AI Engineer

Infosys

Phoenix (AZ)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
401(k) Plan
Paid holidays
Disability Insurance
Life Insurance

Job summary

Infosys is seeking senior technologists to tackle large-scale, cloud-native challenges in the Strategic Technology Group (STG). The role emphasizes deep technical leadership, architecture, and hands-on delivery across AI, ML, NLP, and data platforms in a global delivery context.

Candidates should have strong Python skills and experience with frameworks like TensorFlow or PyTorch, plus cloud platforms such as AWS, GCP, or Azure.

Qualifications

  • Experience in developing and applying generative AI models.
  • Strong understanding of ML fundamentals, DL architectures, and NLP.
  • Proficiency in Python and DL frameworks like TensorFlow or PyTorch.
  • Design, develop, and deploy generative AI models for varied apps.
  • Fine-tune pre-trained LLMs for task-specific needs and domains.

Responsibilities

  • Analyze user stories and ensure production-ready delivery.
  • Develop scalable, optimized code and support automation.
  • Prototype new tech and assist in reusable asset creation.
  • Lead technical risk management and ensure QoS requirements.
  • Collaborate with data scientists, engineers, and PMs to define work.
  • Mentor team members and contribute to best practices.

Skills

Generative AI
Machine Learning
Python
NLP
Deep Learning
LLMs
AI deployment
Software architecture
Mentoring

Education

Bachelor's degree

Tools

TensorFlow
PyTorch
OpenShift
AWS
GCP
Azure

Job description

Overview

The Strategic Technology Group (STG) unit at Infosys is designed for power programmers and senior technologists who want to go beyond traditional development roles and take on complex, large‑scale technology challenges. The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders who possess deep expertise across software design and development, cloud‑native architectures, enterprise platforms, data engineering, and emerging technologies, including generative AI and agentic AI. Members of the STG unit play a strategic role in shaping technology direction, solving complex business challenges, and delivering resilient, high‑quality outcomes. They are expected to demonstrate strong technical depth, sound architectural judgment, and hands‑on leadership, while mentoring teams and influencing best practices across programs. The STG unit emphasizes software development excellence, innovation, and continuous upskilling. It offers experienced talent the opportunity to work on transformational initiatives, engage closely with stakeholders, and grow as trusted technology leaders within Infosys’s global delivery ecosystem.

Area of Responsibility
  • Analyze user stories and use cases to ensure accurate understanding for production‑ready delivery.
  • Contribute to redefine design specifications and technology frameworks and assist in creation of reusable assets to enhance productivity and support complex technology projects.
  • Deliver high‑quality, optimized and efficient code across applications and databases, engage in debugging complex routines and build automation.
  • Support the team to foster a robust technical environment and ensure error‑free coding.
  • Participate in knowledge transfer sessions and assist in utilizing reverse engineering methodologies to support the transition process.
  • Assist in deploying solutions for future projects exploring new technologies through initial prototypes.
  • Facilitate adoption of emerging technologies through POC initiatives aligned to business needs.
  • Support in implementation of technical services to meet quality service (QoS) requirements.
  • Contribute to development of reusable assets with specific focus on productivity improvement and support resolution of critical production issues.
  • Interface with customers during warranty support to ensure issues are fixed in a timely manner.
  • Address technical issues during testing to ensure a reliable, production‑ready codebase.
  • Assist in mitigating risks by flagging them and support timely resolution in coordination with the team.
  • Fix issues during testing phases to ensure error‑free, clean releases.
Your Contribution To The Team

A knack for designing and developing scalable, high‑quality and optimized solutions that meet complex business needs. The ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment‑ready strategies. The ability to build reusable frameworks, automation scripts, and knowledge assets that enhance team productivity. Strong problem‑solving mindset to debug complex technical issues and deliver error‑free and reliable outcomes. Commitment to quality, performance and risk management, ensuring resilient and efficient project delivery. Proactive collaboration with internal team and client to drive knowledge sharing, continuous improvement and innovation.

Required Skills and Experience
  • Experience in developing and applying generative AI models.
  • Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP).
  • Proficiency in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch.
  • Design, develop, and deploy generative AI models for various applications such as text generation, image creation, and code synthesis.
  • Fine‑tune pre‑trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals.
  • Manage the entire AI development lifecycle, from data pre‑processing and model training to evaluation, optimization, and deployment.
  • Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly.
  • Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities.
  • Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability.
Preferred Skills and Experience
  • Experience in cloud‑based platforms like OpenShift, AWS, GCP, Azure.
  • Experience in Open‑Source tools and technologies.
  • Consistent score in coding sites like Hackerrank, CodeChef, etc.
  • Industry‑acclaimed external certifications, if applicable.
  • Active participation in technology forums.
  • Contribution to open‑source community.
  • Effective collaboration and communication skills.
  • Excellent problem‑solving skills and a strong analytical mind.
  • Experience working in a collaborative and fast‑paced environment.
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.
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.

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