​Artificial Intelligence / LLM Solutions Lead – Energy Company - Contract role

The AI / LLM Solutions Lead will design, build, and operationalise AI capabilities within a major energy company’s Data team. The role focuses on delivering an LLM-based Sales Call Quality Assurance (QA) solution, creating a repeatable AI architecture, and uplifting team capability.

• Contract role - 3 months rolling

• Largely remote

• Outside IR35

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Key Responsibilities

• Evaluate LLM model options and recommend a preferred approach.

• Tune models and optimise prompts to improve accuracy.

• Implement continuous monitoring for performance, drift, and cost, with alerting integrated into existing tools.

• Lead deployment and integration of models into production.

• Design a scalable, repeatable architecture for multiple AI use cases.

• Ensure the design supports the Sales QA solution, minimises technical debt, and adapts to future needs.

• Provide model-strategy recommendations (e.g., one large model vs multiple smaller models with triage).

• Bring external best practices into the Data AI function.

• Enable team members to replicate the development approach for future LLM use cases.
  

Must have experience in the following:

• Hands-on experience building and deploying LLM or generative AI solutions in production.

• Strong understanding of model selection, fine-tuning, prompt engineering, and evaluation methods.

• Python, SQL, dbt, Airflow

• Understand how to frame prompts, evaluate outputs of LLMs, manage prompts with LangChain

• Platforms: Snowflake Cortex, AWS Bedrock

• Evaluate costs / performance advantages of models on Bedrock vs Snowflake, the size of the model, fine-tune smaller models

• Create logic for summarising calls transcripts, validate QA checklist

• Build evaluation framework

• Integrate LLM API to process text at scale via Snowflake Cortex or AWS Bedrock

• Build APIs on AWS to connect to other systems (slack, excel, kraken)

• Implement data security and governance practices to work with PII data

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If this sounds like an opportunity you are interested in, apply now for an immediate review!