Senior Technical Manager - Applied Agentic AI Systems chez Altaml

Be the hands-on leader shaping the next generation of intelligent, agentic AI products in the Public Sector.About the RoleWe’re looking for a Senior Technical Manager who leads from the front - someone who codes, architects, experiments, and builds alongside the team. You’ll play a pivotal role in designing and delivering applied agentic AI systems that bridge cutting-edge technology and real-world impact. In this role, you’ll be both a technical builder and a strategic connector, translating complex AI capabilities into scalable, reliable, and ethical products for our public sector clients. You’ll collaborate with non-technical client stakeholders across the public sector and internal development and product teams to quickly turn ideas into working systems that make a difference.

What You'll Do:

Lead by doing - design, prototype, and code alongside the team to set technical direction and excellence all with the aim of delighting our clients.

Architect intelligent systems - develop modular, scalable architectures for agentic AI solutions that are integrated into and augmenting workflows. Production is everything.

Bridge outcomes - translate between deep technical details and practical value-driven outcomes, ensuring clarity and alignment across stakeholders and teams.

Drive innovation - evaluate and integrate emerging technologies, frameworks, and AI techniques to keep our solutions ahead of the curve.

Champion engineering excellence - implement best practices in software development, MLOps, and responsible AI, fostering a culture of continuous learning and improvement.

Mentor and grow teams - coach engineers and technical leads, model hands-on leadership, and help recruit exceptional talent as the company scales.

Represent technical thought leadership - Represent the company as a brand ambassador as you engage in the broader AI community, sharing insights and advocating for safe, transparent, and applied agentic AI.

What You Bring:

7+ years experience in software engineering and system architecture, ideally in AI, data, or intelligent systems.

Proven ability to code, design, and deliver production systems, not just manage them.

Strong communication skills to articulate technical concepts clearly to executives, clients, and partners.

A track record of hands-on innovation, experimentation, and learning in emerging technology domains.

Familiarity with agentic AI frameworks, multi-agent systems, or human-in-the-loop architectures.

Passion for responsible AI — building systems that are inclusive, transparent, and aligned with human intent.

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