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Generative AI Architect
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-01-01
Listing for:
Tekgence Inc
Full Time
position Listed on 2026-01-01
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Title: Generative AI Architect
Position Type: Contract
Location: Jersey City, NJ (Hybrid)
Position OverviewWe 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.
- 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).
Familiarity with Dev Ops practices and CI/CD pipelines for automated software deployment and delivery.
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