Job Description: GenAI Solution Technical Architect

Experience: 1218 years

About the Role

We are seeking an experienced GenAI Solution Technical Architect to lead the end-to-end architecture, design, and technical delivery of a GenAI-powered Assistant that supports IT Operations (ITO) processes in the manufacturing domain.

This role requires a robust combination of enterprise solution design skills and hands-on experience with Generative AI technologies, cloud-native architectures, and scalable application frameworks. The architect will be responsible for defining reference architectures, guiding squads, ensuring quality gates, and enabling seamless integration of GenAI components (LLMs, vector databases, prompt engineering) into enterprise workflows.

Key Responsibilities

- Solution Architecture & Design
- Define the end-to-end architecture for GenAI-enabled applications, including backend (Python/FastAPI), frontend (React), AWS cloud infrastructure, and GenAI services.
- Design scalable, secure, and compliant architectures that align with enterprise IT standards.
- Own decisions around RAG (Retrieval-Augmented Generation), vector search, prompt engineering strategies, and orchestration frameworks (LangChain, LlamaIndex, etc.).

- GenAI Integration & Innovation

- Define patterns for prompt engineering, embeddings, vector and LLM integration.
- Ensure AI workflows are modular, reusable, and cost-efficient.

- Technical Leadership & Governance

- Guide squads (backend, frontend, QA, DevOps) in translating requirements into scalable technical designs.
- Define coding standards, architecture blueprints, and quality gates.




- Provide technical leadership during design reviews, sprint planning, and release cycles.

- Hands-On Contribution

- Build reference implementations and POCs to validate GenAI use cases.
- Troubleshoot complex integration challenges across AI, APIs, and cloud services.
- Remain hands-on in critical technical areas, especially GenAI integrations.

- Cloud & DevOps Alignment

- Define AWS-native deployment architecture for scale and resilience.
- Work with DevOps engineers on CI/CD pipelines, observability, and cost optimization.
- Ensure compliance with security, governance, and enterprise guardrails.

- Stakeholder Engagement

- Collaborate with product owners, business SMEs, and delivery managers to align solution design with business needs.
- Communicate complex technical concepts in simple, business-aligned terms.

Required Skills & Experience

- Technical Leadership
- 12–18 years of overall experience in solution architecture, enterprise systems, or technical leadership.
- Proven expertise in designing and delivering enterprise-scale applications.
- Strong background in Python, FastAPI, React-based applications, and AWS cloud.

- GenAI Expertise (Hands-On)

- Deep understanding of LLM integration, prompt engineering, embeddings, and RAG workflows.
- Practical experience with vector databases.
- Familiarity with GenAI orchestration frameworks

- Cloud & DevOps

- Strong experience with AWS services (ECS, Lambda, API Gateway, S3, RDS/DynamoDB, CloudFront).
- Knowledge of DevOps pipelines, containerization (Docker), and monitoring frameworks.
- Ability to optimize GenAI workloads for performance, cost, and scalability.

📌 GEN AI Architect (Uttar Pradesh)
🏢 Genpact
📍 Uttar Pradesh