Data and Generative AI Engineer

Data and Generative AI Engineer Job Sub Function

Intelligent Automation Engineering

New Brunswick, New Jersey, United States of America;
Raritan, New Jersey, United States of America

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team. The candidate will have a strong background in software development, data engineering, generative AI, and cloud technologies. Design, develop and deliver generative/agentic AI solutions that accelerate end‑to‑end data pipeline engineering activities. The position is located in Raritan, NJ and may require up to 10% travel.

• Design, develop, and maintain software solutions for the Data Technology Team.
• Collaborate with multi-functional teams to define, design, and ship new features.
• Implement data ingestion, transformation, and storage processes using tools equivalent to Databricks.
• Ensure data quality and integrity through meticulous testing and validation, applying intelligent automation principles for development, testing and release.
• Monitor system performance and solve issues to ensure optimal operation in line with expected SLAs.
• Participate in code reviews and contribute to continuous improvement initiatives, working with and guiding third‑party vendors.
• Stay up to date with emerging technologies and industry trends, applying this to the ecosystem.
• Own and lead proof of concepts and minimal viable products hands‑on.
• Present results, key insights and explain complex analysis in a simple manner to senior leaders across different functions to help drive data‑driven decision making and adoption. Leverage data visualization/dashboarding tools for interactive presentations.
• Work on projects of varying length and complexity in an agile manner with work prioritization and deadlines.
• Automate data pipelines and orchestrate workflows.
• Leverage and advance robust data architecture and cloud‑based technology stack to support production‑level work.
• Partner with multi‑functional teams.
• Keep up to date to apply latest technology trends in the areas of data technology and artificial intelligence, including generative AI.
• Adhere to and leverage procedures and standards as applicable.
• Ensure that all generative AI output adheres to rules and guidelines defined by legal, compliance and IT.

• Minimum of 4 years of relevant industry experience.
• Minimum of a bachelor’s degree or equivalent experience, preferably in Computer Science, Engineering, Data Science, Business Analytics, or a STEM field; master’s degree preferred.
• Ability to work and collaborate with a distributed team, innovate, and commit to common goals and achievements.
• Familiarity with large language models and generative AI concepts (LLMs, tokenization, prompt‑response behavior).
• Practical experience calling LLM APIs (OpenAI, Anthropic, or similar) and integrating responses into applications.
• Basic understanding of agentic architectures: planners, action executors, tool use, memory components, and feedback loops.
• Hands‑on experience building simple agent workflows or prototypes using an agent framework (e.g., Lang Chain, Llama Index, Haystack) or equivalent libraries.
• Competence in prompt engineering for multi‑step tasks and chaining prompts to implement simple planning/execution logic.
• Awareness of common failure modes for agents (hallucination, looped behavior, unsafe actions) and strategies to mitigate them (validation checks, guardrails).
• Knowledge of big data, data pipelining, machine learning, intermediate level of software development and automation skills.
• Ability to connect and partner with various team members (multi‑functional) to identify their needs and drive adoption of the solutions.
• Experience in handling compliance consistency, risk management and stakeholder commitments in large organizations.
• Strong Python skills with experience and aspiration to learn LLMs, RAG, agentic frameworks, and generative AI patterns.
• Familiarity with Databricks & lakehouse architecture – Unity Catalog, Delta Lake, Delta Live Tables, Databricks asset bundles, and cluster management.
• Familiarity with cloud platforms, AWS and Azure.
• Strong understanding…