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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer II - **Company:** Kirkland and Ellis - **Location:** Houston, TX, United States - **Experience:** Experienced - **Salary:** $116,000.0 - $144,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Engineering, Computer Programming, Data Governance, Linux, Github, Python (Programming Language), Machine Learning, Performance Tuning, Windows PowerShell, Regression Testing, Azure Machine Learning, Search Technologies, Software Engineering, Systems Integration, Delivery Pipeline, Large Language Models, IT Architecture, Build Management, AI Platforms, Infrastructure Automation Frameworks, Information Technology, Bicep, Terraform, Docker - **Published:** June 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5518f07c3a7fbfc2 ## About the Role Do you have experience in Python?, * Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; advanced degree or certifications (e.g., Microsoft Certified: Azure AI Engineer Associate) are a plus. * Experience: 3-5 years of hands-on experience in software engineering, cloud engineering, or AI/machine learning (AI/ML) development with a track record of delivering solutions end-to-end. * Programming & AI Development: Strong Python skills with experience building AI/ML models, APIs, and LLM or RAG-based solutions. * Cloud & Platform Expertise: Experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Azure OpenAI Service, Azure AI Search) along with Docker and Kubernetes (AKS). * Engineering Practices: Familiarity with continuous integration and continuous delivery (CI/CD) pipelines, infrastructure as code (IaC) tools (Terraform or Bicep), and modern API/integration patterns. * Evaluation & Optimization: Understanding of AI evaluation techniques, including prompt testing, benchmarking, and performance tuning. * Technical Versatility: Experience with GPU environments, Linux systems, and frameworks such as LangChain, Semantic Kernel, or Azure Prompt Flow. * Collaboration & Mindset: Strong problem-solving skills, a collaborative approach, and a passion for mentoring and continuous improvement. If you're excited to build impactful AI solutions, collaborate with forward-thinking teams, and drive innovation in this AI Engineer II role, we'd love to hear from you! ## Description Are you passionate about building scalable, real-world AI solutions that transform how professionals work? As an AI Engineer II, you'll design, build, and optimize enterprise AI solutions that power innovation across Information Technology's Innovation Technology and Litigation Practice Technology (LPT) teams. Reporting to the AI Engineering Lead, you'll take ownership of the full AI solution lifecycle-from architecture and deployment to evaluation and continuous improvement-while collaborating closely with cross-functional stakeholders. In this role, you'll combine technical depth with practical impact, helping deliver secure, production-ready solutions while also mentoring junior engineers and contributing to the evolution of AI capabilities across the organization. * Solution Architecture: Design scalable, secure AI architecture and translate business needs into actionable technical solutions and implementation plans. * AI Development & Deployment: Build and deploy AI models, large language model (LLM)-powered applications, and retrieval-augmented generation (RAG) pipelines across enterprise environments. * Quality & Evaluation: Create and manage evaluation frameworks including regression testing, benchmark datasets, and human-in-the-loop validation to ensure high-quality outputs. * Troubleshooting & Optimization: Diagnose and resolve complex issues across AI systems and integrations, performing root cause analysis and implementing long-term fixes. * Automation & Efficiency: Develop and enhance automated pipelines for AI delivery using tools like Azure DevOps, GitHub Actions, Python, and PowerShell. * Security & Responsible AI: Ensure solutions meet security standards, data governance requirements, and Responsible AI (RAI) guidelines while complying with regulatory expectations. * Collaboration & Mentorship: Partner with engineers, architects, and stakeholders across teams while mentoring junior team members and contributing to knowledge sharing. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Got AI ideas but no money? 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