Design, build, and optimize agentic AI solutions, including LLM prompts, agent workflows, MCP tools, tool-calling frameworks, RAG systems, and context orchestration. Develop evaluation methods, integrate enterprise systems and APIs, support deployment and monitoring, and ensure solutions meet security, governance, compliance, and responsible AI standards. The role is client-facing and involves collaboration across product, architecture, and engineering teams.
Job Description
AI Prompt Engineer / Agentic AI Engineer (3 ON, 3 Off)
Role Summary
- Role Type: Client-facing, hands-on engineering + solutioning (pre-sales through early delivery)
- Location: Major US hub (e.g., New York, Bay Area, Dallas, Chicago – flexible for the right candidate). Travel Expected.
- Level: Manager/Principal/Senior Principal
- Business Unit: (Enterprise AI Platforms & Agentic Solutions).
- Reporting to: Artificial Intelligence Leader, North America.
About Company:
Role summary
The resource will support the design, development, and delivery of Agentic AI solutions by creating, optimizing, and managing AI prompts, agent workflows, and MCP-integrated tools. The role will focus on enabling intelligent AI agents capable of autonomous reasoning, task orchestration, tool utilization, and workflow execution across enterprise applications.
Key Responsibilities
- Design, develop, and optimize prompts for Large Language Models (LLMs) to improve accuracy, reliability, and business outcomes.
- Build and configure Agentic AI solutions that leverage planning, reasoning, memory, and multi-step task execution capabilities.
- Develop and integrate MCP (Model Context Protocol) tools, enabling AIagents to securely discover and interact with enterprise systems, APIs, and data sources.
- Design agent architectures, tool-calling frameworks, retrieval mechanisms, and context management strategies.
- Collaborate with product managers, architects, and engineering teams to translate business requirements into AI-driven solutions.
- Implement Retrieval-Augmented Generation (RAG), knowledge grounding, and context orchestration patterns.
- Define evaluation frameworks and prompt testing methodologies to measure agent performance, quality, and reliability.
- Ensure AI solutions adhere to security, compliance, governance, and responsible AI standards.
- Support deployment, monitoring, troubleshooting, and continuous improvement of AI agents and MCP-enabled workflows.
- Contribute to architecture reviews, technical design documentation, and engineering best practices for AI platforms.
Required Skill
- Experience with Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, or equivalent).
- Strong understanding of prompt engineering, AI agent frameworks, and conversational AI systems.
- Experience building Agentic AI applications using Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks.
- Hands-on experience with MCP servers, tool integration, API orchestration, and enterprise system connectivity.
- Proficiency in Python, TypeScript, or similar programming languages.
- Familiarity with RAG architectures, vector databases, embeddings, and knowledge retrieval systems.
- Understanding of cloud platforms such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Strong problem-solving, analytical, and collaboration skills.
Preferred Qualifications
- Experience building enterprise copilots, AI assistants, or autonomous agent ecosystems.
- Knowledge of AI governance, responsible AI, and security best practices.
- Experience integrating AI agents with healthcare, health records, or regulated industry systems
All your information will be kept confidential according to EEO guidelines.
Similar Jobs
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Develop and scale full-stack web applications for Toast’s digital storefront, including online ordering and website products. Design solutions, improve performance and usability, collaborate with Product and Design, run experiments, resolve critical issues, and contribute to API design, testing, and cross-team product integration.
Top Skills:
AngularApi DesignBashBootstrapCSSDockerGitHTMLIntegration TestingJavaJavaScriptKotlinNode.jsReactTailwind CssUnit TestingZsh
Cloud • Information Technology • Productivity • Software • Automation
Lead strategic presales architecture and technical engagements for State, Local, and Higher Education customers across North America. Design secure hybrid integration and modernization strategies, support RFPs and public procurement evaluations, lead proofs of value, and communicate with technical and executive stakeholders. Coordinate internal specialists and partners across iPaaS, API Management, master data management, and AI initiatives while addressing public-sector compliance, data sovereignty, runtime infrastructure, and network security requirements.
Top Skills:
Api GatewayApi ManagementApplication IntegrationAWSAws GovcloudBoomi AtomsBoomi DatahubBoomi Event StreamsBoomi MoleculesCanvasCgi AdvantageCisspCjisEdiEllucian BannerEllucian ColleagueFedrampFerpaGraphQLHipaaHybrid IntegrationInfor Public SectorIpaasKafkaManaged File Transfer (Mft)Master Data ManagementAzureMicrosoft Azure GovernmentNist Sp 800-53RabbitMQRag AiRestSalesforce Education CloudSalesforce Government CloudSAPSap S/4Hana Public SectorSnowflakeSoapStaterampTogafTyler TechnologiesWorkday
Artificial Intelligence • Cloud • Information Technology • Consulting
Manage higher education accounts across Michigan and northern Ohio by building sales pipelines, prospecting, negotiating, and closing complex technology solutions. Develop strategic account plans, expand existing opportunities, cultivate executive and C-level relationships, maintain competitive and IT market expertise, and drive incremental revenue through consultative selling and business development.
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
