Senior AI Platform Integration Specialist

bp; United States; Hybrid; USD 135,000 - 175,000; Full time

Benefits offered by this job

401K matching

Health insurance

Hybrid work arrangement

Job summary

bp is seeking an experienced Senior AI Platform Integration Specialist to define how AI/ML capabilities connect into the enterprise ecosystem, including Databricks, AWS, Snowflake, and Palantir. You will establish integration standards to ensure secure, observable, and reusable patterns across platforms and applications.

You will shape the Palantir-focused platform strategy and govern AI outputs while maintaining boundaries between AI engineering, workflow execution, ontology ownership, and

Qualifications

• Bachelor’s degree in engineering, CS, information systems, or equivalent work experience.
• Experience designing enterprise integration patterns across AI/ML platforms, data platforms, APIs, applications, and workflow systems.
• Understanding of where AI/ML capabilities should be engineered and outputs consumed.
• Experience designing patterns for model outputs to be used by business systems.
• Experience with API design, event-driven architecture, and data governance.
• Ability to create reusable reference architectures and guardrails.

Responsibilities

• Define how AI/ML capabilities connect into the enterprise ecosystem with standards.
• Design integrations for security, lineage, observability, auditability, reliability, and ops support.
• Define enterprise integration patterns across Databricks, AWS, Snowflake, Palantir, APIs, and BI tools.
• Co-create reference architectures for AI capabilities to be consumed by business systems.
• Define exposure and governance of model outputs, alerts, scores, embeddings, and agents.
• Establish platform decision rules for Databricks, AWS, Snowflake, Palantir, and APIs.
• Create reusable patterns and design standards; prevent bespoke integrations.
• Support federated intake by shaping ideas into reusable architectures.
• Support Palantir as an enterprise workflow and AI-consumption layer.

Skills

Enterprise integration patterns

AI/ML platforms

API design

Security and observability

Data governance

Cross-functional collaboration

Platform boundaries

Palantir Foundry/AIP

Education

Bachelor’s degree in engineering or computer science or related field

Tools

Databricks

AWS

Snowflake

Palantir

APIs

Job description

Job Family Group:

IT&S Group

Job Description:

bpx energy, a major oil and gas producer in the United States, leverages its expertise in unconventional gas, including shale, to deliver hydrocarbon production and technical knowledge worldwide. With operations in Texas and Louisiana, our US onshore business has become both a best-in-class oil and gas producer and a leader in reducing methane emissions. As part of BP, a global industry leader, we foster a high-energy, high-intensity environment built on accountability, collegiality, and empowerment.

Role Overview

bpxenergy is building an enterprise AI capability that requires clear platform roles, reusable integration patterns, and a focused approach to transforming project-based implementations into reusable enterprise capabilities.

The Senior AI Platform Integration Specialist will define how AI/ML capabilities connect into the broader enterprise ecosystem, including Databricks, AWS, Snowflake, Palantir, APIs, applications, BI tools, and operational workflows.

This role is essential to ensuring that AI capabilities are not built as isolated point solutions or made into a single platform by default. The role will help define what belongs where, how AI outputs should be consumed, what integration standards are required, and how platforms work together safely and optimally.

Because Palantir is a strategic enterprise workflow and integration layer, this role will help shape the long-term Palantir platform strategy under the AI/ML Engineering and Architecture Manager. The role will define how Palantir consumes AI/ML outputs while maintaining appropriate boundaries between AI engineering, workflow execution, ontology ownership, and business value delivery.

