Artificial Intelligence Solutions Specialist

1 day ago

Noida, Uttar Pradesh, India beBeeArtificialintelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title : Artificial Intelligence Architect

About the Role :

We are seeking a skilled Artificial Intelligence Architect to design, develop and deploy cutting-edge AI solutions across enterprise applications.

This role requires expertise in large language models, prompt engineering, scalable AI system architecture, MLOps, cloud and data engineering.

Key Responsibilities :

- Design and implement scalable secure AI solutions using large language models such as GPT, Claude, LLaMA or Mistral.

- Architect Retrieval-Augmented Generation pipelines using tools like LangChain, LlamaIndex, Weaviate, FAISS or ElasticSearch.

- Lead prompt engineering and evaluation frameworks for accuracy, safety and contextual relevance.

- Collaborate with product, engineering and data teams to integrate AI into existing applications and workflows.

- Build reusable AI modules (function calling, summarization, Q&A bots, document chat etc)

- Leverage cloud-native platforms (AWS Bedrock, Azure OpenAI, Vertex AI) to deploy and optimize AI workloads.

- Ensure robust monitoring logging and observability across AI deployments (Grafana, OpenTelemetry, Prometheus).

- Apply MLOps practices for CI/CD of AI pipelines model versioning validation and rollback.

- Research and prototype emerging trends in AI including multi-agent systems autonomous agents and fine-tuning.

- Implement security best practices data governance and compliance protocols (PII masking encryption audit logs).

Required Skills & Experience :

- 8+ years overall experience in AI/ML with at least 3 years focused on large language models / AI.

- Strong programming skills in Python with frameworks like Transformers (Hugging Face), LangChain or OpenAI SDKs.

- Experience with Vector Databases (e.g Pinecone, Weaviate, FAISS, Qdrant).

- Proficiency in cloud platforms: AWS (SageMaker, Bedrock), Azure (OpenAI), GCP (Vertex AI).

- Experience in designing deploying RAG pipelines summarization engines and chat-based apps.

- Familiarity with function calling tool usage agents and LLM orchestration frameworks (LangGraph AutoGen CrewAI).

- Understanding of MLOps tools: MLflow Airflow Docker Kubernetes FastAPI.

- Exposure to prompt injection mitigation hallucination control and LLMOps.

- Ability to evaluate AI systems using metrics like BERTScore BLEU GPTScore.

- Strong communication documentation skills; ability to lead architecture discussions mentor engineering teams.

Preferred Nice to Have :

- Experience with fine-tuning open-source LLMs (LLaMA, Mistral, Falcon) using LoRA or QLoRA.

- Knowledge of multi-modal AI (text-image voice assistants).

- Familiarity with domain-specific LLMs in Healthcare BFSI Legal or EdTech.

- Published work patents or open-source contributions in AI

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