AI Engineering Lead
Remote only on w2
Job Details
Role Description
- The AI Engineering Lead will drive the technical vision architecture and delivery of AI-powered applications and digital assistant solutions supporting HR and operational workflows. This role is pivotal in expanding AI capabilities integrating advanced AI agents and ensuring the applications meet evolving business needs with reliability scalability and compliance.
- 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
- Bachelors or Masters 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.
Nice-to-have Skills
- Experience with HR technology platforms and digital worker automation.
- Track record of delivering measurable improvements in operational efficiency and user experience through AI.
Required Skills:
IBM Watson AnalyticsClaude code
AI Engineering Lead Remote only on w2 Job Details Role Description The AI Engineering Lead will drive the technical vision architecture and delivery of AI-powered applications and digital assistant solutions supporting HR and operational workflows. This role is pivotal in expanding AI capabilitie...
AI Engineering Lead
Remote only on w2
Job Details
Role Description
- The AI Engineering Lead will drive the technical vision architecture and delivery of AI-powered applications and digital assistant solutions supporting HR and operational workflows. This role is pivotal in expanding AI capabilities integrating advanced AI agents and ensuring the applications meet evolving business needs with reliability scalability and compliance.
- 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
- Bachelors or Masters 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.
Nice-to-have Skills
- Experience with HR technology platforms and digital worker automation.
- Track record of delivering measurable improvements in operational efficiency and user experience through AI.
Required Skills:
IBM Watson AnalyticsClaude code
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