Job Details

Generative AI Architect

  2025-11-04     Eros Technologies     San Francisco,CA  
Description:

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Hiring in United States for Long Term Contract (W2/C2C) & Full-Time Opportunities

JOB DESCRIPTION:

Title: Generative AI Architect

JobType: 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.

Mandatory Skills:

Python, Gen AI & Typescript

Target Use Cases:

We are looking for specialist Architects in the following areas:

  • Java Upgrade (lower to higher versions)
  • COBOL Migration
  • Data Migration
  • Monolith to Microservices
  • Angular Migration

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

  • 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.
  • 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.

Thanks & Regards,

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Design, Art/Creative, and Information Technology

Industries

Human Resources Services

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