Technical Program Manager - Complex Programs

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

Kyndryl is the world's leading IT infrastructure services provider, designing, building, managing, and modernizing the mission-critical technology systems that the global economy depends on every day. Within our Applications and Enterprise Data organization, our teams engineer, deploy, and scale high-impact production solutions that solve our clients' most demanding digital challenges.

We are seeking a Technical Program Manager, Complex Programs to direct and govern large-scale, enterprise delivery engagements. In this role, you will take operational ownership of mission-critical production rollouts, serving as the bridge between high-velocity engineering streams and executive customer leadership. You will functionally orchestrate multi-disciplinary engineering talent across software, cloud, and advanced artificial intelligence disciplines to deliver transformative outcomes on schedule.

This is a high-visibility, post-deal delivery role based on customer premises in West Palm Beach, Florida. You will operate in a collaborative on-site environment, directly interfacing with senior enterprise stakeholders to drive governance, manage milestones, resolve delivery bottlenecks, and ensure the realization of complex technical solutions.

• Direct end-to-end program governance, execution, and delivery realization across large-scale, mission-critical enterprise production engagements.
• Build, monitor, and optimize master program schedules, tracking dependencies across concurrent software, cloud, and AI engineering workstreams.
• Establish transparent delivery metrics, operational roadmaps, and status reporting cadences for both internal teams and executive client leadership.
• Drive production project timelines, scope realization, budget fidelity, and rigorous quality assurance across all engineering deliverables.

• Provide senior functional management and direction to multi-disciplinary technical teams without requiring direct organizational reporting lines.
• Guide cross-functional teams spanning backend software developers, AI/ML engineers, data architects, and cloud specialists through high-velocity sprints.
• Champion modern software engineering practices, agile methodologies, and continuous delivery disciplines across distributed development pods.
• Foster an inclusive, high-accountability delivery culture focused on technical excellence, teamwork, and continuous skill progression.

• Serve as the primary technical program point of contact directly embedded on customer premises in West Palm Beach, Florida.
• Steer executive-level steering committee meetings, articulate technical progress in straightforward business terms, and align project roadmaps with strategic objectives.
• Build trusted, durable relationships with customer leadership, architecture review boards, and operational stakeholders.
• Partner with client teams to navigate joint development milestones, approval cycles, and production integration environments.

• Proactively identify, track, and mitigate technical, architectural, and operational delivery risks before they affect project timelines.
• Formulate clear risk escalation frameworks and resolution workflows to address cross-system dependencies and roadblocks rapidly.
• Ensure all technical architectures and deployment pipelines adhere to enterprise-grade security, data governance, and operational compliance standards.
• Capture delivery patterns, retrospectives, and reusable assets to continuously enhance Kyndryl's global delivery capabilities.

• Based in the West Palm Beach, Florida area (or ready to relocate immediately) with an on-site/hybrid schedule working directly at the customer location.
• Demonstrated senior track record leading and delivering large-scale, complex production programs in enterprise environments.
• Proven experience providing functional management and technical direction across multi-disciplinary engineering teams without direct organizational reporting lines.
• Proven consultative ability to engage senior customer stakeholders, steer executive conversations, and manage delivery expectations on customer premises.
• Strong technical and functional program management acumen capable of guiding high-velocity software, cloud, and AI engineering streams.
• 4+ years of professional software engineering experience with strong proficiency in Python and JavaScript/TypeScript backend development.
• Hands-on experience building, designing, and deploying applications using modern frameworks and orchestrators (e.g., LangChain, AutoGen, or CrewAI) in production.
• Experience designing and maintaining modern frontend applications (React, Angular, or Vue), particularly handling streaming data or real-time query responses.
• Practical understanding and deployment experience with Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, Milvus, Qdrant, Chroma).
• Experience deploying containerized applications using Docker and Kubernetes to major cloud hyper-scalers (AWS, Azure, or GCP) and distributed computing architectures.
• Strong proficiency with SQL (PostgreSQL) and NoSQL databases, alongside solid data engineering tools such as Pandas and Spark.
• Deep familiarity with Git, GitHub, CI/CD pipelines, version control, and modern software delivery best practices.

• Experience managing multi-million-dollar customer production programs with multi-year timeframes and complex multi-team dependencies.
• Experience in professional services or client-facing delivery environments across Applications and Enterprise Data domains.
• Experience with LLM infrastructure tools such as LiteLLM gateways, prompt tracing platforms (e.g., Langfuse), or workflow managers (e.g., Temporal).
• Familiarity with open-source AI ecosystems (e.g., Hugging Face), agentic frameworks (e.g., LangGraph, Semantic Kernel), system prompt tuning, model fine-tuning, and vector search caching strategies (e.g., Redis).
• Experience using messaging queues or streaming platforms like Kafka or RabbitMQ, alongside familiarity with AI/ML frameworks like TensorFlow or PyTorch.
• Strong business acumen with the ability to translate complex business requirements into scalable AI solutions and communicate value to executive stakeholders.
• Willingness to travel and work on customer premises as required.
• Active professional certifications in major cloud hyper-scalers (AWS, Azure, GCP) or AI-specific development pathways.
• Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Informatics, or a related technical field (or equivalent practical work experience).