Data Scientist /

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Zenius Corporation, is seeking the following. Apply via Dice today!

Principal GenAI Data Scientist

Duration: 3 months Start: ASAP Location: Onsite

Description

We are seeking a highly experienced Principal GenAI Data Scientist to lead the design and development of AI agents, agentic workflows, and production GenAI applications that solve real business problems. You ll be a hands-on technical leader who partners with full-stack engineers, designers, product managers, and data engineers to ship secure, reliable, and scalable GenAI solutions.

Responsibilities • Architect & build AI agents, agentic workflows, and end-to-end GenAI apps for diverse enterprise use cases. • Develop, fine-tune, and evaluate LLMs (e.g., Claude/Anthropic, Azure OpenAI, and OSS) and select the right model per use case (cost/latency/quality). • Design & deploy RAG and Graph-RAG systems using vector stores and knowledge bases; implement semantic chunking, metadata enrichment, and privacy controls. • Implement embeddings pipelines and integrate with vector stores (e.g., AWS Knowledge Bases/Bedrock, Elastic, MongoDB Atlas). • Leverage MCP (Model Context Protocol) and A2A (agent-to-agent) patterns to compose multi-agent solutions. • Build notebooks & services in Python/Jupyter; use SageMaker and MLFlow/Kubeflow on EKS for training, tracking, and deployment. • Curate enterprise data via connectors; orchestrate multimodal ETL/ELT (PDF/audio/video) with Spark/PySpark. • Integrate GenAI capabilities into enterprise platforms via APIs and standardized GenAI patterns. • Establish evaluation & safety: define automatic evals, bias testing, guardrails, and deployment readiness criteria. • Collaborate cross-functionally with UI/microservices teams to deliver polished, production solutions and measurable business value. • Document & mentor: codify patterns, playbooks, and best practices for repeatable delivery.

Must-Have Qualifications • Hands-on ML to GenAI transition with demonstrated delivery of AI agents/agentic workflows. • Deep experience with RAG (documents to vectors, retrieval, synthesis) and Graph-RAG. • Strong Python (Jupyter) and modern ML stack (Transformers, LangChain/LlamaIndex or similar). • Practical use of MCP and A2A communication patterns in real workflows. • Cloud-native AI on AWS (SageMaker, Bedrock; MLFlow/Kubeflow on EKS). • Vector databases/knowledge bases (AWS Knowledge Bases/Bedrock, Elastic, MongoDB Atlas, etc.). • Proven prompt engineering, fine-tuning, evaluation frameworks, and guardrails/safety implementation. • Built and deployed GenAI apps to production (latency, cost, observability, rollback, safety). • Strong data engineering fundamentals: ingestion, chunking, enrichment, anonymization, and governance.

Required Experience • 10+ years in AI/ML with 3+ years focused on applied GenAI/LLM solutions. • Prior software engineering experience and ability to partner closely with full-stack teams. • GitHub repository link required for consideration (please include recent GenAI/agent work).

Preferred Qualifications • Publications or patents in AI/ML/LLM. • Experience with enterprise AI governance and ethical deployment. • CI/CD for MLOps and scalable inference APIs; observability and evaluation in production. • Experience designing business use cases from problem framing through measurable outcomes.

Nice to Have (Role-Aligned Extras) • Multi-modal models (text/image/audio/video) and tool-use/function-calling. • Knowledge graphs for Graph-RAG; retrieval policy and query plannin • g. • GenAI architectural patterns (routing, orchestration, distillation, hybrid search) • BENEFITS Zenius Corporation is an employee-oriented company. Join us now and help us grow!

We offer a competitive benefits package that includes paid holidays and paid time off, medical insurance including health, vision, dental insurance, 401K matching, Flexible Spending Account and flexible schedules, as per business needs. We also work with our employees on training and professional certification plans that benefit the employee.

EQUAL OPPORTUNITY EMPLOYER:

Zenius Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Zenius complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Zenius Corporation expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status