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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** McKesson - **Location:** Richmond, VA, United States - **Experience:** Experienced - **Salary:** $108,800.0 - $181,300.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, ARM Architecture, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Computing, Information Engineering, Machine Learning, Systems Development Life Cycle, Salesforce.Com, Search Technologies, Software Deployment, Software Engineering, Management of Software Versions, Google Cloud, Microsoft Power Automate, Large Language Models, Snowflake, Generative AI, Kubernetes, Information Technology - **Published:** May 15, 2026 - **Apply:** https://www.oriontalent.com/search-jobs/career/11609038/ai-engineer-virginia-va-richmond ## About the Role We are seeking an experienced AI Developer/Engineer (Level 3) to design, develop, and deploy enterprise-grade generative AI solutions. This role requires deep expertise in modern AI application frameworks, cloud platforms, and the ability to work independently while collaborating across cross-functional teams. The ideal candidate will drive AI initiatives from concept through production, ensuring solutions meet security, compliance, and performance standards., * 4+ years of overall professional software engineering experience * 2+ years of hands-on experience/exposer developing AI/ML or generative AI applications, including Production deployment of GenAI solutions (e.g., RAG, agentic workflows) End-to-end SDLC ownership in enterprise environments * Demonstrated experience operating AI systems in secure, regulated, enterprise-scale environments, * Bachelor's degree in Business, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field, * Master's degree in a related field preferred * An equivalent combination of education, training, and relevant hands-on experience may be considered Certifications ( Preferred not required) * Google Cloud - Professional Machine Learning Engineer * Google Cloud Generative AI Engineer (or equivalent GenAI specialization) * Google Cloud - Professional Cloud Architect * Microsoft Certified: Azure AI Engineer Associate ## Description * Design, develop, and maintain generative AI applications utilizing RAG architectures, agentic workflows, and modern orchestration patterns * Architect and implement solutions using Azure and GCP services, including Vertex AI, Agent Builder, ADK, and Gemini foundation models * Build and optimize embedding pipelines and vector retrieval systems using best practices for semantic search and knowledge retrieval * Develop and integrate applications with enterprise orchestration platforms such as Salesforce AgentForce, Microsoft Copilot, and Snowflake Cortex AI * Lead AI projects through the complete software development lifecycle (SDLC), from requirements gathering to production deployment and monitoring * Design and implement prompt engineering strategies, including prompt versioning, management, and optimization for production systems * Implement LLM evaluation frameworks to measure response quality, accuracy, and relevance across AI applications * Implement AI observability mechanisms, define key performance indicators (KPIs), and establish monitoring dashboards for model performance and application health * Monitor and optimize LLM API costs and token usage to ensure cost-effective operation at scale * Ensure all AI solutions comply with enterprise security, privacy, and regulatory requirements * Collaborate with data engineering, platform, and business teams to deliver integrated AI solutions that meet organizational objectives * Provide technical guidance and mentorship to junior team members on AI development best practices * Evaluate emerging AI technologies and recommend adoption strategies aligned with business goals ## Related Videos - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [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) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Got AI ideas but no money? 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