AI & Automation Engineer

AI Agent & Automation Engineer Houston, TX Full Time We are expanding our AI and automation capabilities and seeking an experienced AI Agent & Automation Engineer to build production solutions that transform how work gets done across the business. This is a senior, hands-on engineering role focused on designing, building, deploying, and supporting business automations and AI agents in AWS. You’ll combine Python development, APIs, enterprise integrations, workflow automation, and agentic AI to turn manual or fragmented business processes into secure, scalable solutions. From workflow-oriented automation to advanced AI agents capable of executing business tasks, you’ll own solutions through development, deployment, monitoring, and ongoing production support.

Responsibilities Design, build, test, deploy, and support production business automations and AI agents using Python, Amazon Quick Automate, Amazon Bedrock AgentCore, APIs, and other AWS services. Develop maintainable Python components for business logic, data transformations, API interactions, workflow orchestration, and agent capabilities. Design reusable APIs and agent tools using REST/OpenAPI, AWS Lambda, Amazon API Gateway, AgentCore Gateway, and related technologies. Build integrations across enterprise applications and data sources using APIs, native connectors, webhooks, events, authentication, and event-driven or asynchronous workflow patterns. Partner directly with business stakeholders to understand processes and pain points and translate business

requirements into effective automation and agent solutions that deliver measurable value. Move automations and agents reliably through Development, UAT, and Production using source control, CI/CD, infrastructure as code, versioning, testing, approvals, and documented rollback processes. Build security, reliability, and observability into production solutions, including IAM and least-privilege access, secrets management, authentication/authorization, guardrails, audit logging, monitoring, exception handling, and cost awareness. Monitor automation and agent performance, including execution status, failures, tool calls, latency, access denials, usage, and cost using Amazon CloudWatch, OpenTelemetry, and related capabilities. Troubleshoot production issues, perform root-cause analysis, and continuously improve the reliability, scalability, performance, and supportability of automation and AI solutions. Serve as a technical resource for assigned business processes and systems, identifying opportunities for automation, leading process improvements, and helping teams adopt new AI-enabled capabilities. Provide technical guidance, mentoring, and knowledge transfer to peers and project teams while helping establish scalable automation and AI engineering practices. Maintain clear technical designs, workflow documentation, operational runbooks, and other documentation needed to effectively support production solutions. Required

Qualifications

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field preferred; equivalent practical experience will be considered. Minimum 6 years of experience in automation engineering, software engineering, cloud engineering, integration engineering, business systems, or a similar technical role required. Hands-on experience designing, building, deploying, and supporting production business automations required. Strong hands-on Python development experience required, including automation logic, API integrations, data transformations, testing, error handling, and logging. Hands-on AWS experience building automation and integration solutions using services such as Lambda, Step Functions, EventBridge, API Gateway, S3, IAM, Secrets Manager, CloudWatch, or similar services. Strong experience with REST APIs and enterprise integrations, including authentication/authorization, webhooks, events, error handling, and asynchronous or event-driven integration patterns. Experience with production software delivery practices including source control, CI/CD, infrastructure as code, testing, multi-environment deployment, monitoring, logging, security, and operational support. Strong problem-solving and communication skills with the ability to understand business processes, translate

requirements into technical solutions, and collaborate across technical and non-technical teams. Experience building and supporting enterprise AI agents or agentic applications that execute business tasks in production preferred, including experience with Amazon Bedrock AgentCore, Bedrock Guardrails, or comparable technologies. Experience with workflow automation platforms, AI agent testing/evaluation, containerization and operational tooling, or enterprise AI governance practices preferred.

About Us: At Brooksource, relationships are the foundation of everything we do. Since 2000, we've built lasting partnerships with clients, consultants, and internal teams to deliver an exceptional experience across every engagement. As a trusted IT and Engineering services provider, Brooksource supports Fortune 500 organizations through Experience-Driven Staffing, Professional Services, and Elevate, our proprietary Workforce Transformation program. Whether you're hiring for software development, cloud computing, cybersecurity, data analytics, or enterprise IT, our customized staffing solutions are designed to align with your company's unique goals, culture, and technology stack. We offer flexible hiring models, including contract, contract-to-hire, and direct placement to meet your evolving business needs. We are a certified partner of leading platforms, including Salesforce, AWS, Microsoft, and Google Cloud, enabling us to deliver scalable, end-to-end technology solutions. With a growing national footprint, Brooksource is redefining expectations in IT consulting, engineering services, and technology workforce solutions. EEO Statement: Brooksource is an equal opportunity employe