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Solution Architect - Generative AI

knowledge Artisan
10 - 15 Years
Bangalore

Posted on: 10/11/2026

Job Description

About Us:

We are calling applicants on behalf of a Software Solutions company headquartered in East Brunswick, NJ. Incorporated in 2003, we provide a comprehensive range of solutions in the area of GRC, Technology, Procurement, Healthcare Provider and Oracle to customers across the globe. Combining our unparalleled experience of over a decade in the software industry and global reach, we have grown with extensive capabilities across industry verticals.

The Role:

We are seeking an experienced AI Solutions Architect to lead customer engagements, architect innovative AI-powered enterprise solutions, and drive successful execution from presales through delivery. The ideal candidate combines strong consulting skills, deep technical expertise in AI and full-stack software engineering, and hands-on experience building production-ready AI solutions.

Key Responsibilities:

Customer Consulting & Presales:

- Engage with customers to understand business objectives, pain points, and transformation opportunities.

- Conduct discovery workshops and identify high-value AI use cases.

- Collaborate with Sales teams to develop AI-led solution strategies.

- Lead technical presentations, solution demonstrations, and executive discussions.

- Develop solution proposals, architecture documents, effort estimates, SOWs, and responses to RFPs/RFIs.

AI Solution Architecture:

- Design scalable, secure, and cloud-native AI solutions leveraging Generative AI, LLMs, RAG, AI Agents, Machine Learning, NLP, Intelligent Automation, and Predictive Analytics.

- Define end-to-end solution architecture, integration strategy, security, governance, and implementation roadmap.

AI-Enabled Software Engineering:

- Drive AI adoption across enterprise application architecture and the Software Development Lifecycle.

- Design AI-enabled full-stack applications by integrating LLMs, copilots, semantic search, AI agents, and intelligent automation.

- Architect modern cloud-native, microservices-based applications.

Proof of Concept & Delivery:

- Develop rapid AI Proof of Concepts (PoCs) and prototypes demonstrating business value and technical feasibility.

- Lead architectural governance from presales through implementation.

Required Qualifications:

- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related discipline.

- 10+ years of experience in enterprise software development, solution architecture, or technology consulting.

- 5+ years of hands-on experience designing and implementing AI/ML and Generative AI solutions.

Technical Skills:

- AI: Generative AI, LLMs, RAG, AI Agents, Machine Learning, NLP, Prompt Engineering, MLOps.

- Platforms: Azure OpenAI, AWS Bedrock, Google Vertex AI, LangChain, Vector Databases.

- Engineering: Python, Java, .NET, Node.js, React/Angular, Microservices, REST APIs.

- Cloud: Azure, AWS, GCP, Docker, Kubernetes, Terraform.

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