Senior Software Engineer

Job Type:

Plains is an industry-leading transportation and midstream provider specializing in transportation storage processing and marketing solutions for crude oil. We own an extensive network of pipeline transportation terminalling storage and gathering assets in key oil producing basins and transportation corridors and at major market hubs in the United States and Canada. The company is headquartered in Houston Texas.

Were on the lookout for passionate selfstarters who thrive in fastmoving collaborative and innovative environments.

The Senior Software Engineer is responsible for designing building and guiding the implementation of custom AI enabled solutions with a strong emphasis on Retrieval Augmented Generation agent style orchestration and integration with enterprise platforms. The role partners closely with Platform teams and Product Owners to shape solution designs technical patterns and delivery approaches for AI driven capabilities.

Deep prior AI or LLM experience is not required. Strong software engineering fundamentals architectural thinking and the ability to guide others through complex technical decisions are more important.

Key Responsibilities

Applied AI Architecture and Solution Design

• Lead the technical design of AI enabled applications that support enterprise business workflows including copilots assistants and intelligent automations.

• Define and apply standard patterns for Retrieval Augmented Generation including data ingestion chunking strategies embeddings vector indexing retrieval logic and grounding techniques.

• Design orchestration approaches for AI applications including tool calling agent workflows and MCP style integrations to enterprise systems and services.

• Partner with Platform teams to ensure AI solutions align with enterprise architecture security data governance and cloud standards.

• Act as a technical advisor to Product Owners helping translate business intent into feasible scalable solution designs.

Software Engineering and Integration

• Build and maintain backend services and APIs primarily using Python that support AI applications and integrations.

• Guide implementation decisions to ensure solutions are secure scalable performant and maintainable in production environments.

• Review designs and code for AI solutions developed within the team providing technical direction and setting engineering quality standards.

• Balance rapid experimentation with disciplined engineering practices to move solutions from prototype to production.

Data and Platform Integration

• Design integration patterns between AI applications and structured and unstructured enterprise data sources including SQL based systems lakehouse platforms and document repositories.

• Collaborate with data engineers and platform teams to ensure data products are fit for AI workloads and aligned with governance requirements.

• Advise on tooling and platform choices including Azure AI services and Databricks Apps based on solution needs and enterprise constraints.

Governance Ethics & Risk Management

• Design and implement responsible AI principles including fairness transparency explainability and privacybydesign to be adopted by both platform and enterprise.

• Partner with IS and Risk stakeholders to create policies to ensure AI solutions comply with internal policies regulatory requirements and ethical standards.

• Lead AI governance forums design reviews and risk assessments as required.

Collaboration & Continuous Improvement

• Serve as a senior technical voice within the applied AI practice shaping standards design patterns and reusable components.

• Mentor and guide other engineers helping raise overall engineering and AI application maturity.

• Facilitate technical discussions across teams helping stakeholders navigate tradeoffs related to architecture risk cost and delivery timelines.

• Stay current with applied AI and software engineering trends translating emerging patterns into practical guidance for the organization.

Required Qualifications

Education

• Bachelors degree in Computer Science Engineering Data Science Mathematics or a related field or equivalent practical experience.

• Advanced degree is considered an asset.

Experience

• Senior level experience in software engineering roles with a demonstrated track record of designing and delivering production grade systems.

• Experience leading or influencing technical design decisions across complex solutions including partnering with platform architecture or product teams.

• Hands on experience building backend services and APIs that support business critical applications.

• Experience translating ambiguous business needs into scalable technical solutions and guiding delivery from concept through production.

• Experience operating in enterprise environments with cloud platforms security constraints and data governance considerations.

Technical Skills

• Strong proficiency in Python with experience building and maintaining backend services and APIs.

• Experience working in cloud environments preferably Azure though experience with other major cloud providers is transferable.

• Experience integrating applications with structured and unstructured data sources including SQL based systems and modern data platforms.

• Familiarity with applied AI patterns such as Retrieval Augmented Generation embeddings vector search or agent style orchestration.

• Bonus experience with Databricks Spark or data engineering concepts such as pipelines and lakehouse architectures.

Knowledge & Competencies

• Strong software engineering fundamentals including system design architecture patterns and production readiness.

• Ability to act as a technical advisor guiding Product Owners and stakeholders through design decisions tradeoffs and sequencing.

• Comfort partnering with platform data and security teams to ensure solutions align with enterprise standards.

• Strong problem solving skills and ability to operate effectively in ambiguous fast evolving problem spaces.

• Clear communicator who can explain complex technical concepts to both technical and nontechnical audiences.

• Demonstrated ability to mentor other engineers and positively influence technical practices across a team.

Preferred Qualifications

• Experience with largescale data platforms data lakes or streaming data architectures.

• Experience supporting AI solutions in regulated or risksensitive environments.

• Exposure to optimization forecasting or decisionsupport models.

• Experience working in agile or productoriented delivery models.

#Plains

At Plains our employees are our most valuable asset. Hard work is rewarded with competitive compensation and a top-tier benefits program designed to keep our employees safe healthy and happy. We work hard to deliver the best results to our stakeholders and we also respect our employees need for personal and family time which is reflected in our benefits program.

We are proud to bean Equal Opportunity Employer. We are committed to providing employment opportunities to all qualified individuals without regard to age race color national or ethnic origin religion sex sexual orientation gender identity or expression veteran status genetic information disability or any other characteristic protected by federal state or local with disabilities can request accessible formats communication supports or other accessibility assistance by contacting .

Salary details estimated by job boards such as Indeed Glassdoor and LinkedIn do not represent Plains compensation structure. We thank all candidates for their interest; however only those selected for an interview will be contacted.

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