AI Solutions Architect

Description

We are seeking an AI Engineer to design and implement Generative AI (GenAI) solutions that enhance enterprise applications and business processes. The role focuses on integrating Large Language Models (LLMs), building intelligent automation, and enabling AI-driven capabilities across platforms.

Key Responsibilities

Design and develop GenAI-based solutions using LLMs for enterprise use cases

Integrate AI services with existing applications and platforms via APIs

Develop prompt engineering workflows to improve model accuracy and relevance

Build AI-powered automation, assistants, and intelligent workflows

Work with structured and unstructured data for AI-driven solutions

Collaborate with business and technical teams to define AI requirements

Support deployment, monitoring, and optimization of AI solutions

Ensure scalability, performance, and reliability of AI components

Required Skills & Experience

Experience in Generative AI / LLM-based application development

Strong programming experience in any modern language (e.g., Python, Java, or similar)

Experience integrating APIs and backend services

Understanding of AI concepts such as LLMs, embeddings, and prompt engineering

Experience working with data processing and transformation

Familiarity with cloud-based application development

Preferred Skills

Experience with GenAI frameworks (LangChain, LlamaIndex, or similar)

Knowledge of Retrieval Augmented Generation (RAG) concepts

Exposure to vector databases (FAISS, Pinecone, Weaviate, etc.)

Understanding of AI deployment concepts and containerization (Docker)

Exposure to enterprise AI or chatbot development

Soft Skills

Strong analytical and problem-solving skills

Good communication and collaboration abilities

Ability to work in Agile environments

Eagerness to learn and adapt to emerging AI technologies