AI Automation Engineer- For W2

Must have: Strong Python Development Skills Hands on experience on Continue.dev, Microsoft Copilot Studio, and Claude Code Proven experience designing and implementing end-to-end AI-driven business process automation solutions, including workflow orchestration, API integrations, and enterprise system connectivity (Agentic AI) Strong hands-on expertise with AI-assisted development tools and frameworks such as Continue.dev, Microsoft Copilot Studio, and Claude Code, with the ability to accelerate development, testing, and deployment cycles. Advanced software engineering and automation skills across Python, JavaScript/TypeScript, REST APIs, cloud platforms, CI/CD pipelines, and modern application architecture, with a focus on scalable and secure enterprise solutions. Ability to work directly with business stakeholders to translate operational requirements into AI-enabled automation use cases, while ensuring strong governance, documentation, risk controls, and measurable business outcomes. Initial use cases: Leverage the tools in AI that we have available (primarily Co-Pilot Studio) to create agents connecting to mailboxes, One Drive, SharePoint Transactions – Foreign Central Banks transactions – finding anomalies and summarizing findings Connectors to MS Dynamics to parse emails to update CRM Need someone that knows integrations and leverage Studio and agents. Databricks nice to have Machine Learning algorithms, AWS Bedrock API, Domino We want to operate in learning environment Roles & Responsibilities: Bachelors in IT related field, Computer science preferred or equivalent. Job Description We are seeking a highly skilled AI Automation Engineer to design, build, and scale AI-driven enterprise automation solutions leveraging Agentic AI frameworks. The role requires deep expertise in Python-based development, AI-assisted engineering, and end-to-end automation architecture, enabling measurable business transformation through intelligent workflows. Design and implement end-to-end AI-driven automation solutions, including workflow orchestration, API integrations, and enterprise system connectivity using Agentic AI paradigms Develop and deploy Python-centric automation frameworks and services, ensuring high performance, scalability, and security across enterprise environments Leverage AI-assisted development tools (e.g., Microsoft Copilot Studio, Continue.dev, Claude Code) to accelerate development cycles, testing, and Build and integrate RESTful APIs, microservices, and event-driven architectures to enable seamless data and system interoperability Collaborate with business stakeholders to translate operational needs into AI-enabled automation use cases with clear ROI and measurable outcomes Ensure strong governance, documentation, compliance, and risk controls across all automation initiatives Implement and manage CI/CD pipelines and cloud-native deployments for continuous delivery of AI-powered solutions Drive adoption of best practices in software engineering, AI automation, and enterprise architecture Required Skills & Qualifications Core Technical Skills Strong programming expertise in Python (mandatory), with experience in automation, scripting, and backend development Proficiency in JavaScript/TypeScript and modern application development framework Show more Show less