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.