Senior AI Automation Engineer - Internal Platform
P
phDataData and AI professional services
US, India, LATAM, US time zonesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonGCPGitAzureCI/CDRESTful APIsPrompt EngineeringGenerative AI
Requirements
- 4-year Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
- 5+ years of professional experience developing and deploying automation/RPA solutions and AI/ML solutions in a business environment.
- Experience with enterprise integration patterns, APIs, and connecting disparate business systems.
- Demonstrated experience across both AI/ML and process automation (e.g., RPA, Power Automate, scripting, workflow tools).
- Proven ability to work directly with business stakeholders to assess feasibility, gather requirements, and translate business problems into technical solutions.
- Strong proficiency in software development (Python preferred), with hands-on experience building production-grade applications and workflows.
- Familiarity with professional software development workflows: Git-based source control, branching strategies, code review, and effective team collaboration on shared codebases.
- Exposure to agile development methodologies, CI/CD practices, and collaborative development environments.
- Basic experience deploying cloud services and APIs for AI workloads (AWS, Azure, or Google Cloud).
- Strong analytical and problem-solving capabilities with a demonstrated ability to assess business processes and identify automation opportunities.
- Excellent communication skills for explaining technical information to both technical and non-technical audiences.
- Ability to adapt to evolving technology landscapes and work collaboratively in multidisciplinary teams.
- Experience with generative AI, large language models (LLMs), prompt engineering, and AI agent frameworks/platforms.
Responsibilities
- Partner with business groups to identify AI/automation opportunities, assess feasibility (viability, data, integration, ROI, readiness), translate problems into technical plans, communicate recommendations, and help prioritize demand across the portfolio.
- Design, build, and refine AI-driven applications and agents (RAG, prompt engineering, agent architectures) for internal and occasional client use on platforms like Glean, Microsoft Copilot, and Snowflake Intelligence.
- Implement RPA, scripting, and low-code/no-code workflows to automate repetitive processes, integrate systems and data sources, and operate/optimize automations for reliable, end-to-end execution.
- Write production-grade code for AI and automation solutions with strong documentation, testing, and SDLC discipline, using modern engineering practices (Git, code review, CI/CD) to ensure quality and maintainability.
- Work with cross-functional teams to deliver solutions, clearly communicate value to technical and non-technical stakeholders, and align work with priorities through agile planning.
- Share best practices, track and experiment with emerging AI/automation tools, inform leadership through prototypes and production learnings, and help select and operate secure, governed cloud AI services.
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