105 jobs for "Gen AI Engineer"

Python Gen AI Developer - Director - Lead Cybersecurity Engineering

At Morgan Stanley - Bengaluru

Posted on Nov 3

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AI Engineer 4 (Gen AI Platform Services)

At Capital One - San Francisco · McLean

Posted on Nov 8

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Software Engineer III - Java + Python + React + Gen AI

At JPMorgan Chase - Bengaluru

Posted on Oct 25

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Gen AI Engineer

At Infosys - Austin

Posted on Nov 2

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Gen AI Solution Engineer

At Infosys - Charlotte

Posted on Oct 12

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Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

At Capital One - New York · San Francisco

Posted on Nov 5

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AI Engineer 4 (Gen AI Platform Services: Agentic Systems)

At Capital One - San Francisco · McLean

Posted on Oct 30

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Lead Software Engineer - (14-18 years - Java, Distributed Systems, Microservices, Cloud, Security, Platform Engineering, Gen AI)

At Visa - Bengaluru

Posted on Oct 8

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Delivery Consultant, Data Engineering and Gen AI Conversion Solutions

At Deloitte - Gilbert · Lake Mary

Posted on Oct 6

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Gen AI Software Engineer Senior

At Experian - Remote / Flexible

Posted on Aug 20

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Sr. Software Development Engineer - Gen AI

At Esri - Redlands

Posted on Jan 19

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Software Development Engineer II - Gen AI and Innovation Team

At GM Financial - Irving · Arlington

Posted on Jul 31

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Senior Gen AI Software Engineer

At Liftoff - Remote / Flexible

Posted on Aug 14

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AI Engineer 4 (MLX, Agentic AI, Gen AI workflows, GraphRAG)

At Capital One - New York · San Francisco

Posted on Oct 30

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AI Engineer 4 (Gen AI Platform Services: Agentic AI)

At Capital One - New York · San Francisco

Posted on Oct 28

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AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)

At Capital One - San Jose · San Francisco

Posted on Oct 22

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AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

At Capital One - San Jose · San Francisco

Posted on Oct 22

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AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)

At Capital One - McLean · San Francisco

Posted on Oct 21

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AI Engineer 5 (Gen AI SDK: Agentic AI, Guardrails, Evaluation)

At Capital One - New York · San Francisco

Posted on Oct 19

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AI Engineer 4 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

At Capital One - New York · San Francisco

Posted on Oct 8

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Infosys

Gen AI Engineer

AustinPosted 6 days ago

Apply on company site View full job

In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below:
• Develop data preparation tasks, while identifying patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.
• Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.
• Design and develop predictive models and data-driven analyses to address business challenges.
• Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
• 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.
• Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
• Proactively maintain models and implement improvements for accuracy and reliability.
• Apply governance controls to mitigate risks and ensure compliance.
• Analyze performance trends, recommend improvements, and document discrepancies for escalation.
• Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.
• Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
• Apply the predefined quality measurement framework at an individual task level in the project.
• Deploy complex analytics tools or multi-system integration, while validating deployment success.
• Participate in developing scripts or templates for repeated deployments tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.
• Participate in and deliver analytics training, while contributing to content creation.
• Provide input for segment and unit-level business plans.

Your contribution to the team:

• Deliver scalable, high-quality analytics solutions aligned to business needs.
• A knack for optimization, deployment and performance improvement of models.
• The ability to drive innovation through advanced analytics, automation and thought leadership.
• Enable team growth through knowledge sharing, training and standardization.
• Support business planning with data-driven insights.

About Infosys

https://www.infosys.com

Size: 10,000+ employees
Industry: Consulting

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