Senior Agentic Engineer

Infosys

About The Position

The Infosys Financial Services unit is a global leader in digital transformation for financial institutions, using AI, cloud, and data-led innovation to help clients accelerate growth and improve business value. The role contributes to AI-driven transformation projects across banking, wealth management, and insurance. In the assigned role of Technology Consultant 2, the engineer contributes to requirements elicitation, documents business requirements, facilitates application design discussions, and records design decisions. The role includes coding and integrating application features, reviewing and maintaining code, implementing testing strategies, analyzing results, coordinating bug fixes, and supporting software quality. It also develops user training, documentation, and support frameworks; helps resolve production issues and recommend preventive measures; and maintains records of code, testing, and support activities. The role involves end-to-end software development lifecycle delivery, translating requirements into actionable development work, hands-on software design and coding, testing and troubleshooting, and integration with cross-functional teams. Required expertise centers on enterprise AI coding platforms and agent engineering, identity and access management, AWS services, Python and APIs, testing and evaluation, security validation, and platform operations.

Requirements

Experience with OpenAI Codex, AI coding agents, and GitHub Copilot Enterprise administration and deployment.
Experience in AI agent engineering and orchestration, Custom GPTs, Assistants, and Model Context Protocol (MCP).
Knowledge of MCP security, authorization, enterprise IAM, RBAC, and fine-grained access controls.
Knowledge of SSO, SAML, OAuth 2.0, OIDC, SCIM provisioning, Active Directory, and Microsoft Entra ID.
Experience with AWS IAM, AWS Identity Center, Bedrock, Bedrock Agents, ECS, Lambda, API Gateway, CloudWatch, and VPC.
Strong Python development skills, including Async Python, REST APIs, and automation or integration services.
Experience with structured logging, test automation, regression testing, and agent evaluation frameworks.
Experience with Bash/Shell scripting and PowerShell.
Experience with prompt injection testing, AI security validation, and enterprise AI platform operations.
Technical leadership, cross-functional collaboration, and end-to-end SDLC delivery capabilities.
Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive specialty experience in lieu of each year of education.
Candidates must be authorized 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.
The position may require relocation and/or travel to the work or project location.

Nice To Haves

Enterprise production experience with AI coding platforms and AI-assisted development tools.
Hands-on experience implementing least-privilege access controls for AI agents and autonomous systems.
Strong understanding of MCP security boundaries and agent security architecture.
Advanced proficiency in Python, including asynchronous programming.
Experience developing and maintaining APIs using FastAPI, Flask, or similar frameworks.
Expertise in structured logging, observability, and monitoring for distributed applications.
Experience building automated agent evaluation frameworks and AI application validation processes.
A strong background in test harness development, automated testing, and regression testing suites.
Proficiency in Bash/Shell scripting and PowerShell for automation and operational tasks.
Experience conducting prompt injection testing, AI security assessments, and vulnerability analysis.
Demonstrated technical leadership, including mentoring teams, driving technical decisions, and leading solution delivery.

Responsibilities

Document assigned portions of business requirements as part of requirements elicitation.
Facilitate software application design discussions and document decisions for the technical team.
Code and integrate features or updates into existing applications while maintaining system stability.
Conduct code reviews, make codebase changes, and maintain code repositories.
Implement test strategies, analyze results, and coordinate bug fixes.
Develop user training programs, documentation, and support frameworks for new software applications.
Participate in resolving production issues and recommend preventive strategies to improve system reliability.
Maintain records of code, testing techniques, and support activities for the knowledge base and related projects.
Contribute across end-to-end SDLC phases, from requirements gathering through implementation.
Collaborate with cross-functional teams on software integration.