Forward Deployment Engineer
SkyHive
Forward Deployment Engineer
This role is Office Based, Hyderabad OfficeForward Deployment Engineer (FDE) AI
Office Based, Hyderabad Office
Cornerstone OnDemand is looking for a Forward Deployment Engineer (FDE) who will lead the design, development, and deployment of AI-powered solutions using Microsoft Azure AI services, Copilot, and Generative AI technologies. You will be responsible for building intelligent automation solutions, implementing AI models, and creating custom Gen AI applications — while working closely with client teams to ensure seamless integration and deployment within their environments.
In this role, you will…
AI Solution Design & Development
- Lead the development of enterprise AI solutions using Azure OpenAI, Azure AI Studio, Azure Machine Learning, and Azure Cognitive Services.
- Design and implement Microsoft Copilot solutions, including Copilot for Microsoft 365, custom copilots using Copilot Studio, and plugin development.
- Build advanced Gen AI applications using prompt engineering, RAG (Retrieval-Augmented Generation) patterns, fine-tuning, and multi-agent systems.
- Develop intelligent workflows using Azure Agentic AI and Semantic Kernel to automate complex business processes.
- Integrate AI capabilities with Microsoft 365, SharePoint, Teams, Power Platform, and third-party enterprise applications.
- Implement Azure AI Document Intelligence solutions for automated document processing and data extraction.
- Build and optimize vector databases and semantic search using Azure AI Search for knowledge management systems.
- Design and develop scalable APIs and microservices for AI model deployment and integration.
- Create data pipelines to support AI model training and real-time inference.
- Define AI solution standards, best practices, and governance frameworks including security and compliance.
Client Deployment & Collaboration
- Participate in technical discovery sessions with client stakeholders to understand business requirements and integration constraints.
- Support on-site and remote deployment of AI solutions within client environments, managing configuration, data integration, and go-live activities.
- Deliver proof-of-concept projects to evaluate AI technologies and demonstrate business value to client teams.
- Provide technical enablement and knowledge transfer sessions to client engineering teams as needed.
- Gather client feedback to inform product improvements, working closely with internal product and engineering teams.
You've Got What It Takes If You Have…
Requirements
- Bachelor's or master’s degree in computer science, Software Engineering.
- 2+ years of comprehensive software engineering experience.
Technical Expertise
- Proven track record in architecting and implementing enterprise-scale AI solutions using Microsoft Azure AI services and Generative AI technologies.
- Expert-level experience with Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, and Azure Cognitive Services in production environments.
- Deep expertise in Gen AI application development, including advanced prompt engineering, RAG architectures, fine-tuning strategies, and multi-agent orchestration.
- Strong hands-on experience with Microsoft Copilot ecosystem, including enterprise Copilot deployment, custom copilot development, plugin architecture, and extensibility frameworks.
- Advanced proficiency in Python and/or C# with deep knowledge of AI/ML frameworks.
- Expert-level understanding of LLM architectures, embeddings, and vector search technologies.
- Expertise in designing and implementing scalable API architectures, microservices patterns, and event-driven systems for AI solutions.
- Deep understanding of Azure AI Search, vector databases (Cosmos DB, Pinecone, Weaviate), and hybrid search optimization techniques.
Additional Skills
- Good communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
- Ability to adapt solutions to diverse client environments and data ecosystems.
- Familiarity with enterprise security and compliance frameworks (SOC 2, GDPR, HIPAA) is a plus.
- Experience with multi-tenant SaaS deployments and tenant-specific AI customization is a plus.
#LI-Onsite
Our Culture:
Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.
Who We Are:
Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.
Check us out on LinkedIn, Comparably, Glassdoor, and Facebook!