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Job Description & How to Apply Below
Python Lead with LLM Experience
Requirement
Summary:
- Resources should have strong python programming is the key critical skills and having exposure to Gen AI or LLMs.
- The core cloud platform would be AWS for 75% of their needs.
- The expectation is each of the 5 resources would be on different POD teams – one could be doing open
API, one could be google dialog flow, one could be on nova sonic/AWS platform. They want to decide it they can use AWS strands as their multi agent framework or not. - The onsite lead is expected to be senior lead who can track daily status from all these team members on daily basis, proactively communicate on daily basis, track the tasks/deliverables, report and help them with the analysis across platforms and ensure deliverables are met from the team. So, onsite lead is somebody who can help facilitate & work with multiple technologies with customer & internal teams, with strength in preferably AWS/Strands Agentic AI platform, in my opinion.
- They expect these team members to do the analysis, PoCs as per each of the assigned POD tasks and deliver and contribute actively with recommendations.
- There could be work related to data pipelines, etc to setup on AWS platform for the most part.
Skill Sets:
- Lead – Should have led a team
- Should be articulate
- Should have strong theoretical knowledge on LLM, Agentic AI etc
- Should be hands on strong Python Developer to assist the team when required
- Should have analytical skills to evaluate the LLM performance based on prompts and guide the team
- Novasonic
- OpenAI
- Nova lite and other models from AWS bedrock
- Agentic frameworks , they should know what they are but not having implemented is still fine provided good at Python
- Strands
- Lang Graph
- Even ADK is fine
Applications will be accepted until 01/09/2026.
The annual salary for this position is between $ 60,000– $ 130,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer:
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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