists, product managers, and cloud engineers to transition AI models into high-concurrency production environments. Establish code quality standards, write comprehensive technical documentation, and mentor junior developers. * Operational Rigor: Build and maintain MLOps pipelines, ensuring secure containerization, CI/CD integration, and comprehensive system telemetry in adherence to healthcare privacy regulations (HIPAA, HITRUST)., Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later. ## Related Videos - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)