ST-L1- Tampa, FL

Infosys • Houston, AZ

5d

About The Position

The Senior Technologist is part of Infosys’ Strategic Technology Group (STG), which focuses on complex, large-scale technology challenges and transformational initiatives. The role combines hands-on software development, architecture, technical leadership, and mentoring to deliver resilient, high-quality solutions and influence technology direction and best practices.

The position focuses on designing enterprise generative AI and agentic AI solutions, including LLM-powered applications, AI agents, multi-agent systems, agent orchestration, Model Context Protocol (MCP) integrations, reusable AI skills, managed agents, and Retrieval-Augmented Generation (RAG). The Senior Technologist defines end-to-end architectures, evaluates frameworks and cloud AI services, and establishes controls for security, governance, observability, auditability, and responsible AI.

The role also involves evaluating project requirements, creating reusable technology frameworks and assets, delivering production-ready code, supporting test automation, and resolving complex technical challenges. The Senior Technologist works with data scientists, software engineers, product managers, and other teams; contributes to code reviews and proofs of concept; mentors peers; and stays current with emerging technologies. Relocation and/or travel to the work or project location may be required.

Requirements

• Experience in core development with strong architecture and engineering knowledge.
• Hands-on experience designing LLM-powered applications, AI agents, multi-agent systems, agent orchestration, MCP integrations, reusable AI skills, managed agents, and RAG solutions.
• Proficiency in Python, FastAPI, and LangChain.
• Working experience with AI cloud services such as Azure AI Services and OpenAI.
• Bachelor’s degree or foreign equivalent from an accredited institution; three years of progressive specialty experience may be considered in lieu of each year of education.
• Comfort working in a fast-paced, agile environment.
• Good collaboration and communication skills.
• Authorization to work in the United States for any employer without employer-based visa sponsorship; Infosys cannot provide immigration sponsorship for this role now or in the future.

Nice To Haves

• Master’s degree in computer science, artificial intelligence, or a related field, or equivalent experience.
• Experience with cloud platforms such as Azure and Microsoft/Azure AI services.
• Experience fine-tuning open-source AI models.
• Strong understanding of one or more domains and associated industry standards.
• Relevant industry-acclaimed external certifications.
• Active participation in technology forums.
• Contributions to the open-source community.

Responsibilities

• Evaluate project requirements and use cases and deliver high-quality designs, frameworks, and production-ready code.
• Design technology frameworks for complex scenarios, develop design patterns and reference implementations, create reusable assets, and conduct design reviews.
• Deliver high-quality code across applications, databases, and integrations; optimize code, debug complex routines, and develop code generators and pilot implementations for reusable components.
• Collaborate with other teams to align project goals and technology implementations, and provide technical guidance to peers.
• Identify and independently develop proofs of concept for emerging technologies and complex modules, supporting timely delivery.
• Provide input for high-risk, multi-technology and multi-language deployments.
• Evaluate and implement technical services to meet quality-of-service requirements and align with business and IT KPIs.
• Create reusable assets and deliver defect-free code to meet quality benchmarks and Zero-Defect Delivery goals.
• Resolve technical challenges on complex projects and reduce risk exposure.
• Stay informed about emerging technologies and industry trends and apply relevant learning to project decisions and outcomes.
• Support test automation and execute test strategies to improve quality.
• Define end-to-end architectures for enterprise generative AI and agentic AI solutions.
• Design single-agent and multi-agent architectures, including orchestration, routing, delegation, handoffs, collaboration, and human-in-the-loop patterns.
• Design MCP integration architectures that securely expose enterprise data, APIs, tools, and capabilities to AI agents.
• Define reusable skills, tools, prompts, and agent capabilities for use across agents and business cases.
• Design solutions using managed or hosted agents and enterprise AI platforms; evaluate and recommend agent-orchestration frameworks.
• Establish architectural controls for guardrails, security, observability, logging, tracing, governance, auditability, and responsible AI.
• Take ownership of assigned stages of the AI development lifecycle, such as data preprocessing, model training, evaluation, optimization, or deployment, and understand how they connect end to end.
• Collaborate with data scientists, software engineers, and product managers to understand requirements and raise technical feasibility concerns early.
• Stay current with generative AI research and share learnings with the team.
• Promote responsible AI practices, including awareness of bias mitigation, fairness, and traceability.
• Participate in code reviews, both receiving feedback and reviewing peers’ code, to maintain quality standards.
• Support proofs of concept for new technologies and take responsibility for assigned work.
• Mentor peers and foster technical excellence across projects.

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