Agentic AI Engineer

Infosys; Hartford (CT); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays and PTO

Job summary

Infosys is seeking a Data Science Consultant 2 in Hartford, CT to drive data preparation, modeling, and deployment of analytics solutions for banking, wealth management, and insurance sectors. You will leverage SAS, R, and Python, build scalable models, and collaborate with cross-functional teams to deliver business value.

You will ensure governance, maintain models, and contribute to thought leadership, training, and IP asset creation while advancing analytics capabilities across projects.

Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution.
• Relocation and travel may be required for work/project location.
• All applicants authorized to work in the United States are encouraged to apply.

Responsibilities

• Develop data preparation tasks and identify patterns or anomalies.
• Ensure data readiness for advanced modeling and deployment.
• Develop models for complex use cases, refine algorithms, and deploy into production-ready solutions.
• Conduct testing and optimize algorithms for performance, reliability, and scalability.
• Design and develop predictive models and data-driven analyses to address business challenges.
• Leverage SAS and R/Python to create reusable customizations for ML and non-ML tasks.
• Define analytics problems and execute visualization, analysis, and predictive modeling under guidance.
• Maintain models and implement improvements for accuracy and reliability.
• Apply governance controls to mitigate risks and ensure compliance.
• Analyze performance trends and document discrepancies for escalation.
• Participate in knowledge transfer sessions and document standards.
• Engage with stakeholders to refine requirements and guide implementation of models.
• Deploy complex analytics tools and multi-system integrations; develop deployment templates.

Skills

OpenAI Codex, AI Coding Agents, GitHub

AI Agent Engineering, MCP

Python development (Async)

REST APIs, automation/integration

AI security testing

End-to-end SDLC delivery

Education

Bachelor’s degree or foreign equivalent

Relocation/travel willingness

Tools

GitHub Copilot Enterprise

APIs frameworks (FastAPI/Flask)

SAS, R

Cloud (AWS) services

Job description

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 Data Science Consultant 2, your Area Of Responsibility will be as below:

• Develop data preparation tasks, while identifying patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.
• Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.
• Design and develop predictive models and data-driven analyses to address business challenges.
• Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
• Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.
• Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
• Proactively maintain models and implement improvements for accuracy and reliability.
• Apply governance controls to mitigate risks and ensure compliance.
• Analyze performance trends, recommend improvements, and document discrepancies for escalation.
• Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.
• Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
• Apply the predefined quality measurement framework at an individual task level in the project.
• Deploy complex analytics tools or multi-system integration, while validating deployment success.
• Participate in developing scripts or templates for repeated deployments tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.
• Participate in and deliver analytics training, while contributing to content creation.
• Provide input for segment and unit-level business plans.

Your Contribution To The Team

• Deliver scalable, high-quality analytics solutions aligned to business needs.
• A knack for optimization, deployment and performance improvement of models.
• The ability to drive innovation through advanced analytics, automation and thought leadership.
• Enable team growth through knowledge sharing, training and standardization.
• Support business planning with data-driven insights.

Required Skill And Experience

• 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.
• Strong 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.

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 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.

Additional Required Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• All applicants authorized to work in the United States are encouraged to apply.

Benefits

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.