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50 GlaxoSmithKline Pharmaceuticals Jobs

Full Stack GenAI Engineer

5-10 years

Bangalore / Bengaluru

1 vacancy

Full Stack GenAI Engineer

GlaxoSmithKline Pharmaceuticals

posted 4d ago

Job Description

The Full Stack GenAI Engineer will develop and deploy advanced Generative AI cloud-based solutions. This hands-on role demands deep technical expertise and as part of the GenAI team in deploy and optimizing GenAI agents for the Global Supply Chain.
 
Why is this job critical
This role ensures the effective use of cloud technologies and AgentOps practices within GSKs Global Supply Chain, designing robust solutions, optimizing performance, and implementing AI governance. The Full Stack GenAI Engineer is key in delivering efficient, reliable, and secure GenAI solutions, enhancing operational efficiency and strategic decision-making.
 
Responsibilities:

Own Technical Implementation of Cloud & DevOps Capabilities:

  • Implement state-of-the-art cloud and AgentOps technologies and best practices.
  • Deploy, and validate GenAI Applications on the cloud-based, aligning with business objectives.
  • Embed automated processes (CI/CD).
  • Design scalable, secure, and cost-effective GenAI cloud solutions to meet current and future business needs.
  • Influence the architecture and AgentOps frameworks.
  • Troubleshoot GenAI cloud application issues, working closely with infrastructure teams and application owners.
  • Foster innovation within the team to support a collaborative work environment.

Collaboration and Stakeholder Management:

  • Identify opportunities to apply the latest advancements in cloud and AgentOps technologies.
  • Work with our cross-functional team to deliver features in an iterative manner.
  • Collaborate with other teams to troubleshoot and resolve complex issues.
  • Educate the organization both from IT and the business perspectives on Generative AI.

Security and Compliance:

  • Ensure all GenAI solutions adhere to security best practices and cloud AI standards.

Technical Expertise:

  • Provide deep technical expertise in cloud technologies and AgentOps tools.
  • Serve as a subject matter expert for complex technical issues and provide hands-on support.
Desired Qualifications: Education and Experience:
  • Higher degree (PhD preferred) in Computer Science, Engineering, AI, Machine learning or related field.
  • 5+ years in cloud technologies, Generative AI, and API development.
Technical Skills:
  • Extensive knowledge of cloud services and tools (Azure preferred), including Azure Machine Learning, Vertex AI, AI Search, Databricks, Mosaic ML, Genie, Webapps, Azure Service Bus, Azure DevOps, Azure CLI, Azure AI services, App Insights, and Azure OpenAI.
  • Good software engineering background, (developing application, API, frontend integration, security best practices, experience with fastAPI, Asyncio is a plus).
  • Strong experience with cloud model deployment and monitoring (CI/CD, Weight&Biases GitHub pipelines is a plus).
  • Advanced understanding of security, compliance, and ethical considerations in cloud and AgentOps.
Soft Skills:
  • Demonstrate a combination of strong analytical and problem-solving skills, and programming knowledge to be able to quickly deliver features
  • Strong problem-solving abilities.
  • Excellent collaboration & communication skills to report back complex findings in a clear, structured manner.
Certifications:
  • Relevant certifications in cloud and AgentOps are a plus.

Employment Type: Full Time, Permanent

Read full job description

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What people at GlaxoSmithKline Pharmaceuticals are saying

What GlaxoSmithKline Pharmaceuticals employees are saying about work life

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78%
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48%
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Flexible timing
Monday to Saturday
Within city
Day Shift
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GlaxoSmithKline Pharmaceuticals Benefits

Job Training
Health Insurance
Soft Skill Training
Education Assistance
Child care
Cafeteria +6 more
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