6 Month Contract to Hire
Onsite 3 days/week – Hartford, CT
$70/hr-$80/hr
To be considered for an interview, please make sure your application is full in line with the job specs as found below.
Must‑Have Qualifications
Extensive experience delivering enterprise‑scale conversational AI solutions from design through production
Deep hands‑on expertise with IBM WatsonX Orchestrate or similar conversational AI platforms
Strong full stack development background using NodeJS/TypeScript and Java with Spring
Advanced understanding of scalable architecture, enterprise data management, and integration patterns
Proven ability to evaluate business requirements and propose technically sound, cost‑effective, and scalable solutions
Experience leading solution delivery within SAFe Agile environments
Strong communication skills with the ability to influence technical direction across teams
Nice‑to‑Have Qualifications
Experience with modern front‑end frameworks and UI technologies
Advanced NLP training, Speech‑to‑Text optimization, and SSML‑based voice refinement experience
Familiarity with analytics, data governance, and data engineering tools
Experience with cloud platforms such as AWS, Azure, or Google Cloud
Strong critical thinking skills and a proactive approach to emerging technologies and industry trends
Day‑to‑Day
As a Lead Conversational AI Solutions Engineer, you will own the technical design and end‑to‑end delivery of conversational AI solutions, ensuring alignment with business priorities, scalability, and performance goals. You will lead solution design discussions, participate in feature and story refinement, identify technical risks and dependencies, and recommend architectural approaches that balance functionality, cost, and long‑term sustainability. You will work closely with product, UI/UX, backend, and integration teams to align conversational experiences with enterprise systems and user needs. xsgimln While this role does not involve people management, you will act as a technical leader by setting engineering standards, guiding implementation decisions, and ensuring high‑quality, user‑centric conversational solutions are delivered consistently.