Job Description

Infosys is seeking an AI Engineer. This position will interface with key stakeholders and apply your technical proficiency across different stages of the AI Solution Development Life Cycle including requirements gathering data preparation model design and deployment. You will play an important role in creating high-level solution architectures developing and optimizing machine learning models and ensuring seamless integration with enterprise systems. Responsibilities include delivering high-quality code and model artifacts leading validation for all types of testing (functional performance and accuracy) and supporting activities related to implementation transition and warranty. You will be part of a learning culture where teamwork and collaboration are encouraged excellence is rewarded and diversity is respected and valued.

• Bachelors 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.

• At least 4 years of experience in Information Technology.

• 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 at this time.

• Experience in MLOps tools (e.g. MLflow Kubeflow Airflow) and Python.

• Location for this position is Austin TX. This position requires travel and/or relocation toproject/client location.

Preferred Qualifications:

• Strongin AI/ML engineering or related roles.

• At least 2 years of experience in MLOps tools (e.g. MLflow Kubeflow Airflow).

• At least 2 years of experience in Python and ML libraries such as TensorFlow PyTorch Scikit-learn XGBoost.

• Experience with prompt engineering tools and frameworks such as LangChain LlamaIndex OpenAI API Hugging Face Transformers.

• Hands-on experience with cloud platforms (AWS or GCP) and containerization (Docker Kubernetes).

• Solid understanding of software engineering principles data structures and algorithms.

• Familiarity with data platforms like Databricks Snowflake Apache Spark.

• Excellent communication and collaboration skills.

• Design develop and deploy robust machine learning models for classification regression recommendation systems and time-series forecasting.

• Lead prompt engineering efforts for generative AI models (e.g. GPT Claude Gemini) optimizing prompts for performance relevance and safety.

• Collaborate with cross-functional teams to translate business requirements into ML and AI solutions.

• Build and maintain scalable data pipelines and model training workflows.

• Implement MLOps practices for continuous integration deployment and monitoring of ML models.

• Fine-tune pre-trained models using transfer learning and domain adaptation techniques.

• Develop reusable ML components and prompt templates for scalable deployment.

• Stay current with emerging trends in AI/ML and apply innovations to business problems

• Experience with LLMs prompt tuning and retrieval-augmented generation (RAG).

• Knowledge of vector databases (e.g. FAISS Pinecone Weaviate).

• Familiarity with chain-of-thought prompting in-context learning or multi-agent pipelines

• Familiarity with MCP and A2A

• Experience in building and deploying chatbots virtual assistants or AI copilots.

• Exposure to Responsible AI principles and bias mitigation techniques.

• Domain experience in retail sales supply chain or customer analytics.

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

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.

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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