4 days ago
Base Salary
$144k - $328k/yr
Responsibilities
- Lead client discovery, AI readiness assessments, workshops, design sessions, and architecture reviews.
- Translate business needs into technical architectures, modernization roadmaps, and solution narratives for executive and technical audiences.
- Design cloud-native and AI-native architectures to modernize legacy and monolithic applications across public and private cloud environments.
- Build production-ready agentic AI proofs of concept, pilots, MVPs, and reference implementations.
- Define technical scope, assumptions, dependencies, estimates, risks, timelines, and team composition.
- Prepare statements of work, RFP responses, technical proposals, and commercial inputs.
- Lead technical due diligence and validate that proposed solutions are feasible and deliverable.
- Provide technical leadership from sales pursuit through implementation and partner with sales, consulting, legal, delivery, engineering, and specialist teams.
- Integrate AI agents with enterprise systems, including CRMs, ERPs, APIs, and data lakes.
- Stay current with AI, application, and cloud technologies through continuous learning and certification.
Requirements
- Bachelor’s degree in computer science, engineering, or a comparable discipline, or equivalent practical experience.
- At least eight years of hands-on experience in solution architecture, software engineering, or technical consulting focused on application architecture and modernization.
- At least two years of hands-on experience delivering production-grade agentic AI applications.
- Deep expertise in at least one specialization: public-cloud applications, edge and software-defined networks, mainframe modernization, cloud platform engineering, or private cloud.
- Advanced expertise with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent.
- Deep Python proficiency; TypeScript and Node.js experience is a plus.
- Experience with vector databases, embedding pipelines, practical RAG architectures, and enterprise-system integrations.
- Strong client-facing advisory, pre-sales, live-demo, and technical storytelling skills.
- Working knowledge of responsible AI, data privacy requirements, and enterprise security standards.
- Relevant cloud, networking, mainframe, Kubernetes, DevOps, or FinOps certifications are valued.
- Engineering consulting or professional-services experience and experience with large-scale modernization or transformation programs are desirable.
- Familiarity with enterprise AI governance and AI risk-management frameworks is desirable.
Benefits
- U.S. full-time compensation is listed at $143,640 to $273,000, with different ranges for specified locations; the role may also qualify for a discretionary annual bonus or sales commission plan.
- Comprehensive benefits may include medical and dental coverage, disability, retirement benefits, paid leave, and paid time off.
- Ongoing learning and certification opportunities, including access to Microsoft, Google, Amazon, Skillsoft, and other programs.
- Global travel of at least 25% to meet clients, lead workshops, and work with delivery teams.
- Applications are accepted on a rolling basis.
- Vaccination may be required when working at a client, customer, or partner location, subject to their policies and applicable accommodations.
Categories
Solutions Engineering
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.