Senior AI Analytics & Prompt Engineering Lead

Jobtailor; Illinois; On-site; USD 180,000 - 260,000; Full time

Job summary

Jobtailor is seeking a senior leader to steer AI engineering teams in delivering GenAI solutions across hybrid cloud and edge environments. You will align the team with company goals, drive scalable system design, and champion best practices across CI/CD, testing, and incident management.

The role requires deep expertise in AI architectures, data ecosystems, and cross-functional project management in matrixed organizations, with a track record of delivering enterprise-grade AI products.

Qualifications

• :Extensive software engineering leadership in AI and software teams.
• :Track record delivering GenAI solutions and enterprise-scale products across hybrid cloud and edge environments.
• Experience delivering complex cross-functional digital projects in matrixed organizations.
• Proven experience with project management including charters, scheduling and planning.
• Excellent interpersonal skills to address sensitive issues and influence others.
• Strong project management, team leadership, communication, analytical and organizational skills.
• Experience delivering software at scale; CI/CD, testing, deployments, incident management.
• Knowledge of APIs, microservices, cloud/edge architectures for AI components.
• Enterprise data ecosystems, data pipelines and data objects expertise.
• Cloud platforms (Azure, AWS, GCP) and AI workloads (Foundry/SageMaker/Bedrock).
• Snowflake and Cortex AI compute capabilities knowledge.
• GenAI system design: prompts, tool use, memory, RAG, LoRA concepts.
• GenAI model types: LLMs, SLMs, multimodal.
• LangChain/LangGraph familiarity.
• MCP and A2A protocols familiarity.
• AI evaluation, benchmarking, optimization across open-source and commercial models.
• GenAI metrics, A/B testing, human-in-the-loop validation.

Responsibilities

• Provide strong technical leadership and clear direction to align team with company goals and deliver advanced AI projects.
• Manage resources to ensure on-time delivery of high-quality results.
• Oversee team performance and foster learning by addressing training needs.
• Establish and supervise engineering best practices for consistency and excellence.
• Own the quality of engineering products, ensuring robust, reliable solutions.

Skills

AI project delivery

GenAI solutions

project management

CI/CD

unit testing

integration testing

scalable system design

APIs

microservices

data pipelines

Tools

Azure Foundry

SageMaker

Bedrock

EC2

S3

Snowflake

Cortex

LangChain

LangGraph

MCP

A2A protocols

Job description

Jobtailor is seeking a senior leader to steer AI engineering teams in delivering GenAI solutions across hybrid cloud and edge environments. You will align the team with company goals, drive scalable system design, and champion best practices across CI/CD, testing, and incident management.

The role requires deep expertise in AI architectures, data ecosystems, and cross-functional project management in matrixed organizations, with a track record of delivering enterprise-grade AI products.