AI/ML Engineering and Architecture Manager

Entity: Production & Operations

Job Family Group:

IT&S Group

Job Description:

Role Synopsis

bpx energy is building an enterprise AI capability that can scale safely and deliver real operational value. We are seeking a AI/ML Engineering and Architecture Manager to own how AI is engineered, deployed,   operated , and governed across the company. This is a deeply technical AI engineering leadership role, not a traditional software or application engineering position. Success   requires   hands ‑ on   experience operating production AI/ML systems at scale, including   ModelOps / MLOps , platform engineering, and runtime reliability.  

For 2026, the role will lead centralized AI/ML engineering with federated intake and enablement,   establishing   the standards, platforms, and “paved roads”  required   to move fast without creating risk. As these foundations mature, the role will define and enable a clear pathway to   federated   AI/ML engineering for domain teams (targeted for 2027, based on readiness).  

This role shapes AI capabilities that support   enterprise ‑ critical   operations,   system ‑ level   decisioning, and scalable automation across bpx energy, where engineering rigor and operational reliability have material business impact. “Federated” refers to the architectural and operating model design, enabling future distributed delivery once enterprise standards and governance are in place; engineering execution   remains   centralized i n 2026.  

 

What   You’ll   Do  

• Define and own bpx's enterprise AI/ML engineering architecture, standards, and operating model  

• Operate and evolve modern AI/ML platforms (e.g., Databricks or equivalent) for   production ‑ grade   use  

• Own   ModelOps / MLOps , including deployment automation, monitoring, drift detection, evaluation, and lifecycle management  

• Create the paved road for AI delivery: reusable patterns, approved integrations, tiered access controls, and observable operations  

• Embed security, governance, and audit-ability directly into engineering workflows  

• Enable domain teams through federated intake and enablement, while preventing uncontrolled “wild west” development  

• Partner closely with data, BI, security, and architecture leaders to enforce clear platform roles and interoperability standards  

• Build and lead a small,   high ‑ impact   platform and enablement team  

• Own enterprise AI/ML platform engineering and technical enablement , including   Databricks as the primary AI/ML engineering platform, and technical oversight of Palantir’s integration with AI/ML services to ensure   fit ‑ for ‑ purpose   execution, platform discipline, and adherence to enterprise standards.  

• Palantir value delivery, workflow ownership, and ontology ownership   remain   outside this role ;   this role owns the technical patterns, AI integration standards, and guardrails that   determine   how and when Palantir consumes AI outputs.  

 

What This Role Is Not  

• Not a traditional software engineering or application platform leadership role  

• Not focused on building individual AI use cases or owning business value delivery  

• Not a “ hands ‑ off ” architecture governance position  

 

Required Qualifications

• 5 years of   d emonstrated   experience operating production AI/ML systems in large or sophisticated environments  

• Prior , multi-year   ownership of   ModelOps / MLOps , including deployment, monitoring, evaluation, retraining, and retirement  

• 5  years   h ands ‑ on   experience with modern AI/ML platforms (e.g., Databricks, Snowflake, Palantir or equivalent), beyond experimentation  

• Proven track record to design and   operate   AI engineering systems that differ materially from traditional   application   or data platforms  

• Strong fundamentals in security, controls, and operational reliability (IAM/RBAC, audit logging, incident management) 

• Candidates whose experience is limited to traditional software engineering, application platforms, or data engineering—without direct responsibility for AI/ML operations at scale—will not be considered.  

 

Why This Role Matters  

This role   establishes   the engineering system that makes enterprise AI possible — enabling speed with guardrails, reducing duplication and risk, and ensuring bpx energy can scale AI responsibly over time.  

 

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)? $190,000- $240,000

*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

Up to 25% 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:

Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving

Legal Disclaimer:

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, 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.