AI Engineer Lead

Title: (AI Engineer Lead)
Duration: 8/24/2026 - 6/30/2027
Work Hours: 8hrs/day –5days/week
Location: 30 E. Broad St., Columbus, OH 43215
Position: Remote


Role Summary
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. Requires understanding of API design
principles and specific constraints of AI service interfaces.
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, with strong focus on making the agent
interactions as human-like and engaging as possible.
Analyzing agent interaction data to identify
patterns, trends, and areas for improvement. Preparing reports on agent
performance metrics.
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,
especially when handling sensitive user data.
Working effectively with cross-functional teams,
including business analysts, UX designers, project managers, and business
customers and business SMEs from across the enterprise. Good communication
skills are essential.
Collaborating effectively with Automation Center
of Excellence (CoE) team members, incorporating the established standards;
adhering to organization process and ensuring that solutions align with target
architectures and technology roadmaps.
Ensuring that AI systems operate safely,
transparently and within acceptable boundaries in alignment with the
organization’s governance policies and practices.
Planning, initiating and spearheading proof of
concept (POC) initiatives using emerging technologies.
Technical writing leveraging tools such as Word,
PowerPoint, Visio, SharePoint, and Excel to develop presentations and white
papers.


Skills & Credentials

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 is
required.


·
Experience in creating and maintaining
Enterprise Looker Dashboards for monitoring performance of implemented AI
Agents is required.


·
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 is required.


·
Ability to develop AI agents/ virtual assistants
using Microsoft Foundry with Azure services like Azure AI Search, and Azure AI
Language Service, Microsoft Power Platform and Microsoft CoPilot Studio.


·
Ability to integrate virtual assistants with
various Microsoft services (such as Office 365, SharePoint) and third-party
APIs to enhance functionality.


·
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. Experience in developing, testing, and
deploying chatbot applications.


·
Ability to facilitate and lead discussions with
business SME’s


·
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.


Education & Experience


·
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:


o
Application development


o
Network design


o
Middleware


o
Servers and storage


o
Database management


o
Operations


o
Artificial intelligence and machine learning
fundamentals


o
Natural language processing (NLP) and large
language model (LLM) integration