Senior AI Engineer

Infosys Limited; United States; On-site; USD 86,000 - 134,000; Full time

Benefits offered by this job

Disability insurance

Health reimbursement accounts

Insurance (various)

401(k) plan

Job summary

Infosys Limited is seeking a Senior AI Engineer to design and build production-grade LLM-powered applications and agentic systems. The role covers end-to-end development from architecture to deployment, leveraging Python, LangChain, and scalable design.

You will architect and deliver LLM-powered applications, design RAG pipelines with embeddings, and build multi-step, tool-using agents. Join a team driving AI-enabled enterprise solutions with cloud integration and performance focus.

Qualifications

• Senior AI engineer to design and build production-grade LLM-powered applications and agentic systems.
• Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python.
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases.
• Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain.
• Integrate AI systems with APIs, backend services, and cloud platforms.
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost).

Responsibilities

• Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python.
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases.
• Build multi-step, tool-using agents (planning, execution, memory) using LangChain.
• Integrate AI systems with APIs, backend services, and cloud platforms.
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost).

Skills

Python

LangChain

LangGraph

AutoGen

RAG

Embeddings

Vector databases

Cloud platforms

Education

Bachelor’s degree or foreign equivalent

3 years of progressive experience in lieu of education

Tools

LangChain

LangGraph

AutoGen

Job description

Technology|Generative AI|Conversational AI Platform

Technical Skills 2

Technology|Agentic AI|Agent Engineering

Technical Skills 3

Technology|OpenSystem|Python - OpenSystem

Technical Skills 4

Technology|Cloud Integration and API Management|Cloud Integration and API Management - ALL

Overview

The Infosys Engineering unit is dedicated to amplifying product-centric value delivery through innovative engineering solutions. We focus on adopting a data-first approach to engineering and value-stream management, enabling real-time visibility into the flow of value. Our team leverages advanced technologies such as AI, ML, and predictive analytics to drive continuous improvement, enhance delivery processes, and accelerate time to market. Join us to be part of a team that is at the forefront of engineering innovation, delivering intelligent insights and empowering stakeholders to achieve hyper-productivity and sustainable growth.

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

Senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions from architecture to deployment - leveraging Python, modern LLM frameworks, and scalable system design.

Key Responsibilities include

• Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases
• Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain
• Integrate AI systems with APIs, backend services, and cloud platforms
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)

Preferred Skill and Experience

• Strong Python expertise with experience building and deploying production-grade backend systems
• Hands-on experience developing applications using LLMs, including prompt engineering and orchestration
• Proven experience with RAG architectures, embeddings, and vector databases
• Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
• Strong system design skills with experience building and scaling cloud-based applications

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.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Estimated annual compensation range for this role will be as follows:
In CA / WA / NY / CO, IL, MN, NJ: $ 96,000 to $ 134,400
In Washington, DC: $85,600 to $ 129,000

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

• 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

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.