Technology AI Architect
Raleigh, WV - USA
Job Summary
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 clients 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 teams 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
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.
Required Skill and Experience
Experience in Administer coding agents IDEs extensions and adjacent technologies
Experience in Design and implement agentic workflows skills MCPs personas and tools across AWS developer ecosystems.
Experience in Engage with community through outreach training and support
Experience in DevOps Continuous delivery - Continuous deployment and release
Experience with Python for AI/ML model development training and deployment
Experience with Java for enterprise-grade AI application development and integration
Preferred Skill and Experience
Experience in AWS cloud services including SageMaker Bedrock S3 Glue Athena and Lambda for AI/ML workloads
Experience in Large Language Models (LLMs) including prompt engineering fine-tuning and RAG (Retrieval-Augmented Generation) implementations
Experience in MLOps practices including model versioning CI/CD pipelines for ML and model monitoring using tools like MLflow or Kubeflow
Experience with AI governance and responsible AI practices including model explainability bias detection and compliance
Familiarity with containerization and orchestration using Docker and Kubernetes for AI model and agent deployment
Additional Required Qualifications
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.
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.
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.
Required Experience:
Staff IC
About Company
Welcome to Infosys Careers for Experienced Professionals As a leading provider of next-generation consulting, technology and outsourcing solutions, we are dedicated to helping organizations in over 46 countries to renew their core and simultaneously innovate into new frontiers. Whilst ... View more