Technical Project Manager - GenAI/AI Delivery

Affine; Wilmington (DE); On-site; USD 90,000 - 120,000; Full time

Job summary

Affine is seeking a Project Manager specializing in AI, ML, and GenAI initiatives. Located in Wilmington, Delaware, the role involves leading project delivery from inception to execution, emphasizing Agile practices and effective communication with technical teams.

The ideal candidate will hold a Bachelor’s degree in a related field and have at least 2 years of experience managing AI or ML projects. This position requires a strong understanding of the AI lifecycle and the ability to connect technical delivery with business outcomes.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• Experience in technical project or program management, particularly with AI, ML, or GenAI.
• Hands-on experience implementing Agile practices and tooling, especially Jira.

Responsibilities

• Lead end-to-end delivery of AI, ML, and GenAI initiatives.
• Drive Agile execution through sprint planning and retrospectives.
• Establish Agile and Jira-based project management practices in teams.

Skills

Agile practices

AI and ML lifecycle understanding

Project management

Jira

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Cloud data platforms

APIs

Job description

Responsibilities

• Lead end‑to‑end delivery of AI, ML, and GenAI initiatives, from problem framing and planning through execution, deployment, and value realization
• Drive Agile execution by facilitating sprint planning, daily stand‑ups, sprint reviews, and retrospectives while continuously improving team processes and delivery velocity
• Establish Agile and Jira‑based project management practices in teams with low maturity, including defining ways of working, governance, and execution cadence
• Design and configure Jira from the ground up, including boards, workflows, issue hierarchies, custom fields, and reporting tailored to AI delivery needs
• Partner closely with data scientists, ML engineers, software developers, product owners, and business stakeholders to define scope, milestones, success metrics, and dependencies
• Own integrated project plans, risk management, dependency tracking, and communications across cross‑functional teams
• Oversee AI model development and delivery pipelines, including coordination of training, validation, deployment, and enterprise system integration
• Ensure alignment with enterprise data governance, security requirements, and responsible AI or ethical AI standards
• Monitor execution progress, manage budgets and resourcing, and communicate status, risks, and KPIs to senior leaders and sponsors
• Support post‑deployment model lifecycle activities from a delivery perspective, including monitoring, drift management, and retraining coordination
• Manage cross‑functional teams and ensure alignment between technical execution and business priorities
• Lead vendor and partner coordination as needed, including platform providers, tool vendors, and external model or solution partners
• Maintain strong focus on business outcomes by translating AI solutions into measurable operational, productivity, or financial impact

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field (or equivalent practical experience)
• Experience in technical project or program management, with at least 2 years delivering AI, ML, or GenAI initiatives
• Strong understanding of the end‑to‑end AI and ML lifecycle, including data preparation, model training, deployment, monitoring, and ongoing optimization
• Familiarity with GenAI concepts and technologies such as large language models, and prompt engineering
• Hands‑on experience implementing Agile practices and tooling, including standing up Jira workflows and delivery models from scratch
• Working knowledge of enterprise data and technology ecosystems, such as cloud data platforms, APIs, and integrations with ERP, LIMS, historians, or similar systems
• Proven ability to manage complex, cross‑functional teams and navigate technical and business stakeholder needs
• Excellent communication, facilitation, and leadership skills, with the ability to operate comfortably with engineers and senior executives alike
• Strong organizational and analytical skills, with a bias toward execution, transparency, and continuous improvement
• Demonstrated ability to connect technical delivery to business value and outcomes
• Willingness to work onsite in Wilmington, Delaware, at least 4 days per week