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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate production-grade AI and agentic workflows across the software development lifecycle (SDLC) to materially improve engineering productivity and business processes.
Architect and deliver a scalable internal AI platform with reusable services, infrastructure, observability, security, and operational guardrails for AI-powered automation.
Lead technical strategy and influence across engineering teams by identifying high-impact AI automation opportunities and driving solutions from concept to production at scale.
Minimum Requirements
10+ years professional software engineering experience with complex production-scale systems.
Hands-on experience designing, building, and operationalizing AI/ML or generative AI solutions that deliver measurable business outcomes.
Strong expertise in system design, software architecture, cloud-native infrastructure (GCP and/or AWS), DevOps, security, and end-to-end SDLC workflows.
Programming proficiency in Java, Python, Go or equivalent production languages; experience with LLMs, generative AI, or agentic AI beyond tooling consumption.
Ideal Candidate Profile
Senior engineer with deep full lifecycle AI engineering experience spanning production AI systems integrated with backend/distributed platforms.
Strong operational focus on scalability, security, observability, reliability, and maintenance of AI-enabled cloud-native workflows.
Strategic thinker capable of translating ambiguous business challenges into pragmatic technical architectures and measurable outcomes, influencing cross-team technical direction.
