<p>We are looking for an AI Engineer to serve as a force multiplier for the client’s engineering organization. The role is part of an initiative to design, build, and scale AI-powered engineering workflows that dramatically increase developer productivity and accelerate software delivery. The client’s team is actively supporting a complex legacy-to-Python migration while maintaining multiple customer-facing applications. This role will be responsible for leveraging AI technologies to automate and optimize every phase of the Software Development Life Cycle (SDLC), including requirements analysis, code generation, testing, defect investigation, and release processes.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement AI-powered workflows that automate software engineering processes across the SDLC.</p><p>· Build and orchestrate multi-step AI agent frameworks for code analysis, generation, validation, testing, and feedback loops.</p><p>· Develop reusable AI tooling, agent templates, and engineering playbooks adopted across multiple teams.</p><p>· Create automated testing solutions, regression frameworks, and validation mechanisms using AI-assisted approaches.</p><p>· Enhance CI/CD pipelines and DevOps processes through intelligent automation and release optimization.</p><p>· Support large-scale legacy application modernization and business rule extraction initiatives.</p><p>· Build Python-based automation tools for data processing, workflow orchestration, and engineering productivity.</p><p>· Partner with developers, architects, and engineering leadership to identify and eliminate delivery bottlenecks.</p><p>· Evaluate and implement emerging AI technologies that improve software development efficiency and quality.</p>
We are looking for a senior Azure Foundry Engineer to lead the design and implementation of enterprise AI capabilities in Fort Lauderdale, Florida. This Long-term Contract position will focus on building a strong Azure AI Foundry foundation, enabling scalable generative AI solutions, and providing architectural guidance once the environment is established. The ideal candidate brings deep experience across the Microsoft AI ecosystem and can translate complex technical needs into secure, production-ready solutions.<br><br>Responsibilities:<br>• Architect and establish an Azure AI Foundry environment within the appropriate Microsoft tenant to support enterprise AI initiatives.<br>• Create, deploy, and refine generative AI applications using Azure AI services and large language model capabilities.<br>• Connect AI solutions with Azure-based platforms, external APIs, and internal business systems to enable practical use cases.<br>• Design retrieval-based AI patterns by implementing vector storage, knowledge access strategies, and prompt workflows.<br>• Define and enforce safeguards for security, governance, observability, and responsible AI operations across deployed workloads.<br>• Improve solution efficiency by tuning performance, controlling operational costs, and planning for future scale.<br>• Provide technical direction and a clear architectural overview after the foundational environment is implemented.<br>• Collaborate with stakeholders to translate business objectives into production-ready AI engineering solutions.