What are the responsibilities and job description for the Enterprise Architect position at Yochana?
Job Title: Enterprise Architect
Location: Boston, MA (Remote position but need with this city or MA State)
Full-Time
Looking for Technical person with development background and AI
Job Description
Role Summary:
- 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”
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 gand 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
What Success Looks Like
• Ideas converted into production-grade solutions
• Agentic AI embedded meaningfully - not as experimentation, but as value creation
• Clean architecture. Predictable delivery. High-quality releases.
• Client confidence and trust built through clarity and execution discipline