AI Solution Engineer

The AI Solution Engineer partners directly with clients to design, build, and deliver end-to-end enterprise AI solutions - spanning infrastructure, platform, and application layers. This role blends hands-on technical leadership across Enterprise AI and cloud-native platforms (Azure, AWS, Google Cloud) with application-layer architecture and software development, primarily in the .NET ecosystem. The ideal candidate pairs deep platform and AI engineering knowledge with consulting acumen, guiding clients from strategy and architecture through implementation, adoption, and ongoing optimization., * Partner directly with clients to identify, scope, and deliver end-to-end AI solutions, from infrastructure through the application layer.

• Design and implement AI pipelines and enterprise architectures using AI Enterprise components alongside cloud-native services across Azure, AWS, and Google Cloud.
• Architect and develop AI-enabled enterprise applications using the .NET ecosystem (C#, ASP.NET Core, Entity Framework, Azure Functions, APIs) or a comparable enterprise application ecosystem.
• Design and build RAG and MCP servers, agents and skills, and multimodal data pipelines that connect cloud-backed AI infrastructure to client applications.
• Manage orchestration and infrastructure for AI workloads, including Kubernetes, containerization, GPU resource optimization, and monitoring.
• Enable secure, compliant connectivity between AI applications and enterprise data platforms (SQL, Cosmos DB, BigQuery, S3).
• Collaborate with data science, engineering, and DevOps teams to establish CI/CD workflows and production-ready deployment pipelines.
• Advise clients on AI strategy, governance, and roadmap planning, translating business requirements into scalable, secure technical solutions.
• Lead code reviews, architectural assessments, and performance optimization across AI pipelines and application logic.
• Deliver user and admin training, robust documentation, and post-deployment support to drive adoption and continuous optimization.
• Stay current on advancements in enterprise AI, cloud-native AI services, and modern AI application development practices.

• Demonstrated experience implementing enterprise AI solutions with AI Enterprise and/or major cloud AI platforms.
• Proven experience architecting and building scalable enterprise applications with the .NET stack (C#, ASP.NET Core, Web APIs, Entity Framework) or a comparable enterprise application framework.
• Practical experience integrating AI components (LLMs, vector databases, inference APIs, RAG pipelines) into enterprise application workflows.
• Experience configuring and deploying Kubernetes or container-based infrastructure for AI-enabled services.
• Experience delivering enterprise AI solutions within compliance environments or frameworks such as NIST AI RMF or ISO 42001.
• Hands-on experience with at least two major cloud providers (Azure, AWS, Google Cloud).
• Proven background in AI strategy, governance, and client-facing consulting or project delivery.
• Proficiency with modern DevOps workflows: GitHub Actions, Azure DevOps, or similar CI/CD pipelines.
• Strong communication, stakeholder engagement, and change management skills.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field; relevant cloud/AI certifications a plus.

PREFERRED EXPERIENCE

• End-to-end delivery experience: from pilot/prototype through full production deployment for enterprise clients.
• Experience with real-time data streaming (Kafka, Azure Event Hubs) and API gateway implementations.
• Familiarity with cross-cloud interoperability, cost-optimized cloud design, and industry reference architectures or blueprints.
• Contributions to reusable frameworks or solution accelerators combining application development and AI integration.
• Consulting experience delivering enterprise-grade AI or software solutions across multiple industries., * enterprise AI implementation: 5 years (Required)
• .NET (C#, ASP.NET Core) development: 5 years (Required)
• LLMs, RAG, or vector database: 3 years (Required)
• Kubernetes and containerization: 3 years (Required)
• Azure, AWS, or Google Cloud: 4 years (Required)
• client-facing consulting or solution architecture: 4 years (Required)

Pulled from the full job description

• 401(k)
• Health insurance
• 401(k) matching
• Paid time off
• Vision insurance
• Dental insurance, * 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Agilify is a minority, woman-owned boutique consultancy based in Baton Rouge, LA, growing its footprint across the Gulf South region. We deliver IT and business strategy, process optimization, technology implementation, and training services that drive measurable client outcomes. Our mission is to build a culture of inclusion, transparency, and accountability - creating value for both our team and our clients.