Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. - 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025) - Fivetran, dbt, Atlation, and AWS Partner of the Year - #1 Partner in Snowflake Advanced Certifications - 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in the US, India, and LATAM Senior AI Automation Engineer - Internal Platform At phData, the Platform team builds and operates our internal Intelligence Platform, powering our Operations, Sales, Delivery, and Finance teams with data, analytics, and AI‑driven insights. We provide the core data and technology foundation that helps phData run efficiently and make better decisions every day. We are seeking an AI Automation Engineer to join our Platform team. This role will serve as a hands‑on technical partner to business groups across the organization. The ideal candidate brings demonstrated experience in both artificial intelligence and process automation, with a proven ability to assess feasibility, design solutions, and deliver measurable outcomes that create efficiencies and solve real business problems. As an AI Automation Engineer, you will work directly with business stakeholders to understand their challenges, evaluate whether AI, automation, or a combination of both is the right approach, and then design and deliver end‑to‑end solutions. This is a growth‑oriented role for those passionate about using AI and automation to drive impact in how we run phData on AI. What You’ll Do: - Business Engagement & Feasibility Assessment: 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. - AI Solution Development: 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. - Automation & Efficiency: 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. - Development & Code Quality: 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. - Collaborative Development & Cross‑Functional Engagement: 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. - Strategic Support & Professional Growth: 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. Required Experience: - 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. Prefer Any of the Following: - Familiarity with data engineering concepts (ETL/ELT, data pipelines, data warehousing). - Familiarity with the Snowflake Data Platform and cloud data ecosystems. - Experience with business intelligence tools like Sigma Computing. - Experience in the data and AI professional services industry. - Experience conducting structured opportunity assessments, business case development, or cost‑benefit analysis for technology initiatives. - Certifications in AI/ML, RPA, or cloud platforms (AWS, Azure, GCP). - Knowledge of data governance, responsible AI principles, and regulatory compliance for sensitive or regulated industries. Key Attributes for Success: - Consultative Mindset: Naturally engages with business teams to understand the “why” behind requests, asks the right questions, and proposes solutions that address root causes. - Dual‑Skilled: Equally comfortable building an AI agent and designing an automated workflow; understands when to apply AI, when to apply automation, and when to combine both. - Ownership & Follow‑Through: Takes end‑to‑end responsibility for solutions from initial assessment through deployment and ongoing optimization. - Bias Toward Action: Moves things forward with urgency and purpose; doesn’t let ambiguity stall progress and actively seeks opportunities to improve how work gets done. - Collaborative & Influential: Builds trust across teams and stakeholders; can navigate complex organizational dynamics with professionalism and clarity. - Curious & Growth‑Oriented: Stays current with rapidly evolving AI and automation trends; brings new ideas and approaches to the team. - Resilient & Adaptable: Thrives in a fast‑paced, evolving environment; stays composed under pressure and pivots when circumstances change. Why phData: - Work on a high‑impact internal AI and automation platform that directly shapes how phData operates, sells, and delivers for its customers. - Help define how we run phData on data and AI, collaborating closely with stakeholders across Operations, Sales, Delivery, Finance, and IT. - Build on a modern cloud data and AI stack (Snowflake, AWS, Sigma Computing, Glean, GitHub Copilot, and more) with strong support for experimentation and improvement. - Collaborate with experienced data, analytics, and AI practitioners, and play a key role in expanding our internal AI and automation capabilities. - Enjoy a remote‑friendly culture with a distributed team across the globe. Location & Time Zone Expectations This role is based in US and operates primarily in US time zones. - We are a remote-first company, and you should be comfortable working with a distributed global team. - Some flexibility may be required to collaborate across time zones with colleagues and clients. - Client needs may occasionally require flexibility in working hours to support key milestones or workshops. Benefits at phData US: - Remote-First Work Environment - 401k plan with company match - Dental and Vision insurance - Home Office Equipment Stipend - Annual stipend for Learning and Development - Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks) phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

**HOW YOU’LL MAKE AN IMPACT:** - Design, develop, and operate a large-scale PaaS for containerized workloads, acting as the Azure Subject Matter Expert (SME) within the team. - Collaborate with Product Managers and Engineers to plan and implement the technical roadmap for our strategic cloud platform. - Build reliability and fault tolerance into the product, engineering systems that are simple to diagnose and fix. (Participation in out-of-hours support may be required). - Streamline developer workflows by maintaining CI/CD pipelines and automating infrastructure through Terraform and GitOps (Flux). - Guide and support the team by sharing technical knowledge, fostering an environment of performance and continuous learning. - Implement and maintain robust security standards using tools like Hashicorp Vault and OPA Gatekeeper.

• Contribute to our core platform codebase by helping build and maintain shared services such as authentication and identity, API services, and deployment pipelines • Help research and design a future internal platform portal to catalogue our products and services, and centralize self-service workflows • Identify areas of developer toil and friction, and design self-service solutions to reduce repetitive tasks and frequent support requests • Manage CI/CD pipelines and deployment automation for containerized and serverless applications • Partner with Coforma's growth team to deliver innovative solutions and prototypes on our platform • Serve as a Site Reliability Engineer (SRE) and DevOps lead for the innovation department, supporting product and platform vision by helping shape an in-house SRE and DevOps practice • Implement and oversee an observability stack (Grafana, Datadog, OTEL, Sentry, Incident.io) to standardize the monitoring, alerting, incident response, and performance of our products and services • Collaborate across departments as a subject matter expert (SME) to promote SRE best practices and principles within other Engineering and Delivery teams • Help manage our Google Cloud Platform (GCP) environment with a focus on performance, resiliency, and security • Use and promote Infrastructure as Code (IaC) such as Terraform or Pulumi for consistent, secure deployments and change management • Implement shift-left security to help developers ship secure code with minimal friction.

• Design and construct platform infrastructure spanning build, test, deployment, and release workflows across software and hardware environments • Periodic on-call shifts during business hours focused on incident response and operational support for team-owned services • Provide support and troubleshooting to internal customers • Maintain and evolve an internal, multimodal test execution platform across target hardware and simulation, with integration into requirements tracking systems • Develop and operate shared platform services, including workflow orchestration, observability, remote development environments, and authentication infrastructure • Drive engineering quality through reference implementations, best practices, and continuous improvement of platform reliability and scalability • Mentor engineers and elevate technical standards across design, implementation, and operations