K-Tek Resourcing LLC
K-Tek Resourcing LLC

Agentic AI Delivery Lead/REMOTE

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract W2
Contract Independent
Contract Corp To Corp
12 Months
No Travel Required
Able to Sponsor
Remote
$75 - $80/hr
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Job Details

Skills

  • Amazon Web Services
  • Analytics
  • Cloud Computing
  • Customer Relationship Management (CRM)
  • Amazon S3
  • Data Engineering
  • Data Processing
  • Communication
  • Continuous Integration
  • Data Migration
  • Machine Learning (ML)
  • Lifecycle Management
  • LangChain
  • Large Language Models (LLMs)
  • Estimating
  • Generative Artificial Intelligence (AI)
  • Master Data Management
  • Kubernetes

Summary

Role Overview
We are seeking an experienced Agentic AI Delivery Lead to drive enterprise-scale Agentic AI, Generative AI, Data Management, and Data Modernization programs. The role combines delivery leadership, solution architecture, cloud transformation, and stakeholder management to build secure, scalable, production-grade AI and data platforms on AWS. Property & Casualty (P&C) Insurance experience is preferred.
Key Responsibilities
Agentic AI Strategy and Delivery
  • Lead end-to-end delivery of Agentic AI and Generative AI initiatives from discovery and solutioning through deployment, adoption, and production support.
  • Design and oversee autonomous and multi-agent solutions using large language models, retrieval-augmented generation, reasoning workflows, tool integration, and orchestration frameworks.
  • Define AI transformation roadmaps, delivery plans, success metrics, governance standards, risk controls, and reusable accelerators.
  • Guide the implementation of responsible AI practices covering security, privacy, explainability, human oversight, hallucination controls, and regulatory compliance.
Data Management and Data Modernization
  • Lead legacy-to-cloud data modernization, data migration, platform consolidation, and enterprise data transformation programs.
  • Define and implement data management capabilities across data governance, data quality, metadata management, master data management, data lineage, and lifecycle management.
  • Oversee modernization of data lakes, data warehouses, lakehouse platforms, analytics ecosystems, and real-time data processing solutions.
  • Ensure modern data foundations are scalable, trusted, secure, and ready to support AI, analytics, and reporting use cases.
  • Drive DataOps practices, reusable ingestion and transformation frameworks, and standardized ETL/ELT delivery patterns.
AWS Cloud and Engineering Leadership
  • Provide technical oversight for cloud-native data and AI platforms using AWS services such as S3, Glue, Redshift, EMR, Lambda, Step Functions, Lake Formation, SageMaker, DynamoDB, ECS/EKS, IAM, and CloudWatch.
  • Drive architecture decisions across data engineering, APIs, microservices, event-driven integration, containerization, infrastructure as code, and cloud security.
  • Establish CI/CD, DevOps, MLOps, observability, reliability, performance, and cost-optimization practices for production workloads.
  • Partner with architects and engineering teams to develop scalable reference architectures and engineering standards.
Program and Stakeholder Leadership
  • Manage cross-functional global teams including AI Engineers, Data Engineers, Data Scientists, Architects, Product Owners, Business Analysts, QA, DevOps, and domain SMEs.
  • Own program planning, estimation, budgeting, staffing, delivery governance, dependency management, risk mitigation, and executive reporting.
  • Facilitate business and technology workshops to identify high-value AI and data modernization opportunities.
  • Communicate roadmaps, architecture decisions, delivery status, risks, and business outcomes to senior stakeholders and clients.
  • Mentor teams and promote engineering excellence, delivery discipline, innovation, and reusable solution patterns.
P&C Insurance Transformation
  • Partner with underwriting, claims, policy administration, actuarial, billing, risk, and customer-service teams to identify AI-led transformation opportunities.
  • Lead data modernization and AI initiatives supporting underwriting automation, claims intelligence, fraud detection, pricing analytics, risk insights, and customer servicing.
  • Align delivery with insurance data standards, governance expectations, privacy requirements, and regulatory controls.
Required Qualifications
  • 12+ years of experience across Data and Analytics, AI/ML, Cloud Transformation, Enterprise Architecture, or Digital Transformation.
  • 5+ years of experience leading large-scale data modernization, data management, cloud, AI, or analytics programs.
  • Proven experience delivering enterprise AI, Generative AI, or Agentic AI solutions into production.
  • Strong delivery leadership experience across globally distributed, cross-functional teams.
  • Hands-on understanding of modern data architectures, data engineering, cloud-native design, APIs, security, DevOps, DataOps, and MLOps.
  • Strong executive communication, client management, solutioning, estimation, governance, and risk-management skills.
Technical Skills
  • Agentic AI and GenAI: Agentic workflows, multi-agent systems, LLMs, RAG, embeddings, vector databases, knowledge graphs, prompt engineering, LangGraph, LangChain, CrewAI, AutoGen, and Semantic Kernel.
  • Data Management: Data governance, data quality, metadata management, master data management, data lineage, reference data, privacy, security, and lifecycle management.
  • Data Modernization: Cloud migration, data migration and conversion, legacy modernization, data lakes, data warehouses, lakehouse architecture, ETL/ELT, streaming, and platform consolidation.
  • AWS: S3, Glue, Redshift, EMR, Lambda, Step Functions, Lake Formation, SageMaker, DynamoDB, ECS/EKS, IAM, CloudWatch, and infrastructure as code.
  • Data Platforms: Databricks, Snowflake, Spark/PySpark, Kafka, Delta Lake, Python, and SQL.
  • DevOps and MLOps: CI/CD, Git, Jenkins or GitHub Actions, Docker, Kubernetes, Terraform or CloudFormation, model deployment, monitoring, and observability.
Preferred Qualifications
  • Property & Casualty (P&C) Insurance experience, including exposure to policy, claims, underwriting, actuarial, billing, risk, or insurance data ecosystems.
  • Experience leading data migration, data management, or platform modernization programs within insurance organizations.
  • Familiarity with Guidewire, Duck Creek, or other insurance core platforms.
  • Experience with AI governance, model risk management, responsible AI, and regulated enterprise environments.
  • PMP, SAFe, Scrum, AWS Solutions Architect, AWS Data Engineer, AWS Machine Learning, or relevant AI/data certifications.
  • Business value realization and outcome measurement
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10411276
  • Position Id: 9093711
  • Posted 4 hours ago

Company Info

About K-Tek Resourcing LLC

Vision

To be a trusted partner and advisor to our customers

Mission

At K-Tek we believe in understanding the specific needs of the customer and tailor-creating innovative solutions to meet these needs. We invest in our employees and customers. We build a relation of trust with our customers through empathy, solutions and being the first time right.

Who We Are & What We Do

K-Tek Resourcing is a consulting organization with offices in Houston TX and St. Paul, MN. It is supported by 2 global delivery centers, located in India. With its global employee strength of over 250, K-Tek has been supporting its clients for over 9 years. We have been consistently achieving a growth of 30% Year on Year. We have an extensive experience of working in domains including BFSI, Retail, Healthcare and Pharma, Oil & Gas, Travel & Hospitality and Insurance. The technologies we service are IT Infrastructure, Mobile Technologies, Cloud & Big Data Solutions. We understand the needs of our customers and provide them with customized solutions and resources with the tenet of being the "First Time Right".

Values

-Commitment to our customers success through Integrity

-Excellence through Quality

-Growth through customer value creation

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Axad Dubey

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