What success looks like in this role:
- Rapidly converting ideas, business problems, and hypotheses into working demonstrations & PoCs
- Designing, building, and orchestrating Agentic AI systems, including autonomous and semi-autonomous agents capable of reasoning, planning, tool usage, and goal execution.
- Leading the design and development of Generative AI applications leveraging LLMs, embeddings, vector databases, RAG, and multi-agent frameworks.
- Working with Scrum/Agile teams to develop rapid prototypes and work toward scalable enterprise solutions.
- Evaluating, selecting, and integrating AI frameworks, agent orchestration tools, and model providers relevant to agentic and generative AI development.
- Staying current on LLMs, agent architectures, reasoning, memory, and AI best practices.
- Learning, evaluating, and leveraging emerging AI tooling ecosystems including copilots, agent builders, orchestration platforms, and observability tools.
- Self-starter working independently as well as collaboratively to deliver high-impact outcomes.
- Providing technical leadership, guidance, and mentorship to junior AI engineers, fostering a culture of continuous learning and innovation.
- Demonstrating strong ownership of quality, reliability, security, and productivity, using efficient development practices, reusable components, and enterprise standards.
#LI-LS1
You will be successful in this role if you have:
- BS/BE Degree with 5-8 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.
Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.
If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com. US job seekers can find more information about Unisys’ EEO commitment here.
