Veritas Automata, is a technology consulting and software development company dedicated to delivering innovative solutions that drive business success. We combine expertise in automation, AI, and advanced technology to enhance operational effi ciency and streamline complex processes. We provide tailored, cutting-edge solutions to address evolving business challenges and create high-impact solutions that empower our clients and drive continuous improvement.

The AI Agent Development Project Manager (L7) is a senior delivery leader who owns end‑to‑end execution of AI‑augmented software programs. With 12–16 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 (front‑end and back‑end). You’ll 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 hands‑on AI engineering team initially; expand leadership to multi‑disciplinary groups across infrastructure, data, integration, and full‑stack application development.
● Translate business objectives into roadmaps and increment plans; manage scope, dependencies, risk/issue logs, and cross‑team alignment.
● Partner with Solution Architecture to shape designs for agent frameworks, tool‑use, retrieval, workfl ow orchestration, guardrails, and evaluation harnesses.
● Create transparent reporting for executives and clients (OKRs, delivery health, value realization); steward escalations to resolution.

● 12–16 years of professional experience delivering software solutions with increasing scope; 5+ years leading multi‑team programs or consulting delivery.
● Hands‑on background building AI agents or LLM‑enabled applications (tool‑use, 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.
● Bachelor’s 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, financial 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 flags, policy enforcement, service quotas).
● Pre-sales experience: discovery, estimation, solution shaping, and SOW/contracting.
● Certifications 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, Confluence/Notion, feature flags.
● 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 effectively 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 Automata’s values of innovation, integrity, and ownership.
● Strategic Impact: Connects client strategy to delivery outcomes; builds reusable accelerators that compound over time.

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 peoplecare@veritasautomata.com.

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.

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