AI Solutions Engineer Senior

Experience: 68 years

Role Overview

Senior AI qualified responsible for designing, deploying and architecting AI solutions, with robust exposure to machine learning, cloud, enterprise integrations and solution architecture. The role also expects ownership of architecture governance, code quality and technical standards.

Core Technical Skills
Programming: Python / Java / C++
AI & ML: Machine Learning, Deep Learning, AI solution architecture
AI Frameworks/Platforms: Hugging Face, LangChain, Foundry, OpenAI APIs
Cloud: Microsoft Azure and cloud infrastructure
Containers: Docker, Kubernetes
DevOps: DevOps practices
Data: Data processing, data pipelines, data architecture
Data Engineering: ETL pipelines, Data Lakehouses, Microsoft Fabric
Integration: REST APIs, middleware, systems integration
Enterprise Platforms: Salesforce CRM, Data Lakes, CMS, APIs
Security: AI security, privacy and data considerations

Key Responsibilities / Expectations
Design and deploy scalable AI solutions.
Apply ML algorithms,



deep learning and data-processing techniques.
Integrate AI solutions with enterprise platforms and legacy systems.
Design AI integrations with Salesforce, data lakes, CMS and APIs.
Use RESTful APIs or middleware for enterprise integration.
Drive architecture governance and technical standards.
Maintain code quality and scalable solution design.
Work with cross-functional teams and communicate technical concepts to business stakeholders.
Address complex business problems using AI.

Preferred Skills
Reinforcement Learning
Natural Language Processing
Computer Vision
AI ethics
Bias mitigation strategies

Soft Skills
Strong analytical and problem-solving ability
Excellent technical and non-technical communication
Leadership/cross-functional collaboration
Detail orientation
Innovation and critical thinking
Self-motivated and proactive
Comfortable working in a fast-paced workplace

📌 Ai Solutions Engineer Hyderabad (India)
🏢 3shool Technology Consultants
📍 India