Senior Consultant II - AI/ML Engineer

Role Description

We are seeking a Senior Consultant II – AI/ML Engineer with proficiency in .NET engineering foundation and hands-on experience applying Machine Learning, Generative AI, and LLM technologies in enterprise environments. This is an applied engineering role focused on designing, building, and integrating AI-powered solutions into production systems rather than conducting research. The position combines AI/ML work with practical software engineering, data processing, and Azure-based solution delivery.

What You'll Do

• Design and implement AI-enabled applications using C#/.NET, Azure, and modern AI/LLM services.
• Develop data ingestion, transformation, and automation pipelines for structured and unstructured data.
• Build and integrate AI capabilities into existing enterprise applications through APIs and services.
• Partner with business SMEs and technical teams to translate complex business challenges into scalable technical solutions.
• Evaluate, test, and optimize AI/ML outputs for accuracy, reliability, and production readiness.
• Support end-to-end delivery, including solution design, implementation, validation, documentation, and production handoff.

Qualifications

• Software engineering experience with C#/.NET in enterprise-scale environments.
• Experience working with Machine Learning, Generative AI, LLMs, or AI-assisted automation solutions.
• Python and data engineering experience.
• Familiarity with Azure DevOps, CI/CD, observability, and enterprise application support.
• Experience building APIs, integrating applications, and working with structured data, JSON, and SQL databases.
• Hands-on experience with Azure cloud services and modern application architectures.
• Strong problem-solving, debugging, and stakeholder communication skills.
• Experience working directly with business users, translating requirements into scalable technical solutions.

Requirements

• Experience with Azure OpenAI, GPT-based solutions, prompt engineering, LangChain/LangGraph, or similar AI frameworks.
• Experience with document processing, data extraction, automation, or intelligent workflow solutions.
• Experience in regulated or large-scale enterprise environments.

Benefits

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
• Monthly connectivity reimbursement for employees eligible to work from home.
• Requirements for home workspace: dedicated, private workspace free from distractions, reliable internet with minimum speeds of 50 MB download and 5 MB upload.