Lead Engineer AIML

What success looks like in this role:

Works closely with cross-functional project team members to ensure an integrated approach to AI / ML model application.

• Leading the design and development of Generative AI applications leveraging LLMs embeddings vector databases RAG and multi-agent frameworks

Works with AI Engineers AI experts and associated operations and other technical personnel to deliver end-to-end solutions designed to enhance user experience and deliver superior results.
Collaborates on the definition of AI / ML model development and application standards.
Employs creative and leading-edge thinking to reconcile end user requirements with technical feasibility and business viability.
Collaborates with model builders and recommends architectures to ensure timely and quality service delivery.
Provides targeted feedback and peer review for AI / ML and allied team members.
Leverages current understanding of AI / ML and software engineering to transform ideas into specific model development and product recommendations.

#LI-LS1

You will be successful in this role if you have:

• BS/BE Degree with 8 years of relevant experience.

• Strong hands-on experience with Large Language Models (LLMs) and their application in agent-based and autonomous systems.

• Solid understanding of Agentic AI concepts including planning reasoning and multi-agent collaboration.

• Solid understanding and hands-on experience agent orchestration frameworks and AI tooling ecosystems (e.g. CrewAI).

• Proficiency with Azure AI Services including Azure OpenAI Azure AI Doc Intelligence Translator etc

• Strong understanding of Azure OpenAI GPT models including capabilities limitations prompt engineering function calling tool use and structured outputs.

• Strong programming skills in Python with experience integrating AI services APIs and data pipelines.

• Proficiency in back-end development using Python and/or Golang with a focus on API-driven architecture.

• Experience with databases such as PostgreSQL and familiarity with vector databases.

• Working knowledge of at least one front-end framework such as React or Angular for UI

• Hands-on experience with cloud-native development containers and microservices.

• Demonstrated experience in cluster using Kubernetes Docker Helm & platforms like Rancher

• Familiarity with UI/UX tooling such as Figma for rapid prototyping and design collaboration.

• Cloud certifications (Azure Developer Azure AI Engineer or equivalent) are an added advantage.

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age blood type caste citizenship color disability family medical history family status ethnicity gender gender expression gender identity genetic information marital status national origin parental status pregnancy race religion sex sexual orientation transgender status veteran status or any other category protected by law.

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