AI Architect

ESP Engineered; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health Insurance: Employee + Spouse + Two Children + Parents

Job summary

ESP Engineered is looking for an AI Solution Architect in Pune District, India. You will be responsible for designing and implementing scalable AI-driven solutions while leading AI strategy across platforms and applications.

The ideal candidate is expected to have strong expertise in Machine Learning, Deep Learning, and Generative AI technologies, with hands-on experience in related frameworks. The role offers health insurance benefits and opportunities for professional growth.

Qualifications

• Strong expertise in Machine Learning, Deep Learning, and NLP.
• Hands-on experience with Generative AI technologies.
• Experience working with OpenAI and cloud platforms.

Responsibilities

• Define and lead AI architecture roadmap aligned with business goals.
• Design and implement scalable AI/ML solutions.
• Collaborate with cross‑functional teams to align AI solutions.

Skills

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Generative AI

Python

Cloud platforms

MLOps

Docker

Kubernetes

Tools

TensorFlow

PyTorch

OpenAI

HuggingFace

Job description

As an AI Solution Architect, you will be responsible for designing, architecting, and implementing scalable AI‑driven solutions leveraging Machine Learning, Deep Learning, and Generative AI technologies. You will lead AI strategy and solution design across LMS platforms, content systems, and enterprise applications, ensuring secure, high‑performance, and scalable AI deployments.

Required Skills and Technologies

• Strong expertise in Machine Learning, Deep Learning, and NLP
• Hands‑on experience with Generative AI (LLMs, RAG architectures, fine‑tuning, prompt engineering)
• Experience working with OpenAI, Azure OpenAI, HuggingFace, Anthropic, or similar platforms
• Experience with vector databases such as Pinecone, FAISS, Weaviate, or equivalent
• Strong backend programming experience in Python (preferred), Java, or NodeJS
• Experience with AI frameworks such as TensorFlow, PyTorch, Lang Chain, LlamaIndex
• Knowledge of SQL / NoSQL databases
• Experience with one of the Cloud platforms AWS, Azure, GCP or equivalent
• Experience with MLOps practices and CI/CD for AI/ML pipelines
• Knowledge of containerization technologies like Docker, Kubernetes
• Experience in designing scalable and high‑performance AI‑based cloud solutions
• Good to Have: Familiarity with EdTech standards such as LTI, QTI, xAPI, CMI5, and SCORM
• Good to Have: Exposure to Responsible AI frameworks and AI governance models

Key Responsibilities

• Define and lead AI architecture roadmap aligned with business goals and customer requirements
• Design and implement scalable AI/ML and Generative AI solutions including personalization engines and AI-powered assessments
• Architect Retrieval‑Augmented Generation (RAG) pipelines and prompt engineering frameworks
• Collaborate with cross‑functional teams to align AI solutions with business objectives
• Conduct architectural reviews and recommend improvements
• Ensure secure, ethical, and compliant AI deployments following best practices

Employee Benefits

• Health Insurance: Employee + Spouse + Two Children + Parents