​This is a Direct Hire role based in Philadelphia, PA. Despite the “Project Manager” title in the header, the description specifies a Director-level scope, requiring a leader who can bridge the gap between high-level strategic vision and hands-on technical execution. You will be the primary architect of the AI roadmap, moving initiatives from the conceptual phase into production-ready, compliant, and scalable AI/ML solutions.

• ​Location: Philadelphia, PA (Direct Hire).
• ​Experience Required: 3+ years specifically managing AI/ML products or technical initiatives.
• ​Core Tech: LLMs, RAG (Retrieval-Augmented Generation), and Agentic AI frameworks.
• ​Compliance Bar: High focus on NIST and SOC-2 standards for AI.
• ​Preferred Ecosystem: AWS AI delivery experience.

​Key Responsibilities: From Strategy to Production

​This role is designed for a technical leader who understands that AI success is measured by ROI and latency, not just innovation.

​AI Roadmap & Technical Delivery

​You will lead the end-to-end execution of the company’s AI roadmap. This involves translating complex business needs into actionable technical requirements, including the development of ML models and “Agentic” capabilities (AI agents that can take autonomous actions).

​Success Metrics & Optimization

​You are responsible for defining and tracking the KPIs that matter for AI production. This includes accuracy (model performance), latency (speed of inference), and ROI (business value). You will ensure that AI solutions aren’t just “cool” but are efficient and cost-effective.

​Compliance and Security Governance

​A standout requirement for this role is ensuring that all AI initiatives meet NIST and SOC-2 compliance standards. You will be the gatekeeper for data privacy and security within the AI/ML workflows, ensuring that model training and data handling follow strict regulatory guidelines.

​Cross-Functional Coordination

​You will act as the “connective tissue” between data scientists, software engineers, and non-technical business stakeholders. Your goal is to ensure seamless adoption of AI tools across the organization through clear communication and data-driven decision-making.

​What You Bring: Technical & Leadership Profile

• ​AI Expertise: Deep understanding of LLMs, RAG, and Agentic AI. You should be familiar with how to move a model from a notebook to a production environment.
• ​Regulatory Knowledge: Proven experience navigating SOC-2 and NIST frameworks, specifically in how they apply to data and AI.
• ​Data-Driven Mindset: Strong analytical skills with the ability to justify technical decisions using performance metrics.
• ​Education: Bachelor’s degree in CS, Data Science, or InfoSec.
• ​Agility: The ability to provide “hands-on” leadership in a fast-paced environment where AI standards are constantly evolving.

​Summary of the “Production-Ready” Focus

​Unlike general project management, this role emphasizes AI Engineering Management:

• ​RAG Implementation: Ensuring the accuracy of retrieval systems.
• ​AWS Delivery: Leveraging AWS-specific AI tools (like SageMaker or Bedrock) for deployment.
• ​Agentic Frameworks: Designing AI that doesn’t just answer questions but performs tasks.