Détails du poste

Rôle du poste

Architecture Consultant 3


Rôle professionnel

Senior Technology Architect - US


Emplacement du poste

Plano, TX, Raleigh, NC, Reston, VA, Richardson, TX


État / Région / Province

North Carolina, Texas, Virginia


Pays

USA


Domaine

Delivery


Groupe d’intérêts

Infosys Limited


Entreprise

ITL USA


Numéro de demande

150072BR


Compétence technique 1

Technology|Agentic AI|Agent Engineering


Compétence technique 2

Technology|Cloud Platform|AWS App Development


Compétence technique 3

Technology|DevOps|Continuous delivery - Continuous deployment and release


Compétence technique 4

Technology|OpenSystem|Python - OpenSystem


Aperçu

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 3, your Area Of Responsibility will be as below:

⦁ Create business requirement documents covering functional and non-functional requirements, basis information gathered as part of workshops and interviews with client stakeholders
⦁ Review, propose, and develop solution architecture, ensuring application design aligns with the proposed framework and which are scalable, reliable and maintainable
⦁ Assess and recommend suitable technologies, tools and platforms for implementation as a part of architectural design, to meet business requirements
⦁ Review technical solutions and develop strategies for integration with different technologies and systems, to ensure seamless communication and data flow
⦁ Resolve complex technical challenges during build, deployment, and support phases while promoting reusable frameworks and artifacts
⦁ Provide specialized insights to development team and build collaborative relationships with clients and internal teams, securing successful execution of projects
⦁ Identify potential risks in the system landscape, monitor system performance and suggest optimization initiatives in line with business requirements and long-term objectives
⦁ Establish and uphold comprehensive knowledge base to guarantee that vital information is systematically recorded and readily available
⦁ Contribute to proposals and RFPs by delivering insights related to architectural solutions, for successfully delivering the proposed solutions

Your contribution to the team:

⦁ Expertise in designing and reviewing solution architectures that align with business goals.
⦁ The ability to provide architectural insights to strengthen solution proposals and ensure successful delivery.
⦁ A strategic mindset to align technical solutions with business goals and market trends.
⦁ Proactively drive initiatives to ensure smooth execution and transition of projects.
⦁ The ability to engage with clients and internal teams to build strong and productive relationships.
⦁ Passion for mentoring and fostering a knowledge-sharing culture.

Aptitudes et expérience requises

⦁ Experience in Administer coding agents , IDE’s, 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

Aptitudes et expérience souhaitées

⦁ 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

Exigences supplémentaires requises

• 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

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.