Accenture Strategy & Consulting is at the forefront of shaping clients' futures, blending profound business insights with a deep understanding of how technology transforms industries and business models. Our expertise in digital disruption, redefining competitiveness, operating models, and the future of work empowers clients to discover new avenues for value and growth in the digital landscape through AI and Generative AI strategies.

We are seeking a skilled AI Copilot Developer to architect, construct, and manage AI-driven solutions, leveraging Microsoft's Copilot ecosystem, including Power BI. The ideal candidate possesses extensive experience with the Microsoft Power Platform, a strong grasp of generative AI principles, and a demonstrated ability to translate intricate business requirements into robust, scalable technical solutions.

Develop and deploy bespoke Copilot solutions across Microsoft 365 applications such as Power BI, Teams, Outlook, SharePoint, Excel, and PowerPoint, as well as other business platforms.

Craft conversational AI experiences and intelligent agents using Microsoft Copilot Studio to optimize workflows and automate tasks.

Integrate Copilot functionalities with disparate business systems via REST APIs, custom connectors, and the Microsoft Graph API.

Collaborate closely with business stakeholders to define requirements, pinpoint high-impact use cases, and translate needs into detailed technical specifications.

Build and maintain automated workflows utilizing Power Automate to enhance and extend Copilot capabilities.

Perform internal testing, validation, and ongoing monitoring of deployed AI agents to guarantee peak performance and accuracy.

Uphold enterprise-grade security, governance, and compliance standards for all solutions.

Continuously stay abreast of the latest breakthroughs in AI, machine learning (ML), and the Microsoft Copilot ecosystem.

Provide expert technical guidance, training, and documentation to end-users to facilitate smooth adoption of new Copilot features.

A minimum of 2-3 years of hands-on software development experience, with a strong emphasis on Microsoft AI, Power BI, the Power Platform, and Copilot Studio is required.

A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a closely related field is essential.

Candidates must exhibit strong analytical and strategic thinking abilities, enabling them to evaluate client business processes, technologies, and data infrastructure to identify AI integration opportunities and formulate tailored AI strategy frameworks that align with client objectives.

Demonstrated expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning, coupled with a solid comprehension of AI concepts, algorithms, and their practical application to solve complex business challenges.

Exceptional communication and presentation skills are vital for effectively conveying complex technical concepts to non-technical audiences. Candidates should articulate AI strategy recommendations clearly, concisely, and persuasively.

Familiarity with cloud computing services such as AWS, Azure, and GCP for scalable AI and data analytics solutions is beneficial.

The capacity to collaborate effectively within cross-functional teams is paramount. Candidates should be adept at working with diverse groups to design and implement AI solutions that address client business hurdles and deliver tangible outcomes.

A profound understanding of Generative AI preferences, behaviors, and values is expected.

Candidates should possess an understanding and working knowledge of various large language models to recommend and implement the most suitable LLMs for customers based on AI strategies that align with Generative AI principles.

Practical experience with machine learning algorithms and statistical modeling techniques is necessary.

Working knowledge of the AI and Analytics lifecycle, encompassing problem definition, data preparation, model building, validation, deployment, and monitoring, is required.