Specialist Technical Support Engineer (AI Solutions)
Core
Provide senior-level L2/L3 engineering support for AI-powered solutions in production environments, combining deep troubleshooting expertise with software engineering capabilities.
Role type
Senior IC specialist technical support engineer (AI solutions)
Builds
High availability and performance of critical agentic AI applications, cloud infrastructure, APIs, and data platforms
Domain
Enterprise AI, Cloud Infrastructure, Data Engineering
Deliverable
production ML models
Required skills
Python development, SQL, distributed systems, cloud environment support, Snowflake data platform, API troubleshooting, microservices, event-driven architectures, CI/CD pipelines, observability tools, IAM and enterprise security, Agentic AI frameworks, LLM platforms, RAG architectures, AWS services, workflow orchestration platforms
Preferred skills
ServiceNow or Jira Service Management, AI guardrails and governance frameworks
Technologies
LangGraph, LangChain, PydanticAI, AutoGen, CrewAI, Semantic Kernel, OpenAI, Azure OpenAI, Anthropic Claude, Amazon Bedrock, Snowflake Cortex, Google Gemini, MCP, Snowpark, Lambda, ECS/Fargate, Step Functions, EventBridge, SQS/SNS, API Gateway, CloudWatch, Airflow, Temporal, dbt
Responsibilities
Own and resolve complex P1/P2 incidents across agentic AI, cloud, data, and application layers; Diagnose and troubleshoot AI agent workflows, LLM integrations, RAG pipelines, APIs, MCP tools, and orchestration failures; Analyze Snowflake and AWS environments to identify performance, security, data, and integration issues; Perform code-level debugging, implement fixes, and develop regression tests for production issues; Monitor system health using observability and LLMOps tools, proactively identifying reliability risks; Support automation frameworks, event-driven workflows, and data pipelines to ensure consistent operations; Improve operational maturity through runbooks, alerts, knowledge articles, and continuous improvement initiatives; Collaborate with engineering, architecture, product, and business teams to drive successful AI solution adoption; Ensure governance, security, auditability, and safe execution of autonomous AI workflows
Seniority
Senior, hands-on IC