10 jobs for "Gen AI Solution Engineer"

Gen AI Solution Engineer

At Infosys - Charlotte

Posted on Oct 12

View job Apply on company site

STA_AI Architect_Oslo

At Infosys - Oslo

Posted on Nov 6

View job Apply on company site

Senior Engineering Manager Test/Automation - Prisma Access

At Palo Alto Networks - Santa Clara

Posted on Nov 3

View job Apply on company site

Senior Gen AI Applications Architect

At GE Vernova - Remote / Flexible

Posted on Oct 22

View job Apply on company site

Gen AI & Python Enterprise Architect

At Deloitte - New York

Posted on Oct 21

View job Apply on company site

STA_AI Architect_London

At Infosys - London

Posted on Oct 24

View job Apply on company site

Forward Deployment Engineer

At Cornerstone OnDemand - Hyderabad

Posted on Oct 10

View job Apply on company site

PL - Principal Consultant Gen AI

At Infosys - Warsaw

Posted on Oct 21

View job Apply on company site

FS/ AI Engineer - GenAI / Agentic Systems - FS - Infosys Consulting

At Infosys - Basking Ridge

Posted on Nov 6

View job Apply on company site

SCON_ AI_ London

At Infosys - London

Posted on Oct 24

View job Apply on company site

Infosys

Gen AI Solution Engineer

CharlottePosted 27 days ago

Apply on company site View full job

In the assigned Job Role of Data Science Consultant 3, your Area Of Responsibility will be as below:
• Review data preparation tasks, and plans to address patterns or anomalies, while ensuring data readiness for advanced modeling and AI.
• Review models for complex use cases (e.g., forecasting models, LLM-based solutions), and refine algorithms to meet business needs.
• Review plan for smooth deployment into scalable, production-ready solutions.
• Review test plans and test results for analytics use cases, while defining optimization standards for model accuracy and stability, in alignment with business goals.
• Build models and analytics solutions tailored to business needs.
• Ensure quality and scalability across client engagements while actively contributing to knowledge assets and innovation streams.
• Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.
• Review and refine analytics problems; identify data sources and extract from diverse environments.
• Oversee analysis execution and drive business insights.
• Create monitoring strategies across multiple projects, embedding governance frameworks to ensure robustness, reliability, and risk awareness.
• Review monitoring frameworks, refine documentation/reporting templates, and present insights on anomalies or slippages to stakeholders.
• Refine documentation strategy across teams, ensuring transparency and reproducibility of complex analytics solutions.
• Collaborate with cross-functional teams, ensuring alignment between analytics delivery and business strategy.
• Review analytics outputs for adherence to quality frameworks and project commitments.
• Recommend improvements to quality metrics and guide team members to align with standards.
• Identify and recommend model changes needed for successful deployment.
• Engage in creation and refinement of IP assets such as analytics prototypes and accelerators.
• Develop insights, whitepapers, and proof-of-concept summaries that highlight innovative thinking.
• Review innovative models and applications in non-ML, ML, deep learning, or LLM areas.
• Support participation in forums and internal knowledge exchanges.
• Deliver training sessions on technical and analytics-specific topics.
• Collaborate on content creation and mentor team members through hands- on guidance in live projects.
• Provide input for segment and unit-level business plans.

Your contribution to the team:

• A strong focus on innovation and scalable analytics solutions.
• Proactive problem-solving ability for complex, data-driven business challenges.
• Deep technical expertise across advanced modeling and AI use cases.
• A strategic mindset to align analytics with business goals.
• Ability to mentor team members and drive continuous improvement.
• Strong communication and knowledge-sharing capabilities.

About Infosys

https://www.infosys.com

Size: 10,000+ employees
Industry: Consulting

View company profile