Agentic AI Architect

Infosys

22h

About The Position

The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

Requirements

OpenAI Codex, AI Coding Agents, GitHub Copilot Enterprise administration and deployment.
AI Agent Engineering, orchestration, Custom GPTs, Assistants, and MCP (Model Context Protocol).
MCP security, authorization, enterprise IAM, RBAC, and fine-grained access controls.
SSO, SAML, OAuth 2.0, OIDC, SCIM Provisioning, Active Directory, and Microsoft Entra ID.
AWS IAM, AWS Identity Center, Bedrock, Bedrock Agents, ECS, Lambda, API Gateway, CloudWatch, and VPC.
Hands-on Python development, Async Python, REST APIs, and automation/integration services.
Structured logging, test automation, regression testing, and agent evaluation frameworks.
Bash/Shell scripting and PowerShell.
Prompt injection testing, AI security validation, and enterprise AI platform operations.
Technical leadership, cross-functional collaboration, and end-to-end SDLC delivery.

Nice To Haves

Enterprise-level 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 Model Context Protocol (MCP) security boundaries and agent security architecture.
Advanced proficiency in Python, including asynchronous programming (Async Python).
Experience developing and maintaining APIs using modern API frameworks such as FastAPI, Flask, or similar.
Expertise in structured logging, observability, and monitoring for distributed applications.
Experience building automated agent evaluation frameworks and AI application validation processes.
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 with experience mentoring teams, driving technical decisions, and leading solution delivery.

Responsibilities

Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy
Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases
Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape
Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository