Senior AI Platform Integration Architect

BP PLC; Denver, Northern (CO, KY); Hybrid; USD 135,000 - 175,000; Full time

Benefits offered by this job

Health, vision and dental insurance

Hybrid work arrangement

401K with company match

Job summary

BP plc, through its bp energy unit, is building an enterprise AI capability and seeks a Senior AI Platform Integration Specialist to define integration of AI/ML outputs with Databricks, AWS, Snowflake, Palantir, APIs, and BI tools. You will establish standards, security, lineage, observability, and reusable patterns across platforms.

You will partner with data, security, enterprise architecture, platform, and business teams to determine where AI capabilities belong, how they are governed, and

Qualifications

• Bachelor’s degree in engineering, computer science, information systems, or related field.
• 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, governed, and 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.

Responsibilities

• 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.

Skills

API design

Event-driven architecture

Service integration

Identity access controls

Data contracts

Observability

Auditability

Reusable reference architectures

Education

Bachelor's degree in engineering

Tools

Databricks

AWS

Snowflake

Palantir

Job description

BP plc, through its bp energy unit, is building an enterprise AI capability and seeks a Senior AI Platform Integration Specialist to define integration of AI/ML outputs with Databricks, AWS, Snowflake, Palantir, APIs, and BI tools. You will establish standards, security, lineage, observability, and reusable patterns across platforms.

You will partner with data, security, enterprise architecture, platform, and business teams to determine where AI capabilities belong, how they are governed, and