Sr Technical Analyst AI Agent Automation

AllSTEM Connections
San Francisco, CA, United States
12 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Shift work
Job source

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Amazon S3 JIRA Cloud Computing Cloud Engineering Continuous Integration Data Infrastructure Data Security Dataspaces Identity and Access Management
+23 more
Log Analysis Scaled Agile Framework Delivery Pipeline Large Language Models Grafana Multi-Agent Systems Prompt Engineering Software Security State Machines Model Validation Agentic-AI Gitlab Cloudformation Servicebus Gitlab-ci Amazon Bedrock Enterprise Integration Data Management Virtual Agents Cloudwatch Terraform Data Pipelines Databricks

Job description

We are seeking an experienced a Senior Technical Analyst - AI Agent Automation & Cloud Support for a one-year assignment to support, implement, and modernize data management operations using advanced cloud technologies and intelligent automation. In this hands-on technical role, you will design, build, and deploy AWS AI Agents (using Amazon Bedrock) to automate repetitive support tasks, streamline incident triage, and integrate intelligent workflows across complex data ecosystems.

Operating within a Scaled Agile Framework (SAFe) environment, this role offers an exciting opportunity to drive digital transformation, maintain operational observability, and build scalable automated pipelines supporting a major multi-district data platform initiative., * AI Agent Development & Automation: Design, build, and deploy AWS AI Agents using Amazon Bedrock Agents to automate support operations, incident triage, log analysis, and alert correlation. Develop custom agent skills and action groups to extend operational capabilities.

  • Production Support & Observability Integration: Integrate AI agents with core observability platforms (CloudWatch, Grafana, Container Insights) to enable intelligent, automated responses to production events. Translate manual runbooks and Standard Operating Procedures (SOPs) into automated agent-driven workflows.
  • Data Pipeline & Infrastructure Integration: Work with Databricks data pipelines to ensure AI agents can access operational and support data for robust decision-making. Build and manage CI/CD deployment pipelines using GitLab.
  • Governance, Compliance & Documentation: Ensure all agent architectures align with strict governance, data privacy, model risk, and regulatory standards. Document agent workflows, system logic, and runbooks for technical auditors and support teams.
  • Training & Enablement: Deliver training sessions, workshops, and knowledge-transfer documentation to empower internal support staff and end users on newly automated tools and workflows. Participate in scheduled on-call rotations (8:00 AM-2:00 PM ET or 2:00 PM-8:00 PM ET, Monday through Friday)., AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. _Participation_Poster_ES.pdf

We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Requirements

  • AI Agents & LLM Orchestration: Hands-on experience building and deploying AWS AI Agents specifically using Amazon Bedrock Agents, including prompt engineering, knowledge bases, agent orchestration, and designing custom action groups.
  • AWS Cloud & Automation Services: Strong experience with core AWS services (Lambda, Bedrock, S3, IAM, CloudWatch, EventBridge, Step Functions) and Infrastructure-as-Code frameworks (Terraform or CloudFormation).
  • Observability & CI/CD Tooling: Proven experience integrating automation solutions with observability stacks (CloudWatch, Grafana, Container Insights) and managing deployment pipelines using GitLab CI/CD.
  • Data Ecosystems: Working knowledge of Databricks for data access, pipeline integration, and supporting operational decision-making.
  • Governance & Regulatory Standards: Understanding of AI/ML governance considerations, model risk, data privacy, and secure deployment practices within regulated or financial services environments.
  • Agile/SAFe Framework: Experience delivering technical solutions within an Agile/SAFe environment utilizing tracking tools like Jira.

Soft Skills & Core Competencies

  • Excellent verbal and written communication skills with the ability to train, mentor, and simplify technical concepts for both technical and non-technical audiences.
  • Patient and effective mentor dedicated to building up team capabilities and driving self-sufficiency.
  • Strong collaboration skills across cross-functional teams, including platform engineering, security, support, and end users.
  • Self-starter capable of working independently while maintaining a strong customer-service orientation.

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