Join our Industry Solutions team as a Senior Data and AI Consultant, where you'll shape cutting-edge solutions for clients using Microsoft technologies. This role offers a unique opportunity to leverage your passion for technology and consulting skills to drive significant client value. You will be a key contributor to high-profile data and AI projects, ensuring customers maximize the benefits of our offerings.

As a consultant, you'll combine technical expertise, leadership, and a client-centric approach to deliver impactful solutions. You will work within architectural teams, with customers and partners, accelerating the adoption of Microsoft's ecosystem by aligning technology strategies with business objectives.

This position focuses on delivering end-to-end solutions through accelerated adoption and productive use of Microsoft technologies, offering a dynamic environment for professional growth and client success.

As a Senior Data & AI Consultant, you will function as a key individual contributor within the team, ensuring the timely and accurate execution of deliverables. You will apply your technical and industry knowledge to design solutions that align with customer business objectives, accelerating value through the development and deployment of Microsoft-based solutions.

Key responsibilities include contributing to project quality, identifying and managing project risks and dependencies, and developing mitigation strategies. You will also drive the adoption of cloud and Microsoft technologies, collaborating with sales and account teams to articulate value propositions for strategic customers. Aligning with digital transformation initiatives and ensuring the use of existing intellectual property are also core aspects of this role.

You will be responsible for implementing technology strategies with guidance from senior peers, adhering to information compliance and assurance policies. Driving innovation across the division and consistently upskilling through Azure Data and AI trainings are essential for success.

We are seeking candidates with a minimum of 10 years of experience and a Bachelor's degree in Computer Science Engineering, or equivalent practical experience. Higher relevant education is preferred.

Core requirements include strong hands-on experience in data engineering across cloud, on-premise, and hybrid environments, with a solid foundation in Azure Data Services and data platform modernization. Proficiency in data warehousing and analytics platforms such as Microsoft Fabric and Azure Synapse Analytics is essential. Experience with SQL and NoSQL databases, building AI-powered data pipelines using ETL/ELT tools like Azure Data Factory, and exposure to data migrations and platform upgrades are also critical.

Foundational knowledge in AI/ML, including building ML-ready datasets, feature engineering, and operationalizing ML pipelines with MLOps concepts on Azure, is expected. Familiarity with Large Language Models (LLMs), model training, evaluation, and deployment workflows, as well as Azure AI services like Azure OpenAI, is necessary. Experience with NLP, Computer Vision, RAG frameworks, or AI Search, and a basic understanding of Prompt Engineering are advantageous.

Proficiency in Python and experience in Agile teams with Azure DevOps are required. Understanding of DataOps and MLOps practices, automated testing, CI/CD pipelines, and secure coding practices are highly valued. A strong consulting mindset, excellent communication skills for explaining technical concepts to stakeholders, and a willingness to learn and adapt are crucial for this role.