

TrustNet Technologies
AI Delivery Lead (Hybrid – California)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Delivery Lead (Hybrid – California), with a contract length of "unknown" and a pay rate of "unknown." Requires 7+ years in technology delivery, 3+ years in AI/ML, and proficiency in project management tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
June 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
California, United States
-
🧠 - Skills detailed
#Documentation #ML (Machine Learning) #Data Science #Project Management #ChatGPT #Data Privacy #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Agile #Predictive Modeling #Leadership #Computer Science #Compliance #Scrum #Azure #API (Application Programming Interface) #Cloud #Data Security #Scala #"ETL (Extract #Transform #Load)" #Jira #Security
Role description
AI Delivery Lead (Hybrid – California)
Role Summary
The AI Delivery Lead is a key team member who bridges technical hands-on expertise with delivery and program leadership. This is a newly created role supporting our artificial intelligence transformation initiatives. As an AI Delivery Lead, you will manage concurrent AI/ML workstreams, guide platform and governance decisions, and collaborate across business units to deliver scalable, high-impact AI solutions aligned with organizational priorities.
Responsibilities
Project Delivery & Program Management
• Lead and manage AI/ML project delivery across multiple concurrent workstreams, ensuring on-time, on-scope execution.
• Establish and track key performance indicators (KPIs) for project deliverables and report progress to stakeholders.
• Collaborate using project management tools including Jira, Clarity, and MS Project.
• Manage cross-functional teams in a matrixed environment and coordinate with multiple internal business units.
Technical Execution & Architecture
• Provide hands-on technical expertise in AI implementation — this is not a purely strategic or oversight role.
• Work with a range of AI technologies and platforms, including AWS AI services, Microsoft Copilot, ChatGPT Enterprise, and custom LLM solutions.
• Evaluate and recommend enabling AI and data platform technologies as part of ongoing engagements.
• Deliver technical documentation, cloud architecture diagrams, and API manuals.
• Support generative AI initiatives, traditional machine learning/predictive analytics, and data analytics/reporting projects, with priorities driven by evolving business needs.
Governance & Standards
• Help define and mature AI governance frameworks, security standards, and responsible AI practices.
• Ensure AI solutions are developed and deployed in alignment with data privacy, compliance, and organizational policies.
Collaboration & Stakeholder Engagement
• Partner with business units to understand requirements and translate them into actionable AI delivery plans.
• Facilitate cross-functional alignment and remove delivery blockers across technical and business teams.
• Communicate project status, risks, and outcomes clearly to both technical and non-technical audiences.
Requirements
• BA/BS degree in Computer Science, Engineering, Data Science, or a related field; equivalent experience considered.
• 7+ years of experience in technology delivery, with at least 3+ years focused on AI/ML projects.
• Demonstrated hands-on experience implementing AI solutions — not limited to strategic oversight.
• Experience with cloud AI platforms (AWS AI/ML services, Azure OpenAI, or equivalent) and LLM-based solutions.
• Proficiency with project management tools: Jira, MS Project, and/or Clarity.
• Experience delivering technical documentation, architecture diagrams, and API documentation.
• Strong understanding of AI governance, data security, and responsible AI principles.
• Proven ability to manage cross-functional teams in matrixed or large enterprise environments.
• Experience with Agile methodologies (Scrum, SAFe, or equivalent).
• Excellent communication skills, both written and verbal, with the ability to present to executive stakeholders.
• Ability to work onsite with clients in the same geographic market as required by the hybrid schedule.
Nice to Have
• Experience with generative AI platforms (e.g., ChatGPT Enterprise, Microsoft Copilot).
• Background in data analytics, predictive modeling, or ML engineering.
• Relevant certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, PMP, SAFe).
AI Delivery Lead (Hybrid – California)
Role Summary
The AI Delivery Lead is a key team member who bridges technical hands-on expertise with delivery and program leadership. This is a newly created role supporting our artificial intelligence transformation initiatives. As an AI Delivery Lead, you will manage concurrent AI/ML workstreams, guide platform and governance decisions, and collaborate across business units to deliver scalable, high-impact AI solutions aligned with organizational priorities.
Responsibilities
Project Delivery & Program Management
• Lead and manage AI/ML project delivery across multiple concurrent workstreams, ensuring on-time, on-scope execution.
• Establish and track key performance indicators (KPIs) for project deliverables and report progress to stakeholders.
• Collaborate using project management tools including Jira, Clarity, and MS Project.
• Manage cross-functional teams in a matrixed environment and coordinate with multiple internal business units.
Technical Execution & Architecture
• Provide hands-on technical expertise in AI implementation — this is not a purely strategic or oversight role.
• Work with a range of AI technologies and platforms, including AWS AI services, Microsoft Copilot, ChatGPT Enterprise, and custom LLM solutions.
• Evaluate and recommend enabling AI and data platform technologies as part of ongoing engagements.
• Deliver technical documentation, cloud architecture diagrams, and API manuals.
• Support generative AI initiatives, traditional machine learning/predictive analytics, and data analytics/reporting projects, with priorities driven by evolving business needs.
Governance & Standards
• Help define and mature AI governance frameworks, security standards, and responsible AI practices.
• Ensure AI solutions are developed and deployed in alignment with data privacy, compliance, and organizational policies.
Collaboration & Stakeholder Engagement
• Partner with business units to understand requirements and translate them into actionable AI delivery plans.
• Facilitate cross-functional alignment and remove delivery blockers across technical and business teams.
• Communicate project status, risks, and outcomes clearly to both technical and non-technical audiences.
Requirements
• BA/BS degree in Computer Science, Engineering, Data Science, or a related field; equivalent experience considered.
• 7+ years of experience in technology delivery, with at least 3+ years focused on AI/ML projects.
• Demonstrated hands-on experience implementing AI solutions — not limited to strategic oversight.
• Experience with cloud AI platforms (AWS AI/ML services, Azure OpenAI, or equivalent) and LLM-based solutions.
• Proficiency with project management tools: Jira, MS Project, and/or Clarity.
• Experience delivering technical documentation, architecture diagrams, and API documentation.
• Strong understanding of AI governance, data security, and responsible AI principles.
• Proven ability to manage cross-functional teams in matrixed or large enterprise environments.
• Experience with Agile methodologies (Scrum, SAFe, or equivalent).
• Excellent communication skills, both written and verbal, with the ability to present to executive stakeholders.
• Ability to work onsite with clients in the same geographic market as required by the hybrid schedule.
Nice to Have
• Experience with generative AI platforms (e.g., ChatGPT Enterprise, Microsoft Copilot).
• Background in data analytics, predictive modeling, or ML engineering.
• Relevant certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, PMP, SAFe).






