AI Architect – Enterprise AI & Generative AI ( Remote) - Contractual

Experience: 8+ years

Location: Remote, India

Employment Type: Contractual

Working Hours: 3:00 PM – 12:00 AM IST

Client Engagement: US-based client

About the Role

We are looking for a hands-on, client-facing AI Architect to lead the architecture, technical direction, and production implementation of enterprise AI and Generative AI solutions for a US-based client.

You should combine solid software engineering and cloud architecture fundamentals with practical experience building secure, scalable, and reliable AI applications. This role involves end-to-end technical ownership, from solution design and prototyping to production deployment and optimization. It is not a research-only, advisory-only, or prompt-writing position.

Key Responsibilities

- Lead end-to-end architecture and delivery of AI/ML and Generative AI solutions, from discovery and proof of concept to production rollout.
- Design LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings, vector databases, AI agents, and orchestration frameworks.
- Define data ingestion, chunking, retrieval, grounding, evaluation, and knowledge-refresh strategies.
- Select appropriate AI models and platforms based on quality, latency, cost, security, and operational requirements.
- Design cloud-native architectures, APIs, integrations, identity controls, monitoring, and resilient deployment patterns.
- Create architecture diagrams, technical designs, implementation roadmaps, and technical standards.
- Implement AI quality and safety measures, including hallucination mitigation, guardrails, access controls, and prompt-injection defenses.
- Guide engineering, data, ML, and DevOps teams through implementation, code reviews, troubleshooting, and go-live readiness.
- Lead technical discussions and design reviews with US client stakeholders.
- Establish production monitoring, CI/CD, versioning, incident handling, and performance and cost optimization practices.

Required Skills & Qualifications





- 8+ years of relevant experience in software engineering, AI/ML engineering, data engineering, or technology architecture.
- Proven experience personally architecting and deploying at least one enterprise-grade AI or Generative AI solution into production.
- Strong practical knowledge of LLMs, RAG, embeddings, vector databases, orchestration frameworks, and model evaluation.
- Hands-on experience with Python and APIs, including prototyping, code review, and troubleshooting.
- Experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform (GCP).
- Understanding of data pipelines, SQL/NoSQL databases, containers, CI/CD, MLOps, and LLMOps.
- Knowledge of enterprise security, privacy, identity and access management, and responsible AI practices.
- Experience independently leading architecture workshops, design reviews, and technical discussions with US clients.
- Excellent written and spoken English, documentation, and stakeholder management skills.
- Availability to work from 3:00 PM to 12:00 AM IST and willingness to accept a contractual engagement.

Preferred Experience

- Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
- Azure AI Search or equivalent retrieval tools.
- LangChain, LangGraph, Semantic Kernel, and agent/tool orchestration.
- Model fine-tuning, predictive ML, document intelligence, multimodal AI, or real-time AI applications.
- Experience in cloud modernization, enterprise integrations, data analytics, or technology consulting.
- Relevant AI/cloud architecture certifications and experience mentoring technical teams.

What Success Looks Like

- Designing secure, scalable,



production-ready AI solutions rather than demos or conceptual presentations.
- Making sound technical decisions around feasibility, performance, reliability, cost, and AI risks.
- Taking ownership of architecture decisions and resolving technical blockers with limited supervision.
- Building trust with senior US stakeholders and collaborating effectively with India-based delivery teams.

Contract Details

- Initial engagement: Minimum 3 months, with extension subject to project requirements and performance.
- Working schedule: 3:00 PM – 12:00 AM IST.
- Potential permanent employment: After 18 months, the client may consider direct permanent employment at its sole discretion. Conversion is not guaranteed.

Mandatory Screening Criteria

Candidates should be able to:

- Explain an enterprise AI/GenAI solution they personally architected and deployed, including architecture, scale, evaluation, and business impact.
- Whiteboard an enterprise RAG or agentic solution covering data flow, security, authentication, authorization, monitoring, and cost controls.
- Discuss real-world model-quality issues, hallucinations, privacy risks, incidents, and architectural trade-offs.
- Lead a technical design review with US client stakeholders.
- Confirm acceptance of the working hours and contractual engagement.

Apply only if you have hands-on experience architecting and deploying enterprise AI/GenAI solutions in production.

Skills:- Artificial Intelligence (AI), Generative AI (GenAI), Large Language Models (LLM), Generative AI, Solution architecture, Google Vertex AI, Machine Learning (ML), Retrieval Augmented Generation (RAG), Vector database, Python, Rest Assured, API, RESTful APIs, Azure OpenAI, Microsoft Windows Azure, Amazon Web Services (AWS), AWS Lambda, Google Cloud Platform (GCP), LangGraph, LangChain, Agentic AI, AI Agents, Prompt engineering, embedding, LLM Evaluation Frameworks, AI Architecture, MLOps, LLMOps, data pipeline, SQL, Docker, CI/CD, Cloud Architecture, AI Security, Enterprise architecture and technical leadership

📌 AI Architect | Enterprise AI & Generative AI-REMOTE-CONTRACTUAL (India)
🏢 Vajra Talent
📍 India