Enterprise Transformation Leader
YOCHANA, LLC
Stone Park, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Stone Park, United States of America
Tech stack
Java
.NET
API
Artificial Intelligence
Architectural Patterns
Cloud Computing
Systems Development Life Cycle
Systems Architecture
Enterprise Software Applications
Large Language Models
Operational Systems
Virtual Agents
Legacy Systems
Microservices
Job description
- We are looking for a high-caliber Product Engineering Leader to be embedded onsite with our client.
- This is not a coordinator role. This is a builder's role.
- You will work at the intersection of Business, Product, and Engineering - shaping ideas, architecting scalable solutions, and driving flawless execution. You will operate across technology stacks, leverage Agentic AI capabilities, and ensure delivery excellence from concept to production.
What You Will Do:
- Partner directly with client leadership to identify opportunities and shape solution pathways
- Translate business outcomes into scalable product and system architecture
- Architect and build enterprise-grade applications across .NET, Java, or similar stacks
- Embed Agentic AI capabilities into workflows, products, and operational systems
- Own end-to-end PDLC/SDLC execution with strong governance and best practices
- Drive delivery rigor: scope clarity, design discipline, engineering quality, and release excellence
- Mentor teams and elevate engineering standards
- Act as the single accountable leader onsite to "make it happen"
Requirements
- Strong ability to connect business goals with product design and technical architecture
- Experience shaping MVPs, scaling platforms, and modernizing legacy systems
Hands-on Engineering Strength
- Proven experience in enterprise application development (.NET, Java, or similar ecosystems)
- Strong understanding of architecture patterns, microservices, APIs, cloud-native systems
- Deep knowledge of SDLC/PDLC best practices and delivery governance
Agentic AI Capability
- Practical experience using LLMs and Agentic AI frameworks in production environments
- Ability to design AI-augmented workflows and intelligent automation systems
- Understanding of orchestration, guardrails, observability, and evaluation
Execution Track Record
- Demonstrated success delivering complex transformation programs
- Experience working onsite with enterprise clients
- Strong ownership mindset with measurable delivery impact
Leadership & Communication
- Exceptional communication skills - structured, clear, and executive-ready
- Ability to influence stakeholders across CXO, product, and engineering levels
- High energy, accountability, and a bias for action