AI Automation Engineer

Details:


Stefanini Group is hiring!

Stefanini is looking for AI Automation Engineer -Remote

For quick apply, please contact Vaibhav Srivastava; Ph: View phone number on click.appcast.io

Vaibhav View email address on click.appcast.io

W2 Candidates Only

As a Contract Sr. Technical Analyst, you will be hands-on for performing technical analysis and troubleshooting on highly complex integrated systems, including diagnostic approaches, determining root causes, and identifying solutions. You will work with AI Agent Automation & AWS Production Support largely focused on monitoring and observability.

Essential Responsibilities:

• This is a hands-on role. Applicants should not be managers or architects.
• Provide primary technical support to end user community for problems related to software, data issues, data communication and processing errors.
• Monitor application, production and/or implementation support, both technical and user, for new releases.
• Consult on application testing strategies, document observations and coordinate responses.
• Maintain project and application information including schedule, system scope, requirements, and other pertinent documentation. Make recommendations to management regarding process improvements. Coordinate the information flow between business owners and development staff. Coordinate tasks, functional reviews and application development sessions between the development site and technical work groups ensuring steps are executed timely.
• Document end-user interactions into the automated call logging tools for tracking and productivity purposes.
• Validate proposed technical approaches to system or application problem logs and make recommendations for mediation to management.

Job Requirements

Details:


Technical Skills Required:

AI Agents & Automation:

• Hands-on experience building and deploying AWS AI Agents, specifically using Amazon Bedrock Agents.
• Experience designing Agent skills/action groups to extend agent functionality for specific operational tasks.
• Understanding of prompt engineering, knowledge bases, and agent orchestration within Bedrock.
• Experience integrating AI Agents with existing APIs and operational tooling.

AWS Production & Automation:

• Strong hands-on experience with core AWS services: Lambda, Bedrock, S3, IAM, CloudWatch, EventBridge, Step Functions.
• Experience automating AWS production environment tasks (auto-remediation, automated alert handling).
• Familiarity with Infrastructure-as-Code (Terraform/CloudFormation) for agent and automation infrastructure deployment.

Observability Integration:

• Experience integrating AI/automation solutions with observability stacks (CloudWatch, Grafana, Container Insights) to enable intelligent automated actions.

CI/CD & Platform Tools:

• Experience with GitLab CI/CD for automation/agent deployment pipelines.
• Working knowledge of Databricks for data access/integration supporting agent decision-making.

Governance & Compliance:

• Understanding of AI/ML governance considerations - model risk, data privacy, auditability - particularly within regulated/financial services environments.
• Ability to work within client's security and compliance framework for AI/automation deployments.

Support & Enablement:

• Experience translating existing manual support processes/runbooks into automated workflows.
• Strong documentation skills for architecture, agent logic, and governance compliance.
• Ability to train support teams on new automated tools and workflows.

Preferred Qualifications:

• Prior experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails).

Requirements:

• Provide hands-on production support for applications running on Kubernetes and HPC clusters, including incident triage, root cause analysis, and resolution.
• Assess current production support processes and identify opportunities for automation using AI Agents.
• Design, build, and deploy AWS AI Agents (using Amazon Bedrock Agents) to automate repetitive support tasks, incident triage, and operational workflows.
• Develop Agent skills/action groups to extend AI Agent capabilities for specific support use cases (e.g., log analysis, alert correlation, automated remediation).
• Integrate AI Agents with existing observability and monitoring tools (CloudWatch, Grafana, Container Insights) to enable intelligent, automated responses to production issues.
• Collaborate with support, platform, and application teams to translate manual runbooks/SOPs into automated agent-driven workflows.
• Ensure all AI Agent development and deployment aligns with client's security, risk, and regulatory requirements (data handling, model governance, access controls).
• Work with Databricks data pipelines to enable AI Agents to pull relevant operational/support data for decision-making.
• Build CI/CD pipelines (GitLab) for agent deployment, versioning, and lifecycle management.
• Document agent architecture, workflows, and decision logic for support teams and auditors.
• Train and knowledge-transfer to internal support teams on how to use, maintain, and extend AI Agent capabilities.
• Participate in ongoing production support as needed, ensuring continuity between manual and automated processes during transition.
• Demonstrate a high degree of creativity in addressing problems/issues and opportunities.
• Demonstrated concentration on customer service orientation.
• Strong experience in Agile delivery, requirements engineering, backlog development and refinement.
• Strong experience in stakeholder engagement.
• Experience working with distributed teams, and providers of software solutions.
• Broad knowledge of application and data modelling techniques with the ability to identify root cause issues and appropriate solutions.
• Strong experience working in Agile environment/SAFe framework and Agile management tools like Jira.
• Excellent analytical and design skills.
• Excellent verbal and written communication skills - able to train/mentor both technical and non-technical audiences.
• Patient and effective teacher/mentor, comfortable repeating/simplifying technical concepts as needed.
• Strong collaboration skills across cross-functional teams (support, platform engineering, security, end users).
• Self-starter who can work independently while also building up team capability through training.
• Must be willing to be on call periodically from 8am-2pm ET or 2pm-8pm ET Monday through Friday.

#LI-VS1

#LI-REMOTE

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.

About Stefanini Group:

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company

Pay Range:


$ 110.00 - $ 118.00