AI Principal Architect
Infosys
•
Indianapolis, IN
0
0
0
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Not Applicable
Posted March 26, 2026
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Responsibilities
Commitments
Responsibilities
- Architect and deliver scalable GenAI solutions across data, model, and application layers.
- Define reference architectures, reusable patterns, and best practices for AI integration into products.
- Design and operationalize LLM, RAG, Copilot, and Agentic AI workflows.
- Familiarity with ML and able to integrate AI/ML solutions
- Establish MLOps and GenAIOps pipelines for model lifecycle management, monitoring, and governance.
- Collaborate with product, data, and engineering teams to translate business needs into AI-enabled features.
- Lead PoCs and innovation initiatives to evaluate emerging frameworks and technologies.
- Mentor teams on AI engineering, prompt design, and scalable deployment practices.
- Support pre-sales and customer discussions to define solution approaches and architecture options.
- Familiarity of a Product development Value chain in a domain.
Commitments
Candidates can be located in Indianapolis, IN or Richardson, TX or Raleigh, NC or Phoenix, AZ.
This position will require travel to project locations.
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.
The job entails sitting as well as working at a computer for extended periods of time.
Should be able to communicate by telephone, email or face to face.
Travel may be required as per the job requirements.
Not Met Priorities
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Requirements
- Candidates can be located in Indianapolis, IN or Richardson, TX or Raleigh, NC or Phoenix, AZ.
- This position will require travel to project locations.
- Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 11 years of overall IT experience.
- Strong foundation in NLP, and LLM-based architectures.
- Familiarity with machine learning, deep learning (Strong knowledge is an added advantage)
- Hands-on expertise with Python, TensorFlow, PyTorch, LangChain, LangGraph/CrewAI/AutoGen, Hugging Face, and MLflow.
- Experience with cloud AI ecosystems — AWS (SageMaker, Bedrock), Azure (AI Studio, OpenAI), or GCP (Vertex AI).
- GraphRAG
- Experience in Foundation models, Codex tool plugins, New Coding tools (Cursor, Devin)
- Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, MILVUS) and RAG pipelines.
- Familiarity with containerization (Docker, Kubernetes) and MLOps workflows.
- Exposure to prompt engineering, fine-tuning, evaluation, and responsible AI practices.
- Understanding of data engineering, model observability, and AI governance.
- Architect and deliver scalable GenAI solutions across data, model, and application layers.
- Define reference architectures, reusable patterns, and best practices for AI integration into products.
- Familiarity with ML and able to integrate AI/ML solutions
- Familiarity of a Product development Value chain in a domain.
- Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.
Preferred Skills
- Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- Familiarity with ML and able to integrate AI/ML solutions
- Strong analytical, problem-solving, and communication abilities.
- Collaborative mindset with ability to work across product, engineering, and data teams.
- Thought leadership in driving AI adoption, innovation, and best practices.
- Experience supporting AI CoE initiatives and customer engagements.
- The job entails sitting as well as working at a computer for extended periods of time.
- Should be able to communicate by telephone, email or face to face.
Education
- (Required) – Bachelor’s degree or foreign equivalent required from an accredited institution.
- (Not required) – Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Infosys is seeking an AI Principal Architect. In this role, you will lead the design and implementation of AI-driven product capabilities across multiple domains like Aero, Manufacturing, Retail, Finance etc. using both Traditional & Generative AI + Machine Learning. The role involves defining architecture, guiding development, and enabling innovation across AI/ML, LLM, RAG, and Agentic AI use cases. The ideal candidate combines strong technical depth with product mindset, collaboration, and leadership. The candidate should have technical consulting capabilities, Solutioning acumen, Domain knowledge on any of the industries where GEN AI is applied. Candidate should be able to conduct value stream workshops in discovering the AI implementation scope and able to create architecture and detailed solutions. Candidate should have excellent communication skills.
Required Qualifications
Candidates can be located in Indianapolis, IN or Richardson, TX or Raleigh, NC or Phoenix, AZ. This position will require travel to project locations.
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.
At least 11 years of overall IT experience.
Strong foundation in NLP, and LLM-based architectures.
Familiarity with machine learning, deep learning (Strong knowledge is an added advantage)
Hands-on expertise with Python, TensorFlow, PyTorch, LangChain, LangGraph/CrewAI/AutoGen, Hugging Face, and MLflow.
Experience with cloud AI ecosystems — AWS (SageMaker, Bedrock), Azure (AI Studio, OpenAI), or GCP (Vertex AI). GraphRAG
Experience in Foundation models, Codex tool plugins, New Coding tools (Cursor, Devin)
Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, MILVUS) and RAG pipelines.
Familiarity with containerization (Docker, Kubernetes) and MLOps workflows.
Exposure to prompt engineering, fine-tuning, evaluation, and responsible AI practices.
Understanding of data engineering, model observability, and AI governance.
Key Responsibilities Will Include
Architect and deliver scalable GenAI solutions across data, model, and application layers.
Define reference architectures, reusable patterns, and best practices for AI integration into products.
Design and operationalize LLM, RAG, Copilot, and Agentic AI workflows.
Familiarity with ML and able to integrate AI/ML solutions
Establish MLOps and GenAIOps pipelines for model lifecycle management, monitoring, and governance.
Collaborate with product, data, and engineering teams to translate business needs into AI-enabled features.
Lead PoCs and innovation initiatives to evaluate emerging frameworks and technologies.
Mentor teams on AI engineering, prompt design, and scalable deployment practices.
Support pre-sales and customer discussions to define solution approaches and architecture options.
Familiarity of a Product development Value chain in a domain.
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.
Preferred Qualifications
Strong analytical, problem-solving, and communication abilities.
Collaborative mindset with ability to work across product, engineering, and data teams.
Thought leadership in driving AI adoption, innovation, and best practices.
Experience supporting AI CoE initiatives and customer engagements.
The job entails sitting as well as working at a computer for extended periods of time.
Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
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.
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.
Required Qualifications
Candidates can be located in Indianapolis, IN or Richardson, TX or Raleigh, NC or Phoenix, AZ. This position will require travel to project locations.
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.
At least 11 years of overall IT experience.
Strong foundation in NLP, and LLM-based architectures.
Familiarity with machine learning, deep learning (Strong knowledge is an added advantage)
Hands-on expertise with Python, TensorFlow, PyTorch, LangChain, LangGraph/CrewAI/AutoGen, Hugging Face, and MLflow.
Experience with cloud AI ecosystems — AWS (SageMaker, Bedrock), Azure (AI Studio, OpenAI), or GCP (Vertex AI). GraphRAG
Experience in Foundation models, Codex tool plugins, New Coding tools (Cursor, Devin)
Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, MILVUS) and RAG pipelines.
Familiarity with containerization (Docker, Kubernetes) and MLOps workflows.
Exposure to prompt engineering, fine-tuning, evaluation, and responsible AI practices.
Understanding of data engineering, model observability, and AI governance.
Key Responsibilities Will Include
Architect and deliver scalable GenAI solutions across data, model, and application layers.
Define reference architectures, reusable patterns, and best practices for AI integration into products.
Design and operationalize LLM, RAG, Copilot, and Agentic AI workflows.
Familiarity with ML and able to integrate AI/ML solutions
Establish MLOps and GenAIOps pipelines for model lifecycle management, monitoring, and governance.
Collaborate with product, data, and engineering teams to translate business needs into AI-enabled features.
Lead PoCs and innovation initiatives to evaluate emerging frameworks and technologies.
Mentor teams on AI engineering, prompt design, and scalable deployment practices.
Support pre-sales and customer discussions to define solution approaches and architecture options.
Familiarity of a Product development Value chain in a domain.
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.
Preferred Qualifications
Strong analytical, problem-solving, and communication abilities.
Collaborative mindset with ability to work across product, engineering, and data teams.
Thought leadership in driving AI adoption, innovation, and best practices.
Experience supporting AI CoE initiatives and customer engagements.
The job entails sitting as well as working at a computer for extended periods of time.
Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
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.
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.