Full Time GenAI Architect onsite Santa Clara

Role: The Architect Generative AI (Use Case Specialist)

Location: Santa Clara, CA. (ONSITE

Job Type: Full Time

Purpose of the Role

The Architect Generative AI (Use Case Specialist) is a deep technical expert responsible for solving one specific business use case end-to-end. The role demands mastery in the chosen area, combined with hands-on expertise in Generative AI platforms (SASVA and others), cloud-native architectures, and modern engineering practices.

The Architect will perform deep research and experimentation to create an optimized solution, document it as a playbook, and transfer knowledge across delivery teams. This ensures the solution can be scaled and reused consistently across the organization, accelerating delivery while maintaining quality.

Key Responsibilities

• Design and deliver a comprehensive solution for the assigned use case using SASVA and complementary tools.
• Conduct research, prototyping, and experimentation to identify the most optimized approach.
• Document the solution in the form of reference architectures, frameworks, and playbooks.
• Provide hands-on support to delivery teams implementing the same use case.
• Transfer knowledge through mentoring, training sessions, and well-documented assets.
• Continuously evaluate latest advancements in technology and GenAI for applicability to the use case.

Target Use Cases

We are looking for specialist Architects in the following areas:

• Reverse Engineering
• Java Upgrade (lower to higher versions)
• COBOL Migration
• Data Migration
• Monolith to Microservices
• Cloud Migration
• Angular Migration
• .NET Migration

Candidates should apply based on their deep expertise in at least one of these areas.

Technical Competencies

• Deep expertise in one business use case (as listed above).
• Strong proficiency with Generative AI platforms (SASVA, OpenAI, Anthropic, HuggingFace, LangChain, RAG, LLMOps).
• Hands-on coding and solutioning in Python, Java, .NET, or Node.js.
• Experience with cloud-native architectures, microservices, APIs, and integration patterns.
• Knowledge of data engineering, migration frameworks, and automation tools.
• Familiarity with secure design principles and compliance considerations in AI-enabled solutions.

Behavioral Competencies

• Thought Leadership Ability to define and articulate a clear solution vision for the use case.
• Continuous Learning Stays ahead of technology and AI trends to apply the latest advancements.
• Hands-On Problem Solver Builds, experiments, and validates solutions directly.
• Knowledge Sharing Creates reusable playbooks and actively mentors teams.

Qualifications

• 8 12 years of experience in technology roles, with deep specialization in one use case area.
• 3+ years of experience in AI/ML/Generative AI-based projects.
• Proven track record of end-to-end solution delivery for complex technical problems.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Relevant certifications in cloud platforms, AI, or migration tools preferred.

Why This Role Matters

This role ensures the organization develops repeatable, high-quality solutions for critical modernization and transformation challenges. By combining deep specialization, hands-on problem-solving, and knowledge sharing, the Architect acts as a force multiplier-accelerating delivery, ensuring consistency, and enabling large-scale adoption of Generative AI driven approaches.