Artificial Intelligence Engineer (Tampa)

Applied AI Engineer

Location - Nashville or Tampa(10% travel to either locations is required.)

Contract : 12+ Months

Description:

The services You will provide the Deloitte project team:As a Software Developer Contractor, you will be responsible for developing, creating, and modifying software applications to meet business requirements and enhance system performance.Developing and customizing software applications based on user needs and business requirements.Analyzing and designing databases within an application area, working individually or coordinating database development as part of a team.Troubleshooting and resolving issues related to software applications and integrations.Collaborating with stakeholders to gather requirements and provide technical expertise in software development.Ensuring the quality and performance of applications through testing and maintenance

• Experience building, delivering, or supporting AI-enabled solutions using Large Language Models (LLMs), Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), vector databases, AI orchestration frameworks, or related AI technologies in enterprise environments.

• Understanding of Responsible AI principles, including AI governance, security, privacy, transparency, human oversight, and model evaluation best practices.

• Demonstrated ability to effectively leverage AI tools and assistants to improve individual productivity, accelerate delivery, enhance decision-making, automate routine tasks, and improve quality across day-to-day work activities.

• Strong AI literacy, including the ability to evaluate AI-generated outputs, apply critical thinking and human judgment, and identify appropriate use cases for AI-driven solutions.

• Preferred: Hands-on experience with Python and/or .NET technologies for developing, integrating, and operationalizing AI-enabled applications and services.

• Continuous learner with a passion for staying current on emerging AI technologies, practices, and industry trends.

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Preferred Skills (Recommended for All Engineering-Focused Applied AI Roles)

• Experience with Python, .NET, cloud-native application development, APIs, microservices, and modern software engineering practices.

• Experience with Azure OpenAI, Azure AI Foundry, Microsoft Copilot technologies, AI orchestration frameworks, vector databases, and enterprise AI platforms.

• Experience developing, integrating, deploying, or operating AI-enabled applications in Azure cloud environments.

• Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to deliver high-quality products rapidly.

• experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering.

• Prior experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.

• Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.