AI Engineer-Tampa, FL

Infosys • Houston, AZ

3d

About The Position

The AI Engineer will work as a Specialist Programmer within Infosys’ Strategic Technology Group (STG), contributing to complex technology projects and AI initiatives. The role involves designing and developing scalable, high-quality solutions; building LLM-powered applications and agents; creating reusable frameworks and assets; and supporting reliable, production-ready delivery. The position also contributes to technology direction, innovation, knowledge sharing, and continuous improvement across programs.

The engineer will develop and apply generative AI models and build AI agents that can reason, plan, invoke tools, execute workflows, and interact with enterprise systems. Responsibilities include implementing single- and multi-agent architectures, agent orchestration and collaboration patterns, Model Context Protocol (MCP) clients and servers, reusable AI skills and tools, managed agents, and Retrieval-Augmented Generation (RAG) solutions. The role covers the AI development lifecycle, including data preprocessing, model training, evaluation, optimization, and deployment, as well as responsible AI practices focused on bias mitigation, fairness, and explainability.

The role requires collaboration with internal teams and clients, participation in knowledge transfer, support for testing and warranty issues, and risk identification and resolution. Relocation and/or travel to the work or project location may be required. Infosys is unable to provide immigration sponsorship for this role; applicants must be authorized to work for any U.S. employer without employer-based visa sponsorship.

Requirements

• Experience developing and applying generative AI models.
• Strong Python engineering skills and hands-on experience building LLM-powered applications.
• Experience with AI agents, agent orchestration, MCP integrations, reusable AI skills, managed agents, and RAG solutions.
• Proficiency in Python and FastAPI.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of each year of education.
• Authorization to work in the United States for any employer without employer-based visa sponsorship.

Nice To Haves

• Experience with Azure and Microsoft/Azure AI services.
• Experience with open-source tools and technologies.
• Consistent scores on coding sites such as HackerRank or CodeChef.
• Industry-acclaimed external certifications, if applicable.
• Active participation in technology forums.
• Contributions to the open-source community.
• Effective collaboration and communication skills.
• Excellent problem-solving skills and a strong analytical mind.
• Experience working in a collaborative, fast-paced environment.

Responsibilities

• Analyze user stories and use cases to ensure accurate understanding and production-ready delivery.
• Contribute to design specifications and technology frameworks, and help create reusable assets for productivity and complex projects.
• Deliver optimized, efficient code across applications and databases; debug complex routines and build automation.
• Support a robust technical environment and error-free coding.
• Participate in knowledge transfer and assist with reverse engineering to support transitions.
• Assist in deploying solutions for future projects and explore new technologies through initial prototypes.
• Facilitate adoption of emerging technologies through proof-of-concept initiatives aligned with business needs.
• Support implementation of technical services that meet quality-of-service requirements.
• Develop reusable assets to improve productivity and help resolve critical production issues.
• Interface with customers during warranty support and help ensure issues are fixed promptly.
• Address technical issues during testing and fix issues to support reliable, error-free releases.
• Flag risks and coordinate with the team to support timely resolution.
• Build LLM-powered AI agents capable of reasoning, planning, tool invocation, workflow execution, and interaction with enterprise systems.
• Design and implement single-agent and multi-agent architectures, including orchestration, delegation, handoffs, and collaboration patterns.
• Design and implement MCP clients and servers that securely expose enterprise data, APIs, and capabilities to AI agents.
• Develop reusable skills, tools, prompts, and agent capabilities for use across agents and use cases.
• Build and deploy managed or hosted agents using enterprise AI platforms and agent services.
• Manage the AI development lifecycle from data preprocessing and model training through evaluation, optimization, and deployment.
• Keep current with generative AI research and contribute to continuous improvement of AI capabilities.
• Champion responsible AI practices, including bias mitigation, fairness, and explainability.
• Collaborate with internal teams and clients to support knowledge sharing, continuous improvement, and innovation.

Benefits

• Medical, dental, vision, and life insurance.
• Long-term and short-term disability coverage.
• Health and dependent care reimbursement accounts.
• Accident, critical illness, hospital indemnity, and legal insurance.
• 401(k) plan and contributions dependent on salary level.
• Paid holidays and paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior