Lead Gen AI and Data Engineer | Must work on W2

Role: Lead Gen AI and Data Engineer
Location: Charlotte, NC

Role Overview:

• Client is seeking a hands-on Lead GenAI Agentic AI Engineer to design and build intelligent, enterprise-grade AI agents using Google ADK and LangChain/LangGraph.
• This role combines advanced LLM application development with strong data engineering expertise, enabling agents to seamlessly interact with multiple Systems of Record (SoRs) through robust data pipelines and integrations.
• The ideal candidate will own the end-to-end lifecycle from designing agent workflows and integrating enterprise data, to deploying scalable, production-ready solutions with strong observability, governance, and performance optimization.

Key Responsibilities:

• Design and develop Agentic AI systems using Google ADK, LangChain, and LangGraph, including multi-agent orchestration, state management, and tool integration leveraging enterprise approved LLMs.
• Integrate agents with enterprise Systems of Record (SoRs) by building reliable data pipelines, APIs, and connectors across structured and unstructured sources.
• Integrate organization-approved foundation models (like Anthropic, Google Gemini etc.) into Agentic task-based workflows.
• Partner with Process Excellence and Ops teams to ideate and implement AI copilots and AI Agents for business functions.
• Develop scalable Python-based services for agent workflows, incorporating RAG, tool calling, memory, and structured outputs.
• Engineer data ingestion and transformation pipelines (batch/streaming) to enable high-quality, governed data access for AI agents.
• Write and optimize complex SQL queries for analytics, feature extraction, and real-time agent decisioning.
• Implement observability, evaluation, and guardrails across both data and AI layers, ensuring performance, quality, compliance, and cost efficiency.
• Use SQL, Python, and cloud-native tools (Google Cloud Platform, Azure, or AWS) to ensure data quality and lineage.

Lead Gen AI and Data Engineer Qualifications: Mandatory Skills:

• 5 plus years in Gen AI, AI Data Engineering, and Agentic AI-focused roles.
• Advanced Prompt Engineering, Context Engineering skills, Python skills.
• Hands-on experience building agentic AI solutions using Google ADK LangChain/LangGraph, including orchestration and tool usage patterns.
• Strong Python development skills for backend services, workflow engines, and AI pipelines.

Solid data engineering expertise:

• Building ETL/ELT pipelines
• Integrating data from multiple SoRs (APIs, DBs, files, streams)
• Working with data quality, schema evolution, and lineage
• Advanced SQL proficiency (complex joins, window functions, query optimization).
• Experience with RAG architectures and integrating LLMs with enterprise data sources (vector stores relational systems).
• Production-grade engineering practices: testing, CI/CD, logging, monitoring, and error handling.

Desired Skills:

• Experience with modern data stack tools (e.g., dbt, Airflow/Composer, Kafka/PubSub, BigQuery/Snowflake).
• Familiarity with vector databases and hybrid retrieval strategies.
• Experience deploying solutions on Google Cloud Platform (preferred) or other cloud platforms with scalable architectures.
• Knowledge of data governance, security, and PII handling in AI/data pipelines.
• Exposure to LLMOps frameworks (evaluation, prompt/version management, tracing, cost optimization).
• Experience implementing guardrails and safety controls for enterprise AI agents.

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Asher Williams
Desk: 2o1.497.1o1o X:1o5 | Direct: 551.272.o129
asher (at) pullskill dot com