Cynet Systems Inc
GenAI Architect
7 days agoPayCompetitive
LocationJersey City/New Jersey
Employment typeFull-Time
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Job Description
- Req#: 25-32736
- 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.
- Possess a deep understanding of cloud systems and various services available in cloud systems.
- Experience working on all aspects of enterprise-scale implementation for AI/GenAI solutions, including architecture, design, security, infrastructure, MLOps/GenAIOps.
- Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.
- Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.
- Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases.
- Employ technical knowledge and hands-on experience with Anthropic Claude, Llama models, and other AWS LLM foundational models, BERT, Transformers, etc.
- Have problem-solving abilities combined with good communication skills.
- Deploy knowledge of AWS DevOps, YAML, Shell scripting, Terraform, and pipelines.
- Understand how to fine-tune models, quantize models, and deploy models.
- Design integrations between various cloud-based services through APIs, keeping modular designs in mind.
- Apply knowledge of data engineering tools and technologies and understanding of concepts such as big data and data pipelines.
- Scope, manage, and drive complex GenAI projects and programs to successful completion.
- Design and implement GenAI frameworks and patterns tailored to specific needs.
- Architect and lead the implementation of GenAI use cases, projects, and POCs.
- Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks.
- Utilize best practices and creativity to address challenges and deliver impactful solutions.
- Conduct market research, formulate perspectives, and communicate insights to stakeholders.
- Establish strong client relationships, gaining insights into project requirements and challenges.
- Communicate complex technical concepts clearly to non-technical audiences.
- Handle data sets of varying complexity, processing massive data streams in distributed computing environments.
- Apply business acumen to analyze data, develop insightful reports, and solve problems.
- Perform ad hoc analyses based on evolving business needs.
- Participate in the analysis and resolution of issues related to information flow and data content.
- Collaborate with data stakeholders to address challenges and enhance data quality.
- Mentor junior data scientists and GenAI engineers, fostering professional growth within the team.
- Conduct training sessions to enhance overall skills within the organization.
- Minimum of 5 years of experience in AI/ML, with a focus on generative models.
- Proven track record of successfully implementing GenAI projects in real-world settings.
- Experience in managing the end-to-end lifecycle of GenAI 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.
- Experience in optimizing vector queries.
- Proficiency in SQL.
- Familiarity with natural language processing (NLP) concepts.
- 1+ years of experience architecting high-impact GenAI solutions for diverse projects.
- 10+ years of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Generative AI, AI/ML, ML Ops.
- 3+ years of experience using Python.
- Experience with deploying and managing AI models at scale.
- Demonstrates sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.
- Exhibits strong teamwork, consistently performing as a dependable team member with an excellent work ethic.
- Maintains a flexible “can-do” attitude and a commitment to success.
- Professional verbal and written communication.
- Undergraduate or Graduate degree preferred.
Job Description:
Pay Range: $90.50hr - $95.50hr
Responsibilities:About the company
We are a team of technical visionaries who joined forces to form a company that would gather the best and brightest talent in the world. The company uses this talent to help other organizations fulfill their technological dreams and goals and make them a reality. Welcome to Cynet Systems Inc. – a premier staffing and recruiting company – a nationally and locally certified diversity firm.