WhatYou’llDo

• Partner with data, BI, cybersecurity, enterprise architecture, platform, and business teams to align AI/ML integration with enterprise standards.
• Ensure integrations are designed for security, lineage, observability, auditability, reliability, and operational support.
• Define enterprise integration patterns across Databricks, AWS, Snowflake, Palantir, APIs, applications, workflow platforms, and BI tools.
• With Enterprise Architecture, co-create reference architectures for AI/ML capabilities that need to be consumed by business-facing systems or operational workflows.
• Define how model outputs, recommendations, alerts, scores, embeddings, agents, or AI services should be exposed, consumed, governed, and monitored.
• Establish platform decision rules that clarify what belongs in Databricks/AWS, what belongs in Snowflake, what belongs in Palantir, and what should be exposed through APIs or enterprise services.
• Partner with Palantir platform and delivery teams to define approved patterns for AI output consumption, API integration, observability, security, and auditability.
• Help prevent one-off or bespoke integrations by creating reusable patterns, technical guardrails, and design standards.
• Support federated intake and enablement by helping domain teams shape ideas into reusable, supportable architecture patterns.
• Support long-term platform strategy for Palantir as an enterprise workflow and AI-consumption layer.

MinimumRequirements

• Bachelor’s degree in engineering, computer science, information systems, or related field, or equivalent work experience.
• Validated experience designing enterprise integration patterns across AI/ML platforms, data platforms, APIs, applications, and workflow systems.
• Strong understanding of where AI/ML capabilities should be engineered, where data should be governed, where workflows should be executed, and how outputs should be consumed.
• Experience designing technical patterns for model outputs, recommendations, alerts, scores, embeddings, agents, or AI services to be consumed by business-facing systems.
• Practical experience with API design, event-driven architecture, service integration, identity/access controls, data contracts, lineage, observability, and auditability.
• Ability to create reusable reference architectures and prevent one-off, tailored integrations.
• Experience working across technical teams, product teams, platform owners, enterprise architecture, cybersecurity, and business collaborators.
• Ability to evaluate platform fit-for-purpose and define clear boundaries between platforms such as Databricks, AWS, Snowflake, Palantir, BI tools, and custom applications.
• Ability to translate integration strategy into implementable standards, patterns, and decision frameworks.

Palantir-Specific Minimum Requirements

• Proven ability to govern or architect integrations with enterprise workflow, ontology, or operational decision platforms such as Palantir or equivalent.
• Ability to define how AI/ML outputs should be consumed by Palantir while maintaining appropriate boundaries between AI engineering, workflow execution, ontology ownership, and business value delivery.
• Strong understanding of Palantir platform interoperability, API-based integration, data lineage, security, and operational controls in a multi-platform ecosystem.

Strongly Preferred

• Experience with Palantir Foundry/AIP, especially integration patterns, ontology considerations, workflows, and external model/API consumption.
• Experience with Databricks, Snowflake, AWS, APIs, event streams, and enterprise application integration.
• Experience defining platform decision rules: what belongs where, what should be reused, and what requires governance gates.
• Experience in industrial, operational, asset-intensive, regulated, or high-consequence environments.
• Experience designing human-in-the-loop patterns, operational decisioning workflows, or AI-enabled advisory systems.
• Experience translating enterprise architecture into practical enablement materials for delivery teams.

Additional Role Scope Information

This is not a Palantir application delivery role, a traditional enterprise architecture diagramming role, or a single-platform advocacy role. The purpose of this role is to make platforms work together through strict integration, reusable patterns, and clear platform boundaries.

This role is not a fit for candidates whose experience is primarily:

• Palantir-only delivery without broader enterprise integration, AI/ML architecture, or platform-boundary experience.
• Enterprise architecture governance without hands-on implementation of reusable integration patterns.
• Traditional application architecture without AI/ML platform literacy.
• Data architecture alone without experience connecting AI/ML outputs into business-facing systems or workflows.
• Platform advocacy that defaults all work into one tool instead of evaluating fit-for-purpose execution.
• Business product ownership without the technical depth to define integration, security, observability, and interoperability standards.
• Adjacent backgrounds are welcome when the candidate demonstrated direct experience designing production-grade AI/ML integration patterns across multiple enterprise platforms.

Salary and Benefits

We offer a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401K matching program.How much do we pay (Base)? $135,000 - $175,000

*Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.

Travel Requirement:

Negligible travel should be expected with this role

Relocation Assistance:

Relocation may be negotiable for this role

Remote Type:

This position is a hybrid of office/remote working

Skills:

Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}

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Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status.Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.