AI Engineer

Beacon Hill Technologies is seeking a highly technical engineer to own end-to-end platform integration and orchestration across our client's AI/ML ecosystem. This role focuses on how systems work together—connecting tools, enabling traceability, orchestrating workflows, and implementing observability across model, data, and infrastructure pipelines. You will play a critical role in ensuring seamless integration between platforms, enforcing structured delivery workflows, and enabling deep visibility into system performance and usage.

3+ years of MLOps or ML platform engineering experience

Strong experience with cloud platforms, specifically Microsoft Azure

Hands-on experience integrating enterprise systems such as ServiceNow

Experience with data platforms, particularly Snowflake

Proficiency in CI/CD pipelines (e.g., Azure DevOps, GitHub)

Experience implementing observability using tools like Datadog

Strong understanding of:

• API integrations and distributed systems
• Telemetry (logs, metrics, traces)
• Workflow automation and orchestration

Familiarity with DevOps practices and release management

Ability to work across multiple teams and understand existing systems quickly

Experience with LLM/AI systems observability, including usage tracking and model metrics

Familiarity with Snowflake Cortex or similar AI/data platform capabilities

Experience designing end-to-end traceability frameworks

Knowledge of data pipeline architecture and data lineage

Experience aligning tagging strategies and identifier schemas across systems

Strong collaboration skills in cross-functional environments