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Overview
Cigna International Healthis seeking a skilledGen AIEngineer to architect, develop, and optimise robustAIdata solutions on cloud platforms. This role is pivotal in building andmaintainingthe foundationalAI and Datainfrastructure that supports scalable, secure, and high-performance applications for our business.
The ideal candidate willengineer technical solutions, produce clean code,and ensure successful delivery of software solutions aligned with business goals.
Responsibilities
Technical Leadership:
Provide direction andberesponsible forthe output ofCloud and AI platformwithinthe applicationdevelopment.
ImplementAI platformstrategy, ensuring that it aligns with the overall business and productobjectives.
OwnAI and Data platform stackforthesolutionaligned with the product vision as defined by thesolutionproduct owner.
Contribute to the definition ofapplications development policies,standards,and procedures.
Mentoring:
Leadandmentorjuniorsoftware development teammembers, fostering a culture of innovation,automation,collaboration, and excellence.
Takeactivepart incareer developmentandperformanceof juniorsoftware development teammembers.
Project Delivery:
Executesoftware projects, ensuring they are delivered on time, within budget, and meet quality standards.
Executeproject plans and application designs to ensure projects are aligned with standards and IT strategy.
Followthe design principles, and developmentbest practicesto ensure scalable, secure, and efficient solutions, collaboratingwithother senior leads.
Requirements
Experience:
5+ years inData engineering / AIengineering roles, with a strongtrack recordin cloud-nativeAIsolutions.
Provenexpertisein AWS services (e.g., Lambda, S3, IAM, KMS,API Gateway,).
Experience with building GenAI solutions in CloudusingAzure AI, AWS Bedrock or GCP.
Experience with GenAIagents andframeworkssuch asLangChain/LangGraph, monitoring tools such asLangSmith.
Proficiencyin SQL (preferred) and Python (requiredfor automation and data processing).
Experience with using Guardrails,datamaskingandsensitive data handling.
Experience in using AI productivity tools such as Cursor and exposure to Prompt Engineering.
Leadership & Communication:
Demonstrated ability to mentor technical teams.
Excellent communication and collaboration skills.
Education:
Bachelor’s orMaster’s degree in Computer Science, Software/Data Engineering, Data Science, or a related field.
Desirable:
Experience working in regulated environments or with multi-region/multi-currency systems.
Familiarity with agile methodologies and iterative delivery.
Exposure to Jira or similar project management tools.
About The Cigna Group
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