We are looking for an AI Tech Lead to join our M&T engineering organization - the team behind a live, high-availability TV platform serving telecom and media companies worldwide at 99.995% SLA on AWS.
Were not looking for someone who talks about AI strategy. Were looking for someone who picks up a real problem, finds where AI creates a step-change, and makes it happen.
This is an individual contributor role reporting directly to the VP R&D. Youll be embedded in M&T but will work closely with engineering teams across our R&D - contributing your AI expertise to shared initiatives, building collaborative relationships, and helping move technical work forward together.
If youre the kind of engineer who gets restless when theres a better way and no one is building it yet - this role is for you.
The day-to-day:
Lead AI-driven initiatives across M&T engineering - from scoping and architecture through hands-on execution
Drive adoption of AI tooling and practices across Dev and DevOps teams, both within M&T and cross-org
Identify opportunities where AI can improve engineering velocity, incident response, cost efficiency, and system reliability. Work across teams and departments - align stakeholders, unblock dependencies, and keep initiatives moving
Collaborate with group managers and engineers to translate AI capabilities into practical, production-grade solutions
Stay ahead of the curve: evaluate emerging AI tools, frameworks, and approaches and bring the relevant ones in
The perks:
Hybrid, flexible work environment
Extended private health (including mental) insurance
Personal and professional development programs
Occasional Cross company long weekends.
Requirements: Ideally, were looking for:
7+ years of software engineering experience, with at least 3 years focused on AI/ML in production environments
Hands-on experience with both Dev (backend services, APIs, microservices) and DevOps (CI/CD, infrastructure, observability, cloud operations)
Proven experience building or integrating AI/ML solutions in cloud-native, distributed systems (AWS preferred)
Strong understanding of observability concepts: metrics, logs, traces, alerting, anomaly detection T
Experience driving technical initiatives across multiple teams without direct authority
Excellent communication skills - ability to translate complex AI concepts for non-AI engineers and push for outcomes in a multi-stakeholder environment
These would also be nice:
Experience with LLMs, RAG pipelines, or AI agents applied to engineering operations (AIOps)
Familiarity with Kubernetes, Grafana, or similar operational tooling
Background in media tech, video streaming, or telecom platforms
Experience with Databricks, MLflow, or similar ML platform tooling
Track record of introducing AI tooling that improved team velocity or system reliability at scale.
This position is open to all candidates.