Location: Charlotte, NC
Salary: $69.00 USD Hourly - $74.00 USD Hourly
Description: Software Engineer - Agentic AI (Lead GenAI & Data Engineer)Location: Charlotte, NC (CIC - 1525 W W.T. Harris Blvd)
Hybrid: 3 days/week in office (Monday & Tuesday required). Team primarily based at CIC; Uptown location also acceptable.Employment Type: Contract (12 months; potential extension or conversion)
Line of Business: TCOO
Number of Openings: 1
Role OverviewWe are seeking a
Lead GenAI & Data Engineer to design, build, and scale intelligent, enterprise-grade
Agentic AI systems. In this role, you will work hands-on with
Google Agent Development Kit (ADK) and
LangChain/LangGraph to create AI agents that integrate deeply with enterprise
Systems of Record (SoRs) through reliable, governed data pipelines.
You will lead the end-to-end delivery of AI agent solutions-from architecture and workflow design to production deployment-while ensuring performance, observability, security, and compliance. This role requires strong collaboration with business, operations, and process excellence teams to deliver real-world AI copilots and agents with measurable business impact.
Key Responsibilities- Design and develop agentic AI applications using Google ADK, LangChain, and LangGraph, including:
- Multi-agent orchestration
- State and memory management
- Tool integration using enterprise-approved LLMs
- Integrate AI agents with enterprise Systems of Record by building and maintaining secure APIs, connectors, and data pipelines across structured and unstructured data sources.
- Incorporate organization-approved foundation models (e.g., Google Gemini, Anthropic) into task-oriented, agent-based workflows.
- Collaborate with Process Excellence, Operations, and business partners to identify, prototype, and implement AI agents and copilots.
- Build scalable, production-ready Python services supporting agent workflows, including RAG, tool calling, structured outputs, and memory.
- Engineer batch and streaming data pipelines to provide governed, high-quality data access for AI systems.
- Develop and optimize advanced SQL queries for analytics, feature extraction, and real-time agent decisioning.
- Implement observability, evaluation, guardrails, and cost controls across data and AI layers to ensure quality, reliability, compliance, and efficiency.
- Apply cloud-native tools and best practices (Google Cloud Platform preferred; Azure/AWS acceptable) to ensure data quality, lineage, and secure operations.
Minimum Qualifications- 5+ years of Software Engineering experience, or equivalent demonstrated through a combination of work experience, consulting, education, training, or military experience.
- 5+ years of hands-on experience in GenAI, Agentic AI, and AI/Data Engineering roles.
- Strong proficiency in Python for backend services, AI pipelines, and workflow orchestration.
- Hands-on experience building agentic AI solutions using Google ADK and LangChain/LangGraph.
- Advanced prompt engineering and context engineering skills.
- Solid data engineering background, including:
- Building ETL/ELT pipelines
- Integrating data from APIs, databases, files, and streaming sources
- Managing data quality, schema evolution, and lineage
- Advanced SQL skills (complex joins, window functions, query optimization).
- Experience implementing RAG architectures and integrating LLMs with enterprise data sources (vector stores and relational systems).
- Experience delivering production-grade systems, including testing, CI/CD, logging, monitoring, and error handling.
- Ability to consult on complex, large-scale initiatives, evaluate ambiguous problems, and collaborate strategically with cross-functional stakeholders.
Preferred Qualifications- Experience with modern data stack tools such as dbt, Airflow/Cloud Composer, Kafka/Pub/Sub, BigQuery, or Snowflake.
- Familiarity with vector databases and hybrid retrieval strategies.
- Experience deploying scalable solutions on Google Cloud Platform (preferred).
- Knowledge of data governance, security, and PII handling within AI and data pipelines.
- Experience with LLMOps practices, including evaluation frameworks, prompt/version management, tracing, and cost optimization.
- Experience implementing AI safety, guardrails, and risk controls in enterprise environments.
Additional Information- Work Authorization: As applicable per contract requirements
- Supplier Requirements:
- All resumes must be submitted via Beeline to be considered
- No direct outreach or resume solicitation to the hiring manager while the role is open
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact: This job and many more are available through The Judge Group. Please apply with us today! 
Never miss an opportunity! Create an alert based on the job you applied for.