Hello Professionals,
Hope You're doing Great.
We have an excellent job opportunity for Remote Position. It is a long term contract opportunity with our client. if you are interested, please share your updated resume here.
Role: AI Engineering Lead
Location : Cincinnati, OH (Remote)
Job Duration : Long Term Contract
Job Description :
Lead the engineering team in designing, developing, and deploying AI-driven features for HR Systems and Digital Assistant, focusing on automation of HR processes, actionable insights, and seamless user experiences.
Design and implement AI agent solutions, leveraging industry standards for reliability, explainability, and responsible AI (RAI) practices.
Integrate and optimize the use of internal tools such as Claude Code, GitHub Co-pilot, Open AI SDK, LangChain, LangGraph, and Autogen for agent orchestration, retrieval-augmented generation (RAG), and workflow automation.
Collaborate with product management, UX, and business stakeholders to align technical solutions with strategic goals and user needs.
Ensure compliance with enterprise data governance, security, and privacy standards, and contribute to the development of AI architecture standards.
Mentor and develop engineering talent, fostering a culture of innovation, continuous learning, and technical excellence.
Knowledge of AI/ML technologies with ability to stay current with emerging and industry trends.
Required Skills
Bachelor s or Master s degree in Computer Science, Engineering, or related field.
Proven experience in leading AI agent development, with a strong understanding of agent architectures, orchestration frameworks, and industry best practices
Hands-on expertise with IBM Watson platform, including Watson Assistant and related AI services.
Familiarity with Claude Code, GitHub Co-pilot, Open AI SDK, LangChain, LangGraph, and/or Autogen for building and deploying advanced AI agents.
Experience integrating AI solutions with enterprise systems (e.g., Oracle HCM, UKG, Azure, Databricks) and managing multi-cloud environments.
Strong analytical skills, with the ability to take a holistic perspective on system design, data flows, and business impact.
Excellent communication skills, able to translate complex technical concepts for stakeholders and collaborate effectively with cross-functional teams
Demonstrated commitment to responsible AI, data privacy, and ethical standards in AI deployments