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Agentic AI Architect

Job in Hartford, Hartford County, Connecticut, 06112, USA
Listing for: Infosys Limited
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Python
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below

State / Region / Province

Arizona, Connecticut, North Carolina, Texas

Country

USA

Domain

Delivery

Interest Group

Company

ITL USA

Requisition

153960

Technical Skills 1

Technical Skills 2

Technical Skills 3

Overview

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.

In the assigned Job Role of Architecture Consultant 2, your Area Of Responsibility will be as below:

  • 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

Your contribution to the team:

  • The ability to analyse, design, and develop scalable and secure architectures.
  • A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions.
  • Understanding of integration methodologies, proof-of-concept validation and deployment strategies.
  • The ability to document architectural frameworks and solutions.
  • Proactive communication with internal teams and clients, ensuring alignment with business objectives.
  • A knack to keep with up technical advancements to ensure relevant and effective recommendations.
  • The ability to maintain standards and ensure smooth transition through knowledge transfer
Required Skill and Experience

OpenAI Codex, AI Coding Agents, Git Hub 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 .

AWS IAM, AWS Identity Center, Bedrock, Bedrock Agents, ECS, Lambda, API Gateway, Cloud Watch, 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 Power Shell.

Prompt injection testing, AI security validation, and enterprise AI platform operations.

Technical leadership, cross-functional collaboration, and end-to-end SDLC delivery.

Preferred Skill and Experience

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…

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