Senior Engineering Manager - AI/Agentic Systems
First seen by Alion on Aug 24, 2026.
Role Overview:
We are looking for an Engineering Manager / Senior Engineering Manager to lead and scale high-performing engineering teams building modern, AI-driven products.
This role requires strong people leadership, solid full-stack awareness with a backend expertise (preferred), and hands-on experience building LLM-based agents or agentic AI systems.
You will manage 15-20 engineers, drive execution, and provide technical leadership for scalable, production-grade platforms.
Key Responsibilities:
1. Engineering Leadership & People Management:
- Lead, mentor, and manage 15-20 engineers across multiple teams.
- Own hiring, onboarding, performance management, and career development.
- Build a culture of engineering excellence, accountability, and high ownership.
- Balance strategic thinking with hands-on technical guidance when needed.
2. Technical Ownership & Architecture:
- Provide technical leadership across frontend and backend systems.
- Drive architecture, system design, and technical decision-making.
- Review designs and critical code paths; guide teams through complex engineering challenges.
- Ensure systems are scalable, secure, reliable, and observable.
3. AI / Agentic Systems:
- Lead or contribute to building LLM-based agents or agentic AI products.
- Experience with agent orchestration, tool usage, context management, and evaluation.
- Exposure to voice bots / conversational AI is a strong plus.
4. Delivery & Execution:
- Own delivery commitments and sprint execution across PODs.
- Partner with Product Managers to translate requirements into execution plans.
- Proactively identify risks and ensure predictable, high-quality delivery.
Preferred Technical Skills (First Preference):
1. Frontend (UI):
- React / JavaScript
2. Backend (Preferred):
- Java with Spring Boot
- Python with FastAPI
- Candidates with strong experience in other frontend or backend technologies are also welcome; however, the above stack is strongly preferred.
Other Technical Skills:
- Experience designing and scaling distributed systems and APIs.
- Experience with cloud platforms (AWS or GCP).
- Familiarity with CI/CD, DevOps practices, and observability tools.
- Exposure to AI/ML platforms, prompt engineering, or MLOps is a plus.
Leadership & Behavioral Skills:
- Proven experience managing large teams (1520 engineers).
- Strong ownership and execution mindset.
- Ability to operate effectively in fast-paced, ambiguous environments.
- Excellent communication and stakeholder management skills.
- You are passionate and obsess about building products that users love and admire.
What Were Looking For:
- A leader who can scale teams, own delivery, and drive technical excellence.
- Someone excited about building ML, agentic AI and AI-powered products at scale.
- Comfortable operating across engineering, product, and AI domains.
Requirements added by the job poster:
- 2+ years of work experience with Multi-agent Systems
Skills
Artificial Intelligence, Agentic AI, Technical Architect, Java Architect, IT Product Development