AI / ML Engineer
Accenture
1 day ago
Full-time
On-site
Hyderabad, Telangana, India
ML & AI Engineering
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Microsoft 365 Copilot Custom Solutions
Good to have skills : DevOps Architecture
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Power Platform / Copilot Studio Engineer
Role summary
Own the design, deployment, and lifecycle of enterprise Copilot Studio agents and the Power Platform foundation they run on. You'll take prototype agents built by business users and harden them into governed, observable, scalable production tools - and architect how they connect to each other and to downstream systems.
Role & Responsibilities
Stand up and govern Power Platform environments (Dev/Test/Prod), Managed Environments, and Dataverse
Convert prototype agents into solution-based, source-controlled deployments with ALM pipelines
Replace personal connections with service principals, configure SSO, and eliminate auth friction for end users
Define and enforce DLP policies, connector governance, and sharing controls
Instrument agents with Application Insights and Copilot Studio analytics
Design multi-agent architectures using agent-to-agent orchestration and MCP servers
Partner with business owners and citizen developers to productionize what they build
Required experience
3+ years building on Power Platform (Power Automate, Power Apps, Dataverse)
Hands-on Copilot Studio experience including topics, knowledge sources, actions, and authentication configuration
Entra ID fundamentals: app registrations, service principals, OAuth flows, delegated vs. application permissions
Power Platform ALM: solutions, connection references, environment variables, pipelines or Azure DevOps
SharePoint and Microsoft Graph integration patterns
Working knowledge of DLP policies and tenant-level governance
Nice to have
Microsoft 365 Agents SDK or Azure AI Foundry experience
MCP (Model Context Protocol) familiarity
Application Insights / KQL for telemetry15 years full time education
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Microsoft 365 Copilot Custom Solutions
Good to have skills : DevOps Architecture
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Power Platform / Copilot Studio Engineer
Role summary
Own the design, deployment, and lifecycle of enterprise Copilot Studio agents and the Power Platform foundation they run on. You'll take prototype agents built by business users and harden them into governed, observable, scalable production tools - and architect how they connect to each other and to downstream systems.
Role & Responsibilities
Stand up and govern Power Platform environments (Dev/Test/Prod), Managed Environments, and Dataverse
Convert prototype agents into solution-based, source-controlled deployments with ALM pipelines
Replace personal connections with service principals, configure SSO, and eliminate auth friction for end users
Define and enforce DLP policies, connector governance, and sharing controls
Instrument agents with Application Insights and Copilot Studio analytics
Design multi-agent architectures using agent-to-agent orchestration and MCP servers
Partner with business owners and citizen developers to productionize what they build
Required experience
3+ years building on Power Platform (Power Automate, Power Apps, Dataverse)
Hands-on Copilot Studio experience including topics, knowledge sources, actions, and authentication configuration
Entra ID fundamentals: app registrations, service principals, OAuth flows, delegated vs. application permissions
Power Platform ALM: solutions, connection references, environment variables, pipelines or Azure DevOps
SharePoint and Microsoft Graph integration patterns
Working knowledge of DLP policies and tenant-level governance
Nice to have
Microsoft 365 Agents SDK or Azure AI Foundry experience
MCP (Model Context Protocol) familiarity
Application Insights / KQL for telemetry15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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