# KTek Resourcing — Agentic AI Delivery Lead

- Generated: 2026-09-26 09:12:04 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4472018402/
- Provider: LinkedIn
- Posting time: 23 hours ago
- Applicants: 82 applicants
- Work model/location: Remote — United States; 12+ month contract
- Compensation: Not disclosed for a non-Director/VP/Chief title
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: FAIL — 91%

## Evidence map and direct-match strengths

End-to-end agentic AI delivery, GenAI production systems, cloud transformation, Responsible AI, governance, adoption, security, privacy, and large-scale program leadership.

## Hard or material gaps

Compensation is undisclosed for a Lead title, outside Keith's Director/VP/Chief exception. The role is also a 12+ month contract rather than a disclosed long-term leadership position.

## Full normalized job description

Job Title: Agentic AI Delivery Lead
Contract Duration: 12+ Months
Location: Remote
Overview
We are seeking a senior Agentic AI Delivery Lead to lead enterprise-scale Agentic AI, Generative AI, Data Modernization and AWS Cloud Transformation initiatives. This role combines technical leadership, solution architecture, program delivery and executive stakeholder management to deliver secure, scalable, production-grade AI and data platforms.
P&C Insurance experience is preferred.
Key Responsibilities
Lead end-to-end delivery of Agentic AI and GenAI programs from strategy and solutioning through production and adoption.
Oversee LLM, RAG, multi-agent, tool-calling and AI orchestration solutions.
Lead enterprise data modernization, migration, data governance and platform transformation initiatives.
Provide technical direction across AWS, data engineering, APIs, microservices, event-driven architecture and cloud security.
Oversee modern data platforms including data lakes, warehouses, lakehouse, ETL/ELT and streaming architectures.
Establish DevOps, DataOps, MLOps, CI/CD, observability, security and cost-optimization practices.
Lead globally distributed teams of AI Engineers, Data Engineers, Architects, Data Scientists, Product Owners, QA and DevOps professionals.
Own program planning, estimation, staffing, governance, dependencies, risks and executive reporting.
Partner with senior business and technology stakeholders to define AI/data transformation roadmaps and business outcomes.
Drive responsible AI practices including security, privacy, explainability, human oversight and AI governance.
Required Skills
12+ years of experience across Data & Analytics, AI/ML, Cloud Transformation, Enterprise Architecture or Digital Transformation.
5+ years leading large-scale data, cloud, AI or analytics transformation programs.
Proven experience delivering GenAI or Agentic AI solutions into production.
Strong AWS experience with services such as S3, Glue, Redshift, EMR, Lambda, Step Functions, Lake Formation and SageMaker.
Strong understanding of RAG, LLMs, embeddings, vector databases, agent orchestration and multi-agent architectures.
Experience with modern data platforms such as Databricks, Snowflake, Spark/PySpark, Kafka, Delta Lake, Python and SQL.
Strong understanding of Data Governance, Data Quality, Metadata, Lineage, MDM and Data Lifecycle Management.
Experience with DevOps, DataOps, MLOps, CI/CD, Docker, Kubernetes and Infrastructure as Code.
Excellent executive communication, client management, estimation, governance and risk-management skills.
Preferred
P&C Insurance experience across Claims, Underwriting, Policy, Billing, Actuarial, Risk or Fraud.
Experience with Guidewire, Duck Creek or other insurance platforms.
Experience with LangGraph, LangChain, CrewAI, AutoGen or Semantic Kernel.
Experience with AI Governance, Responsible AI and Model Risk Management.
AWS, PMP, SAFe, Scrum or relevant AI/Data certifications