The Technical Lead AI is responsible for spearheading the design development and deployment of AI-driven chatbot solutions. The role requires deep expertise in Generative AI Agentic AI LangGraph and Model Context Protocol frameworks. The Technical Lead will provide technical direction mentor the GenAI team and ensure the delivery of robust scalable and innovative chatbot solutions for enterprise clients.
Responsibilities:
Guide the architecture and implementation of AI chatbot solutions leveraging Generative AI Agentic AI LangGraph and Model Context Protocol frameworks.
Mentor and develop GenAI engineers fostering a culture of technical excellence and continuous learning.
Establish and enforce best practices in coding design testing and deployment of AI systems.
Work closely with data scientists software engineers UI/UX designers and product managers to translate business requirements into technical deliverables.
Maintain high standards for code quality system reliability and solution scalability through rigorous code reviews and testing protocols.
Oversee the end-to-end project lifecycle ensuring timely delivery of milestones and alignment with client objectives.
Serve as the technical point of contact for clients providing regular updates technical guidance and aligning deliverables with business goals.
Identify opportunities for process optimization and technological innovation within the AI chatbot domain.
Requirements
Must-Have Skills
Generative AI expertise with a proven track record in designing and developing solutions using GenAI models and architectures.
Hands-on experience with Agentic AI systems including multi-agent orchestration and workflow automation.
Extensive experience implementing conversational flows and logic with the LangGraph framework.
Deep understanding and practical application of Model Context Protocol for managing context and state in large language model deployments.
Advanced proficiency in Python including experience with AI/ML libraries and frameworks.
Demonstrated ability to lead mentor and inspire technical teams to achieve high performance and deliver quality outcomes.
Excellent written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Good-to-Have Skills
Understanding of data modeling data pipeline design and scalable data architecture principles.
Familiarity with user interface and user experience design as it relates to conversational AI applications.
Experience deploying AI solutions on major cloud platforms such as Azure AWS or GCP.
Knowledge of CI/CD pipelines containerization and infrastructure automation is a plus.
Required Skills:
Required Skills and Qualifications Proven experience in business analysis including requirements elicitation and documentation. Strong process modeling skills particularly with BPMN. Expertise in use case documentation and translating business needs into structured technical requirements. Excellent communication and stakeholder management skills with the ability to work cross-functionally. Solid understanding of software applications and their operational contexts. Demonstrated ability in designing validation frameworks and structured data templates. Familiarity with knowledge structuring techniques for AI and human collaboration. Experience in developing business logic complexity assessments and prioritization frameworks. Ability to work independently and as part of a multidisciplinary team. Preferred Qualifications Bachelors or Masters degree in Business Analysis Computer Science Information Systems or a related field. Experience working with AI-driven test generation or machine learning projects. Prior involvement in learning teams or knowledge management initiatives. Certification in Business Analysis such as CBAP PMI-PBA or equivalent is a plus.
The Technical Lead AI is responsible for spearheading the design development and deployment of AI-driven chatbot solutions. The role requires deep expertise in Generative AI Agentic AI LangGraph and Model Context Protocol frameworks. The Technical Lead will provide technical direction mentor the Ge...
The Technical Lead AI is responsible for spearheading the design development and deployment of AI-driven chatbot solutions. The role requires deep expertise in Generative AI Agentic AI LangGraph and Model Context Protocol frameworks. The Technical Lead will provide technical direction mentor the GenAI team and ensure the delivery of robust scalable and innovative chatbot solutions for enterprise clients.
Responsibilities:
Guide the architecture and implementation of AI chatbot solutions leveraging Generative AI Agentic AI LangGraph and Model Context Protocol frameworks.
Mentor and develop GenAI engineers fostering a culture of technical excellence and continuous learning.
Establish and enforce best practices in coding design testing and deployment of AI systems.
Work closely with data scientists software engineers UI/UX designers and product managers to translate business requirements into technical deliverables.
Maintain high standards for code quality system reliability and solution scalability through rigorous code reviews and testing protocols.
Oversee the end-to-end project lifecycle ensuring timely delivery of milestones and alignment with client objectives.
Serve as the technical point of contact for clients providing regular updates technical guidance and aligning deliverables with business goals.
Identify opportunities for process optimization and technological innovation within the AI chatbot domain.
Requirements
Must-Have Skills
Generative AI expertise with a proven track record in designing and developing solutions using GenAI models and architectures.
Hands-on experience with Agentic AI systems including multi-agent orchestration and workflow automation.
Extensive experience implementing conversational flows and logic with the LangGraph framework.
Deep understanding and practical application of Model Context Protocol for managing context and state in large language model deployments.
Advanced proficiency in Python including experience with AI/ML libraries and frameworks.
Demonstrated ability to lead mentor and inspire technical teams to achieve high performance and deliver quality outcomes.
Excellent written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Good-to-Have Skills
Understanding of data modeling data pipeline design and scalable data architecture principles.
Familiarity with user interface and user experience design as it relates to conversational AI applications.
Experience deploying AI solutions on major cloud platforms such as Azure AWS or GCP.
Knowledge of CI/CD pipelines containerization and infrastructure automation is a plus.
Required Skills:
Required Skills and Qualifications Proven experience in business analysis including requirements elicitation and documentation. Strong process modeling skills particularly with BPMN. Expertise in use case documentation and translating business needs into structured technical requirements. Excellent communication and stakeholder management skills with the ability to work cross-functionally. Solid understanding of software applications and their operational contexts. Demonstrated ability in designing validation frameworks and structured data templates. Familiarity with knowledge structuring techniques for AI and human collaboration. Experience in developing business logic complexity assessments and prioritization frameworks. Ability to work independently and as part of a multidisciplinary team. Preferred Qualifications Bachelors or Masters degree in Business Analysis Computer Science Information Systems or a related field. Experience working with AI-driven test generation or machine learning projects. Prior involvement in learning teams or knowledge management initiatives. Certification in Business Analysis such as CBAP PMI-PBA or equivalent is a plus.
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