job summary:
Lead end-to-end project planning and execution for AI programs-spanning discovery, prototyping, pilot, and production. Partner with the AI Product Owner, Agentic Framework Engineer, Full-Stack Developer, and REs to manage scope, timelines, dependencies, and governance. Own delivery cadences, RAID management, stakeholder communication, and operational readiness (support, monitoring, knowledge management).
location: Chicago, Illinois
job type: Contract
salary: $54.09 - 64.09 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
- 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 (Agentic Full-Stack), RE, Data, and Compliance
- Track budgets, vendor engagement, and resourcing; maintain accurate status and forecast reports
- Ensure Responsible AI governance: data privacy controls, model risk management, bias fairness checks, explainability, human-in-the-loop processes
- Drive readiness for production support (runbooks, incident playbooks, SLAs/SLOs, observability, ServiceNow Knowledge Management alignment)
- Partner on release planning, change management, and operational handoffs; ensure post-launch retrospectives and continuous improvement
- Maintain project artifacts in Jira/Confluence; uphold documentation standards (JSON-first specs where applicable)
- Facilitate stakeholder communications: executive updates, decision logs, and outcome-based reporting (KPIs/OKRs)
- Support evaluation pipelines (A/B tests, offline benchmarks, red-team testing) and acceptance criteria for AI features
- Align security and compliance reviews (access controls, audit trails, policy exceptions) with enterprise standards
qualifications:
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 verbal communication
Certifications: PMP, PMI-ACP and/or CSM
Experience with GenAI, agentic systems, LangChain/LangGraph orchestration, and RAG 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 (SLOs, incident playbooks, post-mortems)
skills:
A/B tests,Agile,AI,AI features,audit trails,Confluence,CI/CD,FastAPI,Jira,JSON,knowledge management,Large Language Model (LLM),LLM-based,latency,LLMOps,MLOps practices,Python,RAID,relational database,reliability engineering,Scrum,ServiceNow,documentation standards,AI Product,adapting,verbal communication,Coordinate,reliability,acceptance criteria,access controls,budget tracking,budgets,Budget,continuous improvement,PMP,change management,prototyping,Responsible AI,data privacy,dependency management,forecast,governance,Kanban,OKRs,Financial services,evaluation metrics,operational readiness,PMI-ACP,production support,Program Management,project planning,project plans,compliance reviews,Risks,Risk,model risk management,safety,stakeholder communication,stakeholder communications,Stakeholder Management,tooling,vendor engagement,workflows
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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