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Director, Consult Partner- Agentic Management Services; AMS

Job in Carson City, Douglas County, Nevada, 89702, USA
Listing for: Kyndryl
Full Time position
Listed on 2026-05-15
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Director, Consult Partner- Agentic Application Management Services (AMS)

Who We Are

At Kyndryl, we design, build, manage and modernize the mission‑critical technology systems that the world depends on every day. We are always moving forward, pushing ourselves to build a more equitable, inclusive world for our employees, customers and communities.

The Role

Kyndryl Consult is the fastest‑growing business within the organization and instrumental to the company's strategic growth objectives. We are expanding every day to meet more clients and help solve their most challenging technology problems. Many of these challenges center on reliable and affordable maintenance of existing applications and on harnessing the transformative potential of agentic AI to fundamentally change how that work gets done.

As the paradigm shifts with AI, companies need to free their business resources to focus on creating the future – not maintaining the past. They expect managed providers to deploy intelligent, autonomous agents that proactively monitor, triage, remediate and optimize application estates with minimal human intervention. They also look to trusted advisors who can guide them through this agentic transformation safely and at scale.

We are expanding our capability to support these clients and need leaders on the team. As a Consult Partner, you will play a key leadership role – working with targeted clients to identify application support opportunities, guiding them through complex consulting engagements, and positioning strategic, AI‑driven change agendas within Kyndryl's largest accounts across the C‑suite.

A core differentiator of this role is your ability to articulate, architect and sell the value of agentic AI within application management systems. You will help clients understand and adopt a new operational model where autonomous AI agents act as always‑on members of the support team – reasoning over system telemetry, executing multi‑step remediation workflows and escalating only the decisions that require human judgment.

Key Responsibilities
  • Drive significant financial outcomes through signings and revenue targets, with a focus on AI‑led application management deals that command premium positioning.
  • Support the identification, pursuit and conversion of a pipeline of business development opportunities centered on AI‑native AMS offerings.
  • Undertake scoping, service level and fee negotiation on engagements, containing risk while ensuring the commercial viability of autonomous AI delivery models.
  • Build and maintain deep relationships with client CXOs, positioning yourself as the trusted advisor for AI‑driven application management and autonomous operations strategy.
  • Translate complex application portfolios into differentiated, AI‑enabled managed services that drive measurable cost, performance and innovation gains.
  • Lead C‑level interactions and consulting initiatives that address the shift from traditional AMS to agentic, AI‑orchestrated application support models.
  • Demonstrate credibility and hands‑on experience advising on complex engagements – from agentic proof‑of‑concepts to full‑scale autonomous operations transformations.
  • Enhance client satisfaction, as measured by Net Promoter Score (NPS) and new relationship development; support the identification of client references for agentic AI delivery.
  • Run executive workshops and AI readiness assessments to help clients understand their current automation maturity and map a path to agentic operations.
  • Shape and close deals that transform traditional AMS run services into AI‑driven, outcome‑based operations.
  • Partner with clients to define modernization‑led AMS strategies – leveraging automation, policy as code, and agentic workflows to reduce run effort, improve reliability and accelerate business outcomes.
  • Ensure smooth handover from sales to transition and delivery teams and engage with Client and Delivery Partners to provide subject‑matter expertise for challenges and new opportunities.
  • Lead by example – fostering a culture of continuous personal and professional development, intellectual curiosity and innovation, particularly around emerging and differentiating agentic AI capabilities.
  • Challenge teams to experiment with and adopt new…
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