Position Summary
VY Systems is seeking an experienced, highly technical, and accomplished AI Architect with Snowflake expertise to join our client engagement team on an onsite contract basis in Plainsboro, NJ (strictly local C2C candidates only). In this specialized artificial intelligence and cloud data architecture role, you will spearhead designing, deploying, and optimizing enterprise-grade AI models, machine learning pipelines, and large-scale data platforms leveraging Snowflake’s Data Cloud. You will work closely with C-suite executives, enterprise data engineers, software architects, and business stakeholders to translate complex business challenges into scalable, high-performance AI solutions. Ideal candidates bring a robust academic degree in computer science or artificial intelligence, deep practical mastery of generative AI frameworks, Snowflake Cortex, Snowpark, and immediate availability for local onsite deployment in Plainsboro.
Detailed Job Description
As an AI Architect with Snowflake at VY Systems, you will take full ownership of end-to-end artificial intelligence architecture design, Snowflake data platform integration, model deployment pipelines, and AI governance. Your day-to-day responsibilities encompass architecting secure LLM integration workflows, building high-performance data pipelines with Snowflake Snowpark, optimizing vector search and retrieval-augmented generation (RAG) systems, and establishing enterprise AI security standards. You will collaborate proactively with data engineers, DevOps teams, and client stakeholders to ensure seamless cloud deployment and operational excellence. Working in a fast-paced technology consulting environment, you will drive digital transformation and AI innovation.
Key Responsibilities
- Design, architect, and implement enterprise-grade artificial intelligence and machine learning solutions integrated with Snowflake’s Data Cloud.
- Spearhead the deployment of generative AI models, large language models (LLMs), and retrieval-augmented generation (RAG) architectures utilizing Snowflake Cortex and Snowpark.
- Build, optimize, and scale robust data pipelines, data warehouses, and vector storage repositories within Snowflake.
- Collaborate proactively with data engineering, DevOps, and software development squads to ensure secure and performant AI model serving.
- Establish enterprise AI governance frameworks, data privacy controls, and security compliance protocols.
- Conduct technical workshops, architecture reviews, and feasibility assessments for client stakeholders in Plainsboro, NJ.
- Optimize cloud infrastructure costs, query performance, and compute resource allocation across Snowflake and cloud environments.
- Maintain comprehensive technical documentation, architecture blueprints, AI model registries, and integration runbooks.
- Ensure strict adherence to corporate security guidelines, data protection regulations, and enterprise governance standards.
- Coordinate onsite work schedules and client engagement deliverables in Plainsboro, New Jersey, adhering to local C2C contract requirements.
Required Qualifications & Skills
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical discipline.
- Minimum 10+ years of professional software engineering, enterprise architecture, and technical leadership experience.
- Strong, demonstrated expertise in artificial intelligence architecture, machine learning model deployment, and cloud data platforms.
- Extensive hands-on experience designing and optimizing data architectures utilizing Snowflake (Snowpark, Snowflake Cortex, data sharing, virtual warehouses).
- Proven proficiency in generative AI frameworks, vector databases, prompt engineering, and RAG implementation.
- Strong proficiency in Python, SQL, and modern AI/ML libraries (PyTorch, TensorFlow, LangChain, LlamaIndex).
- Exceptional stakeholder management, technical presentation, and cross-functional leadership capabilities.
- Professional availability for local onsite contract employment in Plainsboro, NJ (Application email: kayalvizhi@vysystems.com; C2C Local Only).
Nice-to-Have Skills
- Professional certifications such as Snowflake SnowPro Advanced Architect, AWS Certified Machine Learning Specialty, or Google Cloud Professional Machine Learning Engineer.
- Hands-on experience with MLOps platforms (MLflow, Kubeflow, DataRobot) and CI/CD automation for AI models.
- Prior working experience in tier-1 technology consulting firms, enterprise healthcare, financial services, or pharmaceutical data environments.
- Advanced knowledge of vector search indexing and approximate nearest neighbor (ANN) algorithms.
- Bilingual proficiency in English and regional languages.
Application Information
- Salary/Rate: Competitive C2C market rate commensurate with experience
- Deadline: Open until filled
- Notice Period: Immediate to short notice preferred
- Contract Duration: Contract-to-Contract (C2C – Local Onsite in Plainsboro, NJ)
Recruitment Pro Tip
When applying for senior AI architect roles with Snowflake, ensure your resume explicitly highlights your enterprise RAG implementation scale, Snowpark utilization depth, and Snowflake data cloud architecture track record.