Onsite AI Client Partner Enterprise Architect

Kyndryl•No City (KUS51413) Florida Default WKL, FL

7d•$179,760 - $341,520•Onsite

About The Position

Kyndryl is seeking a highly skilled and client-focused Onsite AI Enterprise Architect to join our dedicated customer engagement team. This role is embedded within a strategic client environment in South Florida, serving as a trusted advisor and technical leader throughout the client's AI transformation journey. The successful candidate will represent Kyndryl on-site with the client, in South Florida. You will work closely with executive stakeholders, business leaders, and technical teams to translate business objectives into scalable, enterprise-grade AI solutions that deliver measurable business value. As the Onsite AI Enterprise Architect, you will lead the development of AI strategies, reference architectures, and solution roadmaps that align with the client's business priorities and technology landscape. Rather than developing proprietary AI platforms, Kyndryl serves as a trusted consultant, systems integrator, and orchestrator, helping clients evaluate, select, and integrate leading technologies from hyperscalers, frontier AI providers, and enterprise technology vendors. You will guide architectural decisions that maximize innovation while maintaining security, governance, scalability, and operational excellence. Working as part of an existing client-facing account team, you will collaborate with client executives, enterprise architects, data teams, cybersecurity professionals, application owners, and infrastructure specialists to identify high-value AI opportunities. You will facilitate discovery workshops, assess AI readiness, define solution architectures, and oversee the integration of AI capabilities into existing enterprise systems. Success in this role requires balancing strategic vision with practical execution while building strong, trusted relationships across both business and technical organizations. The ideal candidate possesses deep expertise in enterprise architecture, cloud platforms, AI and machine learning ecosystems, data architecture, and modern integration patterns. Experience working with major hyperscalers such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP), as well as emerging frontier AI providers and enterprise AI technologies, is essential. You should be comfortable evaluating rapidly evolving AI capabilities, recommending best-fit solutions, and leading cross-functional teams through complex digital transformation initiatives.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
10+ years of experience in enterprise architecture, solution architecture, or technology consulting.
Demonstrated experience developing AI or machine learning strategies for enterprise organizations.
Strong knowledge of cloud platforms including Azure, AWS, and Google Cloud.
Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI orchestration frameworks, and enterprise AI platforms.
Experience integrating multiple technology vendors into cohesive enterprise solutions.
Strong understanding of enterprise architecture frameworks, integration patterns, APIs, data architecture, cybersecurity, and governance.
Excellent executive communication, presentation, facilitation, and stakeholder management skills.
Ability to translate complex technical concepts into clear business value for executive audiences.
US citizens only due to government contract.

Nice To Haves

Experience with AI governance, responsible AI frameworks, and enterprise AI security.
Experience working with Fortune 500 organizations in a client-facing consulting capacity.
Knowledge of industry AI platforms from Microsoft, Google, AWS, OpenAI, Anthropic, NVIDIA, Databricks, Snowflake, ServiceNow, Salesforce, SAP, and other enterprise technology providers.
Enterprise architecture certifications such as TOGAF, AWS Certified Solutions Architect, Microsoft Azure Solutions Architect, Google Professional Cloud Architect, or equivalent.
Experience leading multidisciplinary architecture teams across complex enterprise environments.

Responsibilities

Serve as Kyndryl's primary AI architecture advisor for a strategic enterprise client.
Develop enterprise AI strategies, reference architectures, and implementation roadmaps aligned with business objectives.
Partner with executive stakeholders, business leaders, and technical teams to identify, prioritize, and deliver high-value AI use cases.
Lead architecture design sessions, AI discovery workshops, and executive strategy discussions.
Evaluate and recommend solutions across Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), OpenAI, Anthropic, NVIDIA, and other emerging AI technology providers.
Design secure, scalable, and governed AI architectures that integrate with the client's existing applications, data platforms, and infrastructure.
Collaborate with Kyndryl delivery teams, partner organizations, and client technical teams to successfully implement AI solutions.
Establish enterprise AI governance, security, responsible AI practices, and operational frameworks.
Stay current on rapidly evolving AI technologies, industry trends, and emerging best practices to continuously advise the client on innovation opportunities.
Build trusted executive relationships and serve as a strategic advisor throughout the client's AI transformation journey.