AI Engineer-Tampa, FL

Infosys

6d

About The Position

The AI Engineer will work in Infosys’ Strategic Technology Group (STG), a unit for experienced technologists addressing complex, large-scale technology challenges. STG works across software development, cloud-native architectures, enterprise platforms, data engineering, generative AI, and agentic AI. Team members contribute technical expertise, architectural judgment, hands-on leadership, mentoring, and influence over best practices.

In the Specialist Programmer role, the engineer analyzes user stories and use cases, contributes to design specifications and technology frameworks, and develops optimized, production-ready code. The position supports reusable assets, automation, debugging, technical quality, knowledge transfer, prototypes, proofs of concept, deployment, testing, production issue resolution, and customer warranty support. The role also involves collaboration with teams and clients, risk mitigation, and adoption of emerging technologies.

The engineer develops generative-AI applications and agents, including single- and multi-agent architectures, agent orchestration, MCP integrations, reusable AI Skills, Managed Agents, and RAG solutions. Responsibilities span the AI development lifecycle, from data preparation and model training through evaluation, optimization, and deployment. The role also promotes responsible AI practices focused on bias mitigation, fairness, and explainability. The position is based in Tampa, Florida, and may require relocation and/or travel to the work or project location. Infosys cannot provide immigration sponsorship for this role.

Requirements

• Experience developing and applying generative AI models.
• Strong Python engineering skills and hands-on experience building LLM-powered applications, 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; three years of progressive experience in the specialty may substitute for each year of education.
• Must be authorized to work in the United States without employer-based visa sponsorship; Infosys cannot provide immigration sponsorship for this role now or in the future.

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 for production-ready delivery.
• Contribute to design specifications and technology frameworks, and help create reusable assets for productivity and complex projects.
• Deliver high-quality, optimized, efficient code across applications and databases; debug complex routines and build automation.
• Support a robust technical environment and help ensure error-free coding.
• Participate in knowledge-transfer sessions and assist with reverse-engineering methodologies for transition processes.
• Assist with deploying solutions for future projects by exploring new technologies through initial prototypes.
• Facilitate adoption of emerging technologies through proofs of concept aligned with business needs.
• Support implementation of technical services to meet quality-of-service requirements.
• Develop reusable assets focused on productivity improvement and help resolve critical production issues.
• Interface with customers during warranty support to ensure issues are fixed promptly.
• Address technical issues during testing and fix issues across testing phases to support reliable, clean releases.
• Flag risks and support timely mitigation and resolution in coordination with the team.
• Build LLM-powered agents that reason, plan, invoke tools, execute workflows, and interact 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 to 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 Agents or hosted agents using enterprise AI platforms and agent services.
• Manage the AI development lifecycle, including data preprocessing, model training, evaluation, optimization, and deployment.
• Keep current with generative AI research and contribute to continuous improvement of AI capabilities.
• Champion responsible AI practices focused on bias mitigation, fairness, and explainability.
• Collaborate with internal teams and clients to promote 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.
• Competitive pay.

What This Job Offers

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