Job Title : Generative AI Architect
Position Type : Contract
Location : Jersey City, NJ (Hybrid)
Position Overview
We are seeking a highly skilled and experienced Generative AI (GenAI) Onsite Architect to join our team. The ideal candidate should have a deep understanding of AI technologies, particularly in the area of generative AI models, and will be responsible for designing and implementing AI solutions.
Key Responsibilities :
- Develop and design scalable and efficient GenAI solutions tailored to our requirements.
- Lead the implementation of GenAI systems, ensuring they are robust, secure, and performant.
- Work closely with cross-functional teams, including engineers and product managers to integrate AI solutions into existing systems.
- Stay up-to-date with the latest advancements in AI and apply this knowledge to drive innovation within the company.
- Create comprehensive documentation for AI solutions, including design specifications, implementation guides, and user manuals.
- Provide training and mentorship to junior team members and clients on GenAI technologies and best practices.
Qualifications :
Minimum of 5 years of experience in AI / ML, with a focus on generative models.Proven track record of successfully implementing AI projects in real-world settings. Experience in managing the end-to-end lifecycle of AI projects, from conception to deployment.Proficiency in programming languages such as Python and other AI frameworks.Strong analytical and problem-solving skills, with the ability to think critically and creatively.Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Proven leadership abilities, with experience managing and mentoring technical teams.Ability to work in a fast-paced, dynamic environment and adapt to changing project requirements.Experience with cloud platforms such as AWS.Familiarity with natural language processing (NLP)Preferred Qualifications :
Familiarity with DevOps practices and CI / CD pipelines for automated software deployment and delivery