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AI Solutions & Architecture Lead

Quantanite

Navi Mumbai, , India permanent

Posted: May 13, 2025

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Quick Summary

We are looking for an AI Solutions & Architecture Lead to join our team in Navi Mumbai, India. The ideal candidate will be responsible for designing and implementing AI solutions and architectures for our clients.

Job Description

Quantanite is a leading Business Process Outsourcing (BPO) and Customer Experience (CX) solutions provider, empowering fast-growing companies and global brands to optimize their operations. By combining automation with human expertise, we deliver seamless customer experiences and exceptional business outcomes. With operations across four continents, we are a diverse, dynamic, and ambitious team looking for individuals who share our values and vision. We are currently over 2,100+ professionals supporting global clients worldwide.

 Architect and prototype scalable enterprise applications, incorporating modern

frameworks and selectively integrating AI technologies such as LLMs and GenAI

where appropriate to enhance functionality and automation.

 Design and maintain enterprise-grade reference architectures that support

both conventional systems and emerging AI-enabled components.

 Lead solution design for complex, multi-domain use cases across customer

experience, recruitment, IT support, finance, and operations—ensuring AI is used

where it adds measurable value.

 Drive client-facing solutioning engagements from discovery through to proposal,

translating business requirements into technically sound and commercially viable

solutions.

 Develop reusable architecture components, templates, and toolkits that

streamline delivery and ensure consistency across projects.

 Define and scope solution architectures, working with Sales and Solutions teams

to align on timelines, resource plans, and pricing models.

 Serve as a strategic technology advisor, presenting architecture alternatives, total

cost of ownership (TCO), and ROI impacts to client stakeholders.

 Collaborate closely with cross-functional teams including Product, Engineering,

Delivery, and Sales to ensure technical feasibility and delivery alignment.

 Contribute to internal innovation efforts, including proof-of-concepts (PoCs),

architecture best practices, and team enablement on GenAI capabilities and market

trends.

 Stay informed on industry trends and modern architecture patterns, including

awareness of AI orchestration tools (e.g., LangChain, RAG frameworks) and cloud-

native design approaches.

 Bachelor’s or Master’s degree in Computer Science, Information Systems, or a

related technical field.

 8+ years of experience in software and solution architecture, with exposure to

modern AI technologies and their application in enterprise contexts.

 Familiarity with AI/ML concepts and tooling (e.g., LLMs like OpenAI or Claude, RAG

frameworks, LangChain, vector databases such as Pinecone or Weaviate) is a plus.

 Demonstrated experience designing and delivering enterprise solutions across

domains such as customer experience, HR technology, IT service management, and

digital operations.

 Strong full-stack development background with proficiency in languages and

frameworks such as Python, JavaScript, React, and FastAPI.

 Deep understanding of SaaS platforms, cloud infrastructure (AWS, Azure, GCP), and

DevOps practices including CI/CD pipelines.

 Experience in solution scoping, cost modeling, and proposal development for

enterprise clients.

 Proven ability to lead technical delivery while engaging in consultative discussions

with business and technology stakeholders.

 Strong communication skills, with the ability to articulate complex architectural

concepts clearly to both technical and non-technical audiences.

 Availability to work in or align closely with US time zones (if not based in North

America).

What You'll Get:

• Competitive salary
• Monthly allowances for transportation & food
• Overtime compensation
• Two annual festival bonuses (after one year of continuous service)
• Clear career progression pathways
• Monthly and annual rewards and recognition programs
• Paid annual leave and additional paid leave days

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