Lead AI Engineer

Role Description

JFS is seeking an experienced Lead AI Engineer, with expertise in context engineering and agent design who will develop AI solutions in Google, AWS and Microsoft ecosystems and will have the opportunity to mentor and lead AI engineers in the team. Responsibilities include building and (/or) mentoring AI engineers to build conversational agents, integrating with natural language processing or generative AI, and agents/ virtual assistants to software applications. AI Engineer is responsible for designing and delivering data access through APIs and ensuring that these solutions are securely deployed.

Core Responsibilities

• Developing applications that interact with web services, APIs, and other software applications.
• Mentoring and leading AI design and development efforts as needed.
• Conducting peer reviews for AI design and development efforts to ensure existing standards are adhered to and establish additional standards as needed.
• Designing the overall structure of Agentic AI solutions, including determining necessary features, user flow, API development and integration with other systems.
• Implementing and tuning Natural Language Processing techniques to improve AI assistants’ understanding and response accuracy.
• Training and deploying AI models, and monitoring solution performance by creating and utilizing Dashboards.
• Creating custom indexes, managing data sources, and tuning intent matches to improve accuracy and relevance of results within the AI solution context.
• Designing conversational flows that provide a seamless and intuitive user experience.
• Analyzing agent interaction data to identify patterns, trends, and areas for improvement.
• Identifying and resolving issues related to agent performance, including debugging and updating the system as necessary.
• Ensuring the AI agent/ conversational assistant complies with data privacy laws and maintaining high standards of security.
• Working effectively with cross-functional teams, including business analysts, UX designers, project managers, and business customers.
• Collaborating effectively with Automation Center of Excellence (CoE) team members.
• Ensuring that AI systems operate safely, transparently and within acceptable boundaries.
• Planning, initiating and spearheading proof of concept (POC) initiatives using emerging technologies.
• Technical writing leveraging tools such as Word, PowerPoint, Visio, SharePoint, and Excel.

Qualifications

• Extensive knowledge and experience developing AI Conversation agents using Google tools such as CX Agent Studio, Google Conversational Agents, Google Dialogflow CX, and(/or) Google CCAI Services.
• Experience in creating and maintaining Enterprise Looker Dashboards for monitoring performance of implemented AI Agents.
• Experience developing Generative AI solutions in AWS ecosystem including but not limited to AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions.
• Ability to develop AI agents/ virtual assistants using Microsoft Foundry with Azure services.
• Ability to integrate virtual assistants with various Microsoft services and third-party APIs.
• Deep understanding of API design principles and specific constraints of AI service interfaces.
• Strong programming skills in languages such as C#, .NET, JavaScript, or Python.
• Ability to facilitate and lead discussions with business SMEs.
• Ability to create and present AI solution proposals and communicate both business and technical concepts.
• Ability to lead and conduct emerging technology analysis and conduct proof of concept initiatives.
• Experience in training and deploying AI models.
• Experience in leading efforts to create technology solutions and architectures impacting critical areas of the business.
• Ability to establish and maintain a high-level of customer trust and confidence.
• Ability to think critically and solve problems.
• Strong consultative skills at a cross-functional level.

Requirements

• Bachelor’s degree in computer science, Information systems or related discipline, or equivalent and extensive related project experience; Master’s degree preferred.
• Six years of experience in IT, with at least 4 years AI Conversational Agents and (or) Generative AI combined implementation experience using Microsoft, Google and AWS ecosystems.
• 2 years’ AI Engineer Experience developing Google conversational agents / CX Agent Studio / Dialogflow CX Web and Voice Virtual Assistants is mandatory.
• 2 years developing Enterprise Looker Dashboards to monitor AI Agent performance is mandatory.
• 2 years’ AI Engineer Experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions are mandatory.
• Agentic AI Developer Experience using Microsoft Foundry is preferred.
• Experience developing and maintaining SharePoint online solutions using MS Power Platform preferred.
• Google and AWS Certifications relevant to this role preferred.
• Minimum of six years of hands-on design and implementation experience in IT, with knowledge in a minimum of two of the following technical disciplines:
• Application development
• Network design
• Middleware
• Servers and storage
• Database management
• Operations
• Artificial intelligence and machine learning fundamentals
• Natural language processing (NLP) and large language model (LLM) integration