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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT Program Manager - **Company:** Genesis10 - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Salary:** $120,016.0 - $136,656.0 - **Contract:** Temporary contract - **Skills:** A/B Testing, Agile Methodology, Artificial Intelligence, Confluence, JIRA, Software Documentation, Continuous Integration, Relational Databases, RAID, Python (Programming Language), Scrum Methodology, Reliability Engineering, Large Language Models, Fastapi, Machine Learning Operations, Servicenow - **Published:** August 11, 2026 - **Apply:** https://www.dice.com/job-detail/2f1aead9-1264-4ae6-a058-9e15d1f8c14a ## About the Role * 7+ years leading complex technology projects, including 3+ years delivering AI/ML or LLM-based solutions * Demonstrated success managing multi-team programs with clear outcomes in regulated environments * Strong Agile expertise (Scrum/Kanban) and hybrid planning for platform/model work * Proficiency with Jira/Confluence and standard PM artifacts (RAID, roadmaps, status, budget tracking) * Proven ability to coordinate data, engineering, product, and reliability engineering teams * Excellent written and verbal communication skills * Experience in Project/Program Management (Agile hybrid), AI delivery lifecycle, Risk Controls, and Stakeholder Management * Certifications: PMP, PMI-ACP and/or CSM Desired skills: * Proficiency with ServiceNow (Knowledge & Change), RAID dependency management, and budget/vendor coordination * Familiarity with Python and FastAPI integration patterns * Knowledge of LangChain/LangGraph concepts, RAG workflows, and vector relational database basics * Understanding of Large Language Model (LLM) evaluation metrics (quality, safety, latency, cost) * Experience with GenAI, agentic systems, and orchestration pipelines * Production Support Experience * Familiarity with model risk management, Responsible AI frameworks, and evaluation tooling * Exposure to LLMOps/MLOps practices (observability, rollback, feature flags, CI/CD for models) * Financial services or similarly regulated industry experience * Comfort collaborating with production support reliability engineers for operational readiness ## Description * Establish and maintain integrated project plans for AI initiatives (milestones, dependencies, critical path) * Run Agile ceremonies (Scrum/Kanban) while adapting to hybrid delivery needs for model and platform work * Manage RAID logs (Risks, Assumptions, Issues, Dependencies) with clear owners, due dates, and mitigations * Coordinate cross-functional delivery across Product, Engineering, RE, Data, and Compliance * Track budgets, vendor engagement, and resourcing; maintain accurate status and forecast reports * Ensure Responsible AI governance including data privacy controls, model risk management, and fairness checks * Drive readiness for production support (runbooks, incident playbooks, SLAs/SLOs, observability) * Partner on release planning, change management, and operational handoffs * Maintain project artifacts in Jira/Confluence and uphold documentation standards * Facilitate stakeholder communications, including executive updates and outcome-based reporting * Support evaluation pipelines (A/B tests, offline benchmarks, red-team testing) for AI features * Align security and compliance reviews with enterprise standards ## Related Videos - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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