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Unisys

Lead Engineer – AI/ML

Unisys

Lead Engineer specializing in AI/ML applications at Unisys, collaborating with cross-functional teams and enhancing user experience. Seeking a strong background in LLMs and Azure AI Services.

Posted 7/9/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Generative AI application design and development, with strong proficiency in Large Language Models and cloud-native development. Collaborates effectively with cross-functional teams to deliver end-to-end AI/ML solutions while leveraging a solid understanding of software engineering principles.

Highest-signal resume keywords
Generative AI Application DevelopmentLarge Language Models (LLMs)Azure AI ServicesPython ProgrammingCloud-Native Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Large Language Models (LLMs)Python ProgrammingBack-End DevelopmentAgentic AI ConceptsAgent Orchestration FrameworksPostgreSQLReactAngularKubernetesDocker
Soft Skills
Creative ThinkingCollaborationFeedback and Peer Review
Tools & Technologies
Azure AI ServicesFigmaHelmMicroservicesCloud-Native Development
Certifications & Qualifications
Azure DeveloperAzure AI Engineer
Industry Keywords
AIMLSoftware EngineeringUI/UX

Tech Stack

Tools & technologies
AngularAzureCloudDockerGoKubernetesMicroservicesPostgresPythonReact

About the role

Key responsibilities & impact
  • Works closely with cross-functional project team members
  • Leading the design and development of Generative AI applications
  • Works with AI Engineers and associated operations to deliver end-to-end solutions
  • Collaborates on the definition of AI / ML model development and application standards
  • Employs creative thinking to reconcile user requirements with technical feasibility
  • Collaborates with model builders and recommends architectures
  • Provides targeted feedback and peer review for AI / ML team members
  • Leverages understanding of AI / ML and software engineering to transform ideas into product recommendations

Requirements

What you’ll need
  • BS/BE Degree with 8+ years of relevant experience
  • Strong hands-on experience with Large Language Models (LLMs)
  • Solid understanding of Agentic AI concepts
  • Solid understanding of agent orchestration frameworks
  • Proficiency with Azure AI Services
  • Strong programming skills in Python
  • Proficiency in back-end development using Python, and/or Golang
  • Experience with databases such as PostgreSQL
  • Working knowledge of at least one front-end framework such as React or Angular
  • Hands-on experience with cloud-native development, containers, and microservices
  • Demonstrated experience in cluster using Kubernetes, Docker, Helm
  • Familiarity with UI/UX tooling such as Figma
  • Cloud certifications (Azure Developer, Azure AI Engineer, or equivalent) are an added advantage

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development