Job Description AI ArchitectPosition: AI Architect
Experience: 12+ Years
Employment Type: Full-Time / Contract-to-Hire (C2H)
Work Mode: Hybrid (3 Days Work from Office + 2 Days Remote)
Interview Process: 2 Technical Rounds + 1 Mandatory Face-to-Face Round
Education: B.E./B.Tech, M.E./M.Tech, or MCAAbout the RoleWe are seeking a highly experienced AI Architect to lead the design, development, and implementation of next-generation Artificial Intelligence solutions. The ideal candidate will have deep expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, Python, and cloud platforms such as AWS, Azure, or GCP.As an AI Architect, you will define AI strategy, architect scalable AI platforms, guide engineering teams, and drive enterprise-wide AI transformation initiatives.Key Responsibilities

- Design and architect enterprise-scale AI/ML and Generative AI solutions.
- Lead the development of LLM-based applications using advanced prompting, fine-tuning, RAG, and agent-based architectures.
- Define AI solution architecture, integration patterns, and deployment strategies.
- Build scalable and secure AI platforms leveraging AWS, Azure, or GCP services.
- Establish MLOps best practices for model training, deployment, monitoring, governance, and lifecycle management.
- Collaborate with business stakeholders, product teams, data scientists, and engineering teams to translate business requirements into AI solutions.
- Evaluate emerging AI technologies, frameworks, and tools to drive innovation.
- Ensure AI solutions meet performance, security, scalability, and compliance standards.
- Provide technical leadership, mentorship, and architectural guidance to development teams.




- Drive AI adoption and contribute to strategic technology roadmaps.

Required Skills & ExperienceCore Skills

- AI Architecture
- Generative AI (Gen AI)
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Python Programming
- MLOps
- Prompt Engineering
- AI Agents & Agentic Frameworks

Cloud Platforms (Any One)

- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)

AI/ML Technologies

- OpenAI, Anthropic, Gemini, or similar LLM ecosystems
- LangChain, LlamaIndex, CrewAI, AutoGen, or equivalent frameworks
- Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS, etc.)
- Model deployment and orchestration platforms
- Machine Learning and Deep Learning frameworks

DevOps & Engineering

- CI/CD Pipelines
- Docker & Kubernetes
- Git-based development workflows
- API and Microservices Architecture

Preferred Qualifications

- Experience architecting enterprise AI solutions for large-scale organizations.
- Strong understanding of AI governance, security, responsible AI, and compliance frameworks.
- Experience leading cross-functional teams and large AI transformation programs.
- AI/Cloud certifications are highly preferred.
- Solid communication and stakeholder management skills.

What We're Looking For

- Strategic thinker with strong architectural expertise.
- Ability to drive AI innovation and business transformation.
- Hands-on experience in designing and deploying production-grade AI systems.
- Strong leadership and mentoring capabilities.
- Passion for emerging AI technologies and continuous learning.

Experience: 12+ Years
Work Mode: Hybrid (3 Days Office + 2 Days Remote)
Interview Process: 2 Technical Rounds + 1 Mandatory Face-to-Face Round
Education: B.E./B.Tech, M.E./M.Tech, MCAEmployment Type: Full-Time / Contract-to-Hire (C2H)

📌 Artificial Intelligence Architect (Hyderabad)
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