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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior, niche AI+DevOps role with a mid-tier brand produces moderate competition.
Highly domain-specific ML, LLM, and MLOps expertise reduces cross-industry transferability.
Explicit 8–12 years plus mandatory DevOps, IaC, and ML production experience enforces strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Lead strategic assessment and architecture of AI/ML systems across enterprise business units to identify operational gaps and high-impact opportunities.
Architect, develop, and deploy full-stack AI-powered applications with ownership of end-to-end pipelines including CI/CD, automated testing, and observability.
Provide technical leadership through mentoring, architectural guidance, and translating AI/ML architectures into business-aligned operational solutions.
Minimum Requirements
Bachelor's or Master's degree in Computer Science or equivalent.
8–12 years of hands-on full-stack development experience.
Proven expertise in DevOps, including CI/CD tooling, deployment workflows, and Infrastructure as Code in production environments.
Work Experience Required: 8–12 years as specified.
Ideal Candidate Profile
Experienced technologist skilled at bridging AI/ML technical solutions with enterprise business processes and transformations.
Strategic thinker with ability to rapidly audit and benchmark complex systems and define prioritized AI/ML roadmaps.
Technical leader comfortable owning full deployment lifecycles and guiding cross-functional teams on AI application development and DevOps best practices.