Generative AI (GenAI) Architect

Job Title: Gen AI Architect

Location: Jersey City, NJ (Hybrid)

Duration: Contract

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