AI Project Lead - DISTRICT ATTORNEY KINGS COUNTY

AI Project Lead

• DISTRICT ATTORNEY KINGS COUNTY

Posted on

07/30/2026

• Full-time

Location

BROOKLYN

• No exam required

Department

Information Technology

Salary range: $120,000.00 – $140,000.00

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Job Description

• Analyze, design, implement, maintain, and support AI applications and monitoring solutions for enterprise infrastructure systems and platforms.
• Knowledge of infrastructure for AI/ML related tasks (Cloud and on-prem) is required.
• Technical competency in Python is required.
• A successful candidate must be proficient with AI application architecture scoping and design, and proficiency with LLM fine tuning using frameworks such as HuggingFace, LoRA, or PEFT.
• Account for and mitigate risks during design and implementation regarding data security, data integrity, and AI veracity; implement AI audit logging, explainability mechanisms, and human-in-the-loop workflows.
• A successful candidate will have proficiency with implementing LLM guardrails including hallucination mitigation, PII detection and output validation.
• Review and draft training and internal governance, ensuring compliance with agency standards, propose updates to agency standards in line with industry advancements.
• Train, upskill, supervise, and mentor project teams.
• Communicate with end-users, executive stakeholders and IT supervision regarding use cases, project plans, and recommendations.
• Test local solutions; manage on-premises GPU infrastructure for AI inference and training.
• Test cloud compute. Experience with Azure, AWS, and/or GCP is required.
• Design and deploy retrieval-augmented generation (RAG) pipelines, test hybrid environments.
• Oversee testing and reporting of quality assurance and quality control of AI use cases.
• Oversee scale-up, training, and deployment.
• Oversee Event Management, Patch Management, Release Management, Change Management development and processes.
• Monitor industry developments, liaise with vendors regarding new products and technologies.
• Experience managing on-premises GPU infrastructure for AI inference and training workloads.
• User training experience.
• Experience with implementing confidentiality, data security and data integrity protocols; familiarity with government or legal sector data governance requirements including data residency and PII handling.
• Proficiency with the implementation, deployment, and integration of AI applications.
• Experience with automated document processing or de-identification pipelines for sensitive information.
• Experience with speech-to-text pipelines and multilingual NLP or translation workflows.