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Solution Architect - Generative AI

WorkiFicient
Anywhere in India/Multiple Locations
10 - 12 Years

Posted on: 03/12/2025

Job Description

Description :


We are seeking a highly skilled and hands-on Solutions Architect who can design and drive technology solutions across multiple industries and technology stacks. In this role, you will work closely with various business units, with a strong focus on architecting end-to-end systems, leading multi-domain solutioning, and leveraging GenAI as a force multiplier in modern software delivery.

As a Solutions Architect, you will bring deep technical expertise, strong architectural thinking, and the ability to own complex problem statements end-to-end. While you may remain hands-on with coding when necessary, your primary responsibilities will include technical guidance, reviews, solution design, estimating engineering effort, leading discovery phases, and ensuring delivery of world-class solutions across cloud, backend, frontend, mobile, and integration workflows.



Responsibilities :


- Collaborate directly with customers to gather and analyze business and technical requirements.

- Architect end-to-end solutions across diverse domains including QSR, supply chain, B2C platforms, and emerging verticals.

- Translate business needs into comprehensive, scalable, secure, and extensible solution

designs covering frontend, backend, APIs, integrations, cloud infrastructure, and data layers.

- Lead technical discovery workshops, solution definition, and estimation for client

engagements and RFPs.

- Design cloud-native architectures using microservices, event-driven patterns, managed services, and modern DevOps practices.

- Ensure that all solutions support both web and mobile channels and meet performance,

scalability, reliability, and observability standards.

- Architect critical B2C components including authentication, authorization, payment gateway

integrations, security, and compliance.

- Drive adoption of GenAI-enabled engineering-leveraging AI copilots and LLM tools for design,

coding, reviews, testing, documentation, and delivery acceleration.

- Evaluate, recommend, and institutionalize AI/LLM tools to improve engineering productivity

and code quality.

- Provide technical guidance to development teams throughout the implementation phase,

including design reviews, code reviews, PoC development, and unblocking teams when required.

- Stay current with emerging technologies and advocate for their appropriate use in project.



To be successful in this role, you should possess :


- Education : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- Experience : Minimum of 8 years in software development with strong ownership of solution architecture.

- Strong hands-on experience in cloud platforms (AWS or Azure).

- Solid understanding of system design, API design, data modeling, and integration patterns.

- Experience designing cloud-native architectures (microservices, event-driven patterns,

DevOps practices).

- Strong knowledge of web and mobile architectures.

- Polyglot engineering skills with the ability to choose the right tech stack for the problem.

- Experience integrating payment gateways and third-party services with solid understandingof

authentication, authorization, and security best practices.

- GenAI (Mandatory) : Hands-on use of AI copilots and LLM tools for design, coding, code reviews, testing, and productivity acceleration.


- Excellent interpersonal and communication skills with strong stakeholder and customer

engagement abilities.

- Experience managing distributed teams, cloud certifications, familiarity with DevOps tools, and customer-facing/consulting background.



Preferred Qualifications :


- Experience managing distributed or remote development teams.

- Excellent interpersonal and communication skills with strong stakeholder and customer

engagement abilities.

- Experience managing distributed teams, cloud certifications, familiarity with DevOps tools, and customer-facing/consulting background.

- Prior experience in a customer-facing or consulting role.


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