AI-Agent Development Project Manager

The AI Agent Development Project Manager (L7) is a senior delivery leader who owns endtoend execution of AIaugmented software programs. With 1216 years of experience this role blends hands-on AI agent development with program management and people leadership. You will start by managing an AI engineering team and grow the organization to include infrastructure data integration and application teams (frontend and backend). Youll partner closely with Growth Solution Delivery Finance and HR to plan. and deliver outcomes on time on budget and in compliance with client and industry requirements.

Core Responsibilities
Lead a handson AI engineering team initially; expand leadership to multidisciplinary groups across infrastructure data integration and fullstack application development.
Translate business objectives into roadmaps and increment plans; manage scope dependencies risk/issue logs and crossteam alignment.
Partner with Solution Architecture to shape designs for agent frameworks tooluse retrieval workfl ow orchestration guardrails and evaluation harnesses.
Create transparent reporting for executives and clients (OKRs delivery health value realization); steward escalations to resolution.

Qualifications :

1216 years of professional experience delivering software solutions with increasing scope; 5 years leading multiteam programs or consulting delivery.
Handson background building AI agents or LLMenabled applications (tooluse retrieval function calling structured outputs evaluation/telemetry). Hands-on experience coordinating cross-functional teams (engineering data MLOps design QA security infrastructure) and external partners.
Profi ciency in Agile/Lean delivery roadmapping dependency management and executive communication.
Background in software development (e.g. Python/TypeScript) and ability to engage deeply on agent/LLM technical decisions.
Ability to engage deeply with engineers on design/implementation decisions while managing risks timelines and budgets.
Bachelors degree in Computer Science Engineering or related fi eld or equivalent practical experience.

Preferred Experience
Experience with regulated or high-compliance environments (e.g. healthcare life sciences fi nancial services) and privacy-preserving designs. Background in clinical research is a plus.
Demonstrated delivery of AI agent/RAG solutions.
Track record scaling agent platforms (multi-tenant controls feature fl ags policy enforcement service quotas).
Pre-sales experience: discovery estimation solution shaping and SOW/contracting.
Certifi cations or advanced study in AI/ML MLOps or cloud (Azure/AWS/GCP).

Technical Skills
Software Engineers and related roles are expected to demonstrate familiarity with one or more tools languages or frameworks in each of the following categories:
Agent Frameworks & Orchestration: OpenAI Assistants / Realtime APIs Azure OpenAI Anthropic LangChain LlamaIndex DSPy Semantic Kernel function/tool calling MCP design patterns. .
Programming & Data: Python TypeScript/JavaScript; data processing with Pandas/PySpark; embeddings and vector search; SQL/NoSQL.
Model Ops & Serving: vLLM TGI Ollama; Triton/KServe; LoRA/adapters; prompt/version control; cost and latency optimization.
Observability & Telemetry: Langfuse Arize/Phoenix OpenTelemetry for LLMs; traces metrics logs; prompt/model analytics and feedback loops.
Security & Governance: secrets management key isolation content fi ltering policy engines (OPA) PII/PHI handling RBAC/ABAC audit trails.
Dev & Delivery Tooling: GitHub (Projects Actions) GitHub Copilot (Chat/Agents) Jira/Azure Boards Confl uence/Notion feature fl ags.
Cloud & Platforms: Kubernetes (AKS/EKS/GKE/K3s) Helm Terraform/Pulumi; serverless runtimes; message buses/queues; caching layers.

Soft Skills
Excellent project-level communication skills structured thinking and strong stakeholder management.
Bias for measurable outcomes; uses data to drive decisions and tradeoff s.
Coaching mindset; grows leaders and builds psychologically safe high-ownership teams.
Adaptability and resilience in fast-moving ambiguous environments.

Organizational Competencies
Remote Collaboration: Operates eff ectively across time zones with clear written communication and asynchronous rigor.
Continuous Learning: Proactively explores new models frameworks and safety techniques; shares learnings via playbooks and communities of practice.
Cultural Fit: Embodies Veritas Automatas values of innovation integrity and ownership.
Strategic Impact: Connects client strategy to delivery outcomes; builds reusable accelerators that compound over time.

Additional Information :

Why Join Us

At Veritas Automata we connect top engineering talent with clients who are transforming their industries. We provide opportunities to work on impactful regulated technologies that make a difference in life sciences healthcare and beyond.

Additional Information 

Employment with Veritas Automata is on an at-will basis meaning either the employee or the company may terminate the employment relationship at any time with or without cause or advance notice.

Veritas Automata is committed to providing reasonable accommodations for qualified individuals with disabilities. If you require assistance or accommodation due to a disability please contact

Candidates must be legally authorized to work in the United States without sponsorship now or in the future. Employment is subject to verification.

We are an equal opportunity employer and prohibit discrimination and harassment of any kind. All employment decisions are based on business needs job requirements and qualifications without regard to race color religion gender sexual orientation age disability or any other status protected by law.

Remote Work :

Yes

Employment Type :

Full-time