AI Solutions Engineer

AI Solutions Engineer Senior

Experience: 68 years

Role Overview

Senior AI professional responsible for designing, deploying and architecting AI solutions, with strong 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 environment