AI Led Engineering - Enterprise AI
$150k - $220kFull-time
Bestinfo Systems LLC
AI Led Engineering – Enterprise AI, Cloud and Platform Transformation_New York, Bay Area, Dallas, or Chicago_Hybrid_Full-Time
Position: AI Led Engineering – Enterprise AI, Cloud and Platform Transformation
Locations: New York, Bay Area, Dallas, or Chicago
Work model: Hybrid, with no fully remote option.
Travel: approximately 25% when necessary.
Office attendance: the exact weekly onsite schedule remains pending.
Compensation guidance: USD 150,000–220,000 annual base, with potential flexibility.
AI Led Engineering – Enterprise AI, Cloud and Platform Transformation
Role overview: A senior technical leader combining enterprise AI engineering, cloud/platform architecture, DevOps/SRE and observability to modernize mission-critical systems and operational processes.
Key Responsibilities:
- Lead architecture and engineering for enterprise AI, cloud and platform transformation initiatives.
- Design production-ready AI/ML and GenAI capabilities and integrate them with enterprise platforms.
- Improve reliability, automation, deployment, monitoring and operational performance of mission-critical systems.
- Guide platform engineering, CI/CD, container orchestration, infrastructure automation and observability practices.
- Address security, governance, scalability and operational requirements in enterprise or regulated environments.
Required Experience and Technical Skills:
- Target profile: 12+ years across AI, DevOps, cloud, SRE or platform disciplines.
- Target profile: 3+ years hands-on AI stack experience and 5+ years enterprise platform design experience.
- Target profile: 3+ years AIOps/observability experience.
- Python is mandatory.
- Experience with enterprise cloud architecture and production AI/ML or GenAI systems.
- Knowledge of cloud platforms such as AWS, Azure or GCP; CI/CD; Kubernetes; Docker; Terraform; and platform automation.
Preferred / Additional Experience:
- GenAI/LLM/RAG, vector databases, model lifecycle, AWS Bedrock or SageMaker, and MCP/agent integrations.
- Tools such as Kiro, GitHub Copilot, Datadog, Dynatrace, Splunk, Prometheus or OpenTelemetry.
- Service mesh, SRE practices, AIOps and observability in complex enterprise environments.
What Candidates Should Be Able to Demonstrate
- A specific enterprise platform or AI transformation personally led or implemented.
- Evidence of hands-on Python and AI stack work, plus enterprise platform design.
- Examples of AIOps/observability, reliability improvements, automation, deployment outcomes or measurable operational impact.
Vacancy posted 21 hours ago
